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| doctor of science in computer science: The Art of Getting Computer Science PhD Emdad Ahmed, 2013-02-06 The Art of Getting Computer Science PhD is an autobiographical book where Emdad Ahmed highlighted the experiences that he has gone through during the past 25 years (1988-2012) in various capacities both as Computer Science student as well as Computer Science faculty at different higher educational institutions in USA, Australia and Bangladesh. This book will be a valuable source of reference for computing professional at large. In the 150 pages book Emdad Ahmed tells the story in a lively manner balancing computer science hard job and life. |
| doctor of science in computer science: Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering contains a wealth of information on colleges and universities that offer graduate work these exciting fields. The profiled institutions include those in the United States, Canada and abroad that are accredited by U.S. accrediting bodies. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| doctor of science in computer science: Study and Research Guide in Computer Science Wolfgang Tölle, Jason Yasner, Michael Pieper, 2012-12-06 Computer science departments at universities in the U.S.A. are world renowned. This handy reference guide gives detailed profiles of 40 of the best known among them. The profiles are organized in a uniform layout to present basic information, faculty, curriculum, courses for graduate students, affiilated institutions, facilities, research areas, funding, selected projects, and collaborations. Two full alphabetical listings of professors are included, one giving their universities and the other their research areas. The guide will be indispensible for anyone - student or faculty, not only in the U.S.A. - interested in research and education in computer science in the U.S.A. |
| doctor of science in computer science: Coders at Work Peter Seibel, 2009-12-21 Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker |
| doctor of science in computer science: Handbook of Universities , 2006 The Most Authentic Source Of Information On Higher Education In India The Handbook Of Universities, Deemed Universities, Colleges, Private Universities And Prominent Educational & Research Institutions Provides Much Needed Information On Degree And Diploma Awarding Universities And Institutions Of National Importance That Impart General, Technical And Professional Education In India. Although Another Directory Of Similar Nature Is Available In The Market, The Distinct Feature Of The Present Handbook, That Makes It One Of Its Kind, Is That It Also Includes Entries And Details Of The Private Universities Functioning Across The Country.In This Handbook, The Universities Have Been Listed In An Alphabetical Order. This Facilitates Easy Location Of Their Names. In Addition To The Brief History Of These Universities, The Present Handbook Provides The Names Of Their Vice-Chancellor, Professors And Readers As Well As Their Faculties And Departments. It Also Acquaints The Readers With The Various Courses Of Studies Offered By Each University.It Is Hoped That The Handbook In Its Present Form, Will Prove Immensely Helpful To The Aspiring Students In Choosing The Best Educational Institution For Their Career Enhancement. In Addition, It Will Also Prove Very Useful For The Publishers In Mailing Their Publicity Materials. Even The Suppliers Of Equipment And Services Required By These Educational Institutions Will Find It Highly Valuable. |
| doctor of science in computer science: Limits of Graphs in Group Theory and Computer Science Goulnara Arzhantseva, 2009-03-16 A collection of research articles and survey papers, this text highlights current methods and open problems in the geometric, combinatorial, and computational aspects of group theory. New interactions with broad areas of theoretical computer science are also considered. Pub 3/09. |
| doctor of science in computer science: Peterson's Graduate Schools in the U.S. 2010 Peterson's, 2009 Shares overviews of nearly one thousand schools for a variety of disciplines, in a directory that lists educational institutions by state and field of study while sharing complementary information about tuition, enrollment, and faculties. |
| doctor of science in computer science: Innovations and Advances in Computer Sciences and Engineering Tarek Sobh, 2010-03-10 Innovations and Advances in Computer Sciences and Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advances in Computer Sciences and Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2008) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2008). |
| doctor of science in computer science: Graduate Programs in Engineering & Applied Sciences 2011 (Grad 5) Peterson's, 2011-05-01 Peterson's Graduate Programs in Engineering & Applied Sciences contains a wealth of information on colleges and universities that offer graduate degrees in the fields of Aerospace/Aeronautical Engineering; Agricultural Engineering & Bioengineering; Architectural Engineering, Biomedical Engineering & Biotechnology; Chemical Engineering; Civil & Environmental Engineering; Computer Science & Information Technology; Electrical & Computer Engineering; Energy & Power engineering; Engineering Design; Engineering Physics; Geological, Mineral/Mining, and Petroleum Engineering; Industrial Engineering; Management of Engineering & Technology; Materials Sciences & Engineering; Mechanical Engineering & Mechanics; Ocean Engineering; Paper & Textile Engineering; and Telecommunications. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. As an added bonus, readers will find a helpful See Close-Up link to in-depth program descriptions written by some of these institutions. These Close-Ups offer detailed information about the specific program or department, faculty members and their research, and links to the program Web site. In addition, there are valuable articles on financial assistance and support at the graduate level and the graduate admissions process, with special advice for international and minority students. Another article discusses important facts about accreditation and provides a current list of accrediting agencies. |
| doctor of science in computer science: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| doctor of science in computer science: Deterministic and Stochastic Approaches in Computer Modeling and Simulation Romansky, Radi Petrov, Hinov, Nikolay Lyuboslavov, 2023-10-09 In the field of computer modeling and simulation, academic scholars face a pressing challenge—how to navigate the complex landscape of both deterministic and stochastic approaches to modeling. This multifaceted arena demands a unified organizational framework, a comprehensive guide that can seamlessly bridge the gap between theory and practical application. Without such a resource, scholars may struggle to harness the full potential of computer modeling, leaving critical questions unanswered and innovative solutions undiscovered. Deterministic and Stochastic Approaches in Computer Modeling and Simulation serves as the definitive solution to the complex problem scholars encounter. By presenting a comprehensive and unified organizational approach, this book empowers academics to conquer the challenges of computer modeling with confidence. It not only provides a classification of modeling methods but also offers a formalized, step-by-step approach to conducting model investigations, starting from defining objectives to analyzing experimental results. For academic scholars seeking a holistic understanding of computer modeling, this book is the ultimate solution. It caters to the diverse needs of scholars by addressing both deterministic and stochastic approaches. Through its structured chapters, it guides readers from the very basics of computer systems investigation to advanced topics like stochastic analytical modeling and statistical modeling. |
| doctor of science in computer science: Encyclopedia of Computer Science and Technology Allen Kent, James G. Williams, 1990-08-20 This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions. |
| doctor of science in computer science: Computer Science in Social and Behavioral Science Education Daniel Edgar Bailey, 1978 |
| doctor of science in computer science: Growing with Hong Kong , 2002-01-01 The book witnesses and chronicles the 90 years wherein the University of Hong Kong and its graduates were intimately engaged in the development of Hong Kong. |
| doctor of science in computer science: Futuristic e-Governance Security With Deep Learning Applications Kumar, Rajeev, Abdul Hamid, Abu Bakar, Inayah Binti Ya’akub, Noor, Sharma Gaur, Madhu, Kumar, Sanjeev, 2024-01-24 In today's rapidly advancing digital world, governments face the dual challenge of harnessing technology to enhance security systems while safeguarding sensitive data from cyber threats and privacy breaches. Futuristic e-Governance Security With Deep Learning Applications provides a timely and indispensable solution to these pressing concerns. This comprehensive book takes a global perspective, exploring the integration of intelligent systems with cybersecurity applications to protect deep learning models and ensure the secure functioning of e-governance systems. By delving into cutting-edge techniques and methodologies, this book equips scholars, researchers, and industry experts with the knowledge and tools needed to address the complex security challenges of the digital era. The authors shed light on the current state-of-the-art methods while also addressing future trends and challenges. Topics covered range from skill development and intelligence system tools to deep learning, machine learning, blockchain, IoT, and cloud computing. With its interdisciplinary approach and practical insights, this book serves as an invaluable resource for those seeking to navigate the intricate landscape of e-governance security, leveraging the power of deep learning applications to protect data and ensure the smooth operation of government systems. |
| doctor of science in computer science: The Next Generation Innovation in IoT and Cloud Computing with Applications Abid Hussain, Ahmed J Obaid, Garima Tyagi, Amit Sharma, 2024-09-05 The Next Generation Innovation in IoT and Cloud Computing with Applications is a thought-provoking edited book that explores the cutting-edge advancements and transformative potential of the Internet of Things (IoT) and cloud computing. This comprehensive volume brings together leading experts and researchers to delve into the latest developments, emerging trends, and practical applications that define the next era of technological innovation. Readers will gain valuable insights into how IoT and cloud computing synergize to create a dynamic ecosystem, fostering unprecedented connectivity and efficiency across various industries. The book covers a wide spectrum of topics, including state-of-the-art technologies, security and privacy considerations, and real-world applications in fields such as healthcare, smart cities, agriculture, and more. With a focus on the future landscape of technology, this edited collection serves as a pivotal resource for academics, professionals, and enthusiasts eager to stay at the forefront of the rapidly evolving IoT and cloud computing domains. By offering a blend of theoretical perspectives and hands-on experiences, The Next Generation Innovation in IoT and Cloud Computing with Applications serves as a guide to the forefront of technological progress, providing a roadmap for the exciting possibilities that lie ahead in this era of connectivity and digital transformation. |
| doctor of science in computer science: Handbook of Granular Computing Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich, 2008-07-31 Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics. |
| doctor of science in computer science: Smart and Agile Cybersecurity for IoT and IIoT Environments Al-Haija, Qasem Abu, 2024-07-18 The world we live in today is highly interconnected and has seen a significant rise in the use of the Internet of Things (IoT) and Industrial Internet of Things (IIoT). This digital transformation, while beneficial, has also created new cybersecurity challenges. Cyber threats are becoming more sophisticated and frequent, and individuals and organizations alike must adopt intelligent and agile cybersecurity solutions to safeguard their digital assets. Smart and Agile Cybersecurity for IoT and IIoT Environments addresses this pressing challenge by providing a comprehensive guide to securing IoT and IIoT environments. The book offers insights into the latest cybersecurity strategies and technologies, from intelligent threat detection to agile security approaches. By delving into data privacy, network security, and incident response, readers can gain the knowledge and skills to fortify their cybersecurity posture and mitigate risks effectively. |
| doctor of science in computer science: Hyperautomation in Business and Society Darwish, Dina, 2024-07-17 The demand for efficiency and intelligent decision-making has become paramount, prompting a crucial examination of the limitations of traditional automation. Organizations find themselves at a crossroads, searching for a transformative solution that transcends conventional approaches. Enter the era of Hyperautomation an innovative paradigm that goes beyond simple automation by integrating artificial intelligence, robotic process automation, and advanced techniques such as cognitive computing and data mining. Hyperautomation in Business and Society is a comprehensive exploration of how Hyperautomation addresses the complexities of modern challenges, offering a compelling solution to propel businesses and society into a new era of efficiency and intelligent decision-making. This book sets out to achieve a dual purpose: to enlighten and to guide. Starting with a breakdown of intelligent automation, the book progresses to dissect the latest IA technologies, platforms, and the intricate ways in which it optimizes workflows. Spanning diverse applications across sectors such as logistics, marketing, finance, and customer care, it paints a vivid picture of IA's transformative influence. Notably, it addresses the challenges faced by IA implementation, offering a nuanced exploration of real-world applications and their impact on businesses. Geared towards undergraduate and postgraduate students, researchers, and practitioners, this book is a compass for those navigating the ever-changing landscape of intelligent automation. |
| doctor of science in computer science: ICCWS 2017 12th International Conference on Cyber Warfare and Security Dr. Robert F. Mills , Dr. Juan Lopez Jr, 2017 |
| doctor of science in computer science: University of Michigan Official Publication University of Michigan, 2000 Each number is the catalogue of a specific school or college of the University. |
| doctor of science in computer science: Peterson's Graduate Programs in the Physical Sciences, Mathematics, Agricultural Sciences, the Environment & Natural Resources 2012 Peterson's, 2011-12-30 Graduate Programs in the Physical Sciences, Mathematics, Agricultural Sciences, the Environment & Natural Resources 2012 contains more than 2,900 graduate programs in 59 disciplines-including agriculture and food sciences, astronomy and astrophysics, chemistry, physics, mathematics, environmental sciences and management, natural resources, marine sciences, and more. This guide is part of Peterson's six-volume Annual Guides to Graduate Study, the only annually updated reference work of its kind, provides wide-ranging information on the graduate and professional programs offered by U.S.-accredited colleges and universities in the United States and throughout the world. Informative data profiles for more than 2,900 graduate programs in 59 disciplines, including facts and figures on accreditation, degree requirements, application deadlines and contact information, financial support, faculty, and student body profiles. Two-page in-depth descriptions, written by featured institutions, offer complete details on specific graduate programs, schools, or departments as well as information on faculty research and the college or university. Expert advice on the admissions process, financial support, and accrediting agencies. Comprehensive directories list programs in this volume, as well as others in the graduate series. Up-to-date appendixes list institutional changes since the last addition along with abbreviations used in the guide |
| doctor of science in computer science: Multi-Objective Optimization in Computational Intelligence: Theory and Practice Thu Bui, Lam, Alam, Sameer, 2008-05-31 Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices. |
| doctor of science in computer science: IoT Security Paradigms and Applications Sudhir Kumar Sharma, Bharat Bhushan, Narayan C. Debnath, 2020-10-08 Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration, and storage. This book highlights these challenges and provides an integrating framework for these technologies, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated with various IoT systems along with exploring various machine learning-based IoT security solutions. This book brings together state-of-the-art innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate students, researchers in computer science and engineering, communication networking, IoT, machine learning and pattern recognition, this book Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning-based IoT security solutions and highlights the importance of IoT for industries and smart cities Presents various competitive technologies of Blockchain, especially concerned with IoT security Provides insights into the taxonomy of challenges, issues, and research directions in IoT-based applications Includes examples and illustrations to effectively demonstrate the principles, algorithm, applications, and practices of security in the IoT environment |
| doctor of science in computer science: Toward a Safer and More Secure Cyberspace National Academy of Engineering, National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Improving Cybersecurity Research in the United States, 2007-11-24 Given the growing importance of cyberspace to nearly all aspects of national life, a secure cyberspace is vitally important to the nation, but cyberspace is far from secure today. The United States faces the real risk that adversaries will exploit vulnerabilities in the nation's critical information systems, thereby causing considerable suffering and damage. Online e-commerce business, government agency files, and identity records are all potential security targets. Toward a Safer and More Secure Cyberspace examines these Internet security vulnerabilities and offers a strategy for future research aimed at countering cyber attacks. It also explores the nature of online threats and some of the reasons why past research for improving cybersecurity has had less impact than anticipated, and considers the human resource base needed to advance the cybersecurity research agenda. This book will be an invaluable resource for Internet security professionals, information technologists, policy makers, data stewards, e-commerce providers, consumer protection advocates, and others interested in digital security and safety. |
| doctor of science in computer science: ICMLG 2017 5th International Conference on Management Leadership and Governance Dr Thabang Mokoteli, 2017-03 |
| doctor of science in computer science: Mobile Devices and Smart Gadgets in Medical Sciences Umair, Sajid, 2020-02-21 Each day, new applications and methods are developed for utilizing technology in the field of medical sciences, both as diagnostic tools and as methods for patients to access their medical information through their personal gadgets. However, the maximum potential for the application of new technologies within the medical field has not yet been realized. Mobile Devices and Smart Gadgets in Medical Sciences is a pivotal reference source that explores different mobile applications, tools, software, and smart gadgets and their applications within the field of healthcare. Covering a wide range of topics such as artificial intelligence, telemedicine, and oncology, this book is ideally designed for medical practitioners, mobile application developers, technology developers, software experts, computer engineers, programmers, ICT innovators, policymakers, researchers, academicians, and students. |
| doctor of science in computer science: Advanced Techniques in Multimedia Watermarking: Image, Video and Audio Applications Al-Haj, Ali Mohammad, 2010-05-31 This book introduces readers to state-of-art research in multimedia watermarking in the different disciplines of watermarking, addressing the different aspects of advanced watermarking research; modeling and theoretical analysis, advanced embedding and extraction techniques, software and hardware implementations, and performance evaluations of watermarking systems--Provided by publisher. |
| doctor of science in computer science: The world of learning 1976-77 , 1976 |
| doctor of science in computer science: Graph-theoretic Techniques for Web Content Mining Adam Schenker, 2005 This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use of graph distance ? a relatively new approach for determining graph similarity ? the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors. This allows for the utilization of additional information found in graph representations, while at the same time employing well-known, proven algorithms.To demonstrate and investigate these novel techniques, the authors have selected the domain of web content mining, which involves the clustering and classification of web documents based on their textual substance. Several methods of representing web document content by graphs are introduced; an interesting feature of these representations is that they allow for a polynomial time distance computation, something which is typically an NP-complete problem when using graphs. Experimental results are reported for both clustering and classification in three web document collections using a variety of graph representations, distance measures, and algorithm parameters.In addition, this book describes several other related topics, many of which provide excellent starting points for researchers and students interested in exploring this new area of machine learning further. These topics include creating graph-based multiple classifier ensembles through random node selection and visualization of graph-based data using multidimensional scaling. |
| doctor of science in computer science: Navigating the Augmented and Virtual Frontiers in Engineering Siva Subramanian, R., Nalini, M., Aswini, J., 2024-07-22 In the ever-changing world of engineering, the confluence of Augmented Reality (AR) and Virtual Reality (VR) promises a revolutionary frontier; one that has the potential to remodel the fundamental fabric of our designed world. As our society approaches the genesis of a new age, the need for the study of this bourgeoning technology becomes clear. If harnessed properly, AR and VR have the capacity to revolutionize basic aspects of engineering methods. The combination of AR and VR can tackle the rising difficulties that engineers encounter in their design processes by providing improved tools for visualization and conceptualization. Navigating the Augmented and Virtual Frontiers in Engineering, is a thorough examination of the transformational impact of AR and VR in the vast field of engineering. This book explores the fundamental concepts, practical applications, and significant consequences of incorporating AR and VR technology into numerous engineering disciplines. It provides a comprehensive knowledge of how these immersive technologies are used in design processes, training simulations, maintenance procedures, and collaborative engineering projects. Covering topics such as asset management, geographic analysis, and sustainability, this book is an excellent resource for engineers, researchers, technological developers, postgraduate students, educators, academicians, and more. |
| doctor of science in computer science: Multisector Insights in Healthcare, Social Sciences, Society, and Technology Burrell, Darrell Norman, 2024-02-27 Due to a variety of global challenges in recent times, the dissolution of traditional boundaries between academic disciplines has given rise to a pressing need for innovative problem-solving. Complex issues affect our societies, spanning healthcare, social sciences, organizational behavior, and technology. This shifting landscape necessitates a comprehensive exploration into the interconnections between these diverse fields. The book, Multisector Insights in Healthcare, Social Sciences, Society, and Technology, is an innovative guide that seeks to examine the relationships between various fields of knowledge. It celebrates the transformative impact of applied research and interdisciplinary collaboration as the driving force behind overcoming the most significant challenges of our time. As the boundaries between disciplines blur, the book takes readers on a journey through multifaceted issues at the intersection of healthcare, social sciences, organizational behavior, and technology. Chapters within this book unravel the complexities of healthcare ethics, global health initiatives, organizational dynamics, and technological advancements. Through literature reviews, qualitative and quantitative studies, and real-world case analyses, the compendium not only identifies the problems but also offers concrete, evidence-backed solutions. This interdisciplinary approach underscores the need to address the pressing challenges of our time, emphasizing the need for collaborative strategies to drive positive change. |
| doctor of science in computer science: Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care Murugan, Thangavel, W., Jaisingh, P., Varalakshmi, 2024-07-22 Artificial intelligence (AI) has emerged as a transformative force across various domains, revolutionizing the way we perceive and address challenges in healthcare. The convergence of AI and healthcare holds immense promise, offering unprecedented opportunities to enhance medical diagnosis, treatment, and patient care. In todays world, the intersection of AI and healthcare stands as one of the most promising frontiers for innovation and progress. Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care embodies this convergence, offering a comprehensive exploration of how AI is revolutionizing various aspects of healthcare delivery. At its core, this book addresses the urgent need for more effective and efficient healthcare solutions in an increasingly complex and data-rich environment. Covering topics such as chronic disease, image classification, and precision medicine, this book is an essential resource for healthcare professionals, medical researchers, AI and machine learning specialists, healthcare administrators and executives, medical educators and students, biomedical engineers, healthcare IT professionals, policy makers and regulators, academicians, and more. |
| doctor of science in computer science: Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing Rudolf Seising, Héctor Allende-Cid, 2016-10-20 The book is an authoritative collection of contributions by leading experts on the topics of fuzzy logic, multi-valued logic and neural network. Originally written as an homage to Claudio Moraga, seen by his colleagues as an example of concentration, discipline and passion for science, the book also represents a timely reference guide for advance students and researchers in the field of soft computing, and multiple-valued logic. |
| doctor of science in computer science: How to Complete and Survive a Doctoral Dissertation David Sternberg, 2014-11-04 How to Complete and Survive a Doctoral Dissertation by David Sternberg Mastering these skills spells the difference between A.B.D. and Ph.D. -refuting the magnum opus myth -coping with the dissertation as obsession (magnificent or otherwise) -the fine art of selecting a topic -writing the dissertation with publication in mind -when to stand your ground and when to prudently retreat if the committee's conception of your thesis differs substantially from your own -dealing with obstructive committee members, and keeping the fences mended -how to reconsider negative findings as useful data -reviewing your progress, and getting out of the dissertation dumps -defending your paper successfully--distinguishing between mere formalities and a serious substantive challenge -exploiting the career potential of your dissertation -and much, much more |
| doctor of science in computer science: Indian Computer Science (CS) & Information Technology (IT) Academic Reform (Past) Activism Blog Book Ravi S. Iyer, 2020-03-10 Main author Ravi S. Iyer created the eklavyasai.blogspot.com blog and used it from September 2011 to play a part-time, peaceful and amicable, Indian Computer Science (CS) and Information Technology (IT) academic reform, Internet-based activist role. His focus was on improving the practice of software development in Indian CS & IT academia. But he thought that it is such a vital part of the CS & IT field and that it is so poor in many parts of Indian CS & IT academia, that he referred to his efforts as Indian CS & IT academic reform activism. Other contributors to the blog have given their views on certain topics. Main work period has been from 2011 to 2014 with a little work later, off & on. The main author is no longer active in this area. This book is aimed at helping other activists involved in improving the practice of software development in Indian CS and IT academia to get the views of the blog in a convenient form. The book may also be of interest to similar activists in other countries. About the author: Main author Ravi S. Iyer is a Physics graduate from Ruia college, University of Bombay (Mumbai) who was industry trained and later self-taught in software development. He worked in the international software industry (US, Europe, Japan, South Korea, India etc.) developing systems as well as applications software (CS & IT) for over 18 years after which he retired from commercial work. Later, mainly as a visiting faculty, he offered free service of teaching programming courses (lab. courses) and being a technical consultant for student projects in a Maths & Computer Science department of a deemed university in India for 9 years. |
| doctor of science in computer science: Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future Sudhir K. Sharma, Bharat Bhushan, Parma N. Astya, Narayan C. Debnath, 2021-07-08 This reference presents information about different facets of IoT and blockchain systems that have been recently proposed for practical situations. Chapters provide knowledge about how these technologies are applied in functions related to trust management, identity management, security threats, access control and privacy. Key Features: - Introduces the reader to fundamental concepts of IoT and blockchain technology - reports advances in the field of IoT, ubiquitous computing and blockchain computing - includes the applications of different frameworks - explains the role of blockchains in improving IT security - provides examples of smart grids, data transmission models, digital business platforms, agronomics and big data solutions - Includes references for further reading Blockchain Applications for Secure IoT Frameworks Technologies Shaping the Future is a handy reference for information technology professionals and students who want updated information about applications of IoT and blockchains in secure operational and business processes. |
| doctor of science in computer science: Big Data Analytics and Intelligence Poonam Tanwar, Vishal Jain, Chuan-Ming Liu, Vishal Goyal, 2020-09-30 Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval. |
| doctor of science in computer science: Analytics and Knowledge Management Suliman Hawamdeh, Hsia-Ching Chang, 2018-08-06 The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. |
| doctor of science in computer science: AI-Powered IoT in the Energy Industry S. Vijayalakshmi, Savita ., Balamurugan Balusamy, Rajesh Kumar Dhanaraj, 2023-04-05 AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models. |
为什么英语中，医生叫doctor，博士也叫doctor？ - 知乎
1、doctor的本意是“讲授者”。过去几乎所有的自然学科和人文学科都叫philosophy，所以学问最高者被称为doctor of philosophy，这bai也是博士Ph.D的来历。但是医学不属于刚才说 …
Prof. Dr. 与 Prof.有什么区别？ - 知乎
Dr.是doctor的简写，即博士（最高学位。且必须是取得该头衔后才能称呼。在读博士是 Doctoral Candidate）。 by the way：博士后不是学位的一种，只是在某处工作的博士的类职称而已。 …
为什么博士叫PhD？ - 知乎
博士（Doctor）学位意味着能独立完成研究任务。 （科学网-博士究竟和硕士有何不同——重申陈式兔子定理-陈安的博文） 如那张图和许多人所说，博士能够创造新的知识。 许多人没有博士 …
请问MD PhD PharmD 等等这些，各代表哪种医学学历? - 知乎
DO Doctor of Osteopathic 也是医学博士，美国开设医学院校中有部分是DO院校，比MD多学习一些正骨医学，鄙视链低于上面。 MBBS Bachelor of Medicine and Bachelor of Surgery我国（ …
研究生，硕士，博士，phd等这些学历分别是什么？ - 知乎
博士拿的是博士学位，硕士拿的是硕士学位。博士还可以分为PhD、DBA、DD等，国外分的正式一点，国内目前图一乐。“博士”或者“Doctor”这个头衔一般授予拥有博士学位的人。 所以每次有 …
为什么说一天一个苹果不生病，an apple a day, keep doctor away?
"An apple a day keeps the doctor away" 一天一个苹果，医生离你远 这句谚语出现在1913年杂志封面上 19世纪，疾病的治疗效果没有并没有现在好，对疾病的了解还停留在表面，当时普通人 …
有哪些下载ed2k的软件？ - 知乎
都是一些无良的推荐，上面问可以下载ed2k的软件，你们回答问题之前都试了吗？推荐 BitComet 比特彗星、 Motrix 、qBittorrent、uTorrent、BitComet，文件蜈蚣
求《神秘博士》的官方观看顺序！？ - 知乎
我看完了第二季，rose和doctor分开了。所以我接下来得看剧场版,特别篇，还是什么？同时，能跟我解释下那…
请问专业博士和学术博士有什么区别？对以后的工作有什么影响？
专业/授课博士，英语名称professional/ taught doctorate，最后学位是doctor of+具体专业。 学术/哲学博士，英语名称research doctorate/doctor of philosophy，最后学位是doctor of …
“工学硕士”和“工程硕士”分别该如何翻译？ - 知乎
A Master of Science in Engineering can require completion of a thesis and qualifies the holder to apply for a program leading to a Doctor of Philosophy (PhD) in engineering. A Master of …
为什么英语中，医生叫doctor，博士也叫doctor？ - 知乎
1、doctor的本意是“讲授者”。过去几乎所有的自然学科和人文学科都叫philosophy，所以学问最高者被称为doctor of philosophy，这bai也是博士Ph.D的来历。但是医学不属于刚才说 …
Prof. Dr. 与 Prof.有什么区别？ - 知乎
Dr.是doctor的简写，即博士（最高学位。且必须是取得该头衔后才能称呼。在读博士是 Doctoral Candidate）。 by the way：博士后不是学位的一种，只是在某处工作的博士的类职称而已。 …
为什么博士叫PhD？ - 知乎
博士（Doctor）学位意味着能独立完成研究任务。 （科学网-博士究竟和硕士有何不同——重申陈式兔子定理-陈安的博文） 如那张图和许多人所说，博士能够创造新的知识。 许多人没有博士 …
请问MD PhD PharmD 等等这些，各代表哪种医学学历? - 知乎
DO Doctor of Osteopathic 也是医学博士，美国开设医学院校中有部分是DO院校，比MD多学习一些正骨医学，鄙视链低于上面。 MBBS Bachelor of Medicine and Bachelor of Surgery我国（ …
研究生，硕士，博士，phd等这些学历分别是什么？ - 知乎
博士拿的是博士学位，硕士拿的是硕士学位。博士还可以分为PhD、DBA、DD等，国外分的正式一点，国内目前图一乐。“博士”或者“Doctor”这个头衔一般授予拥有博士学位的人。 所以每次有 …
为什么说一天一个苹果不生病，an apple a day, keep doctor …
"An apple a day keeps the doctor away" 一天一个苹果，医生离你远 这句谚语出现在1913年杂志封面上 19世纪，疾病的治疗效果没有并没有现在好，对疾病的了解还停留在表面，当时普通人 …
有哪些下载ed2k的软件？ - 知乎
都是一些无良的推荐，上面问可以下载ed2k的软件，你们回答问题之前都试了吗？推荐 BitComet 比特彗星、 Motrix 、qBittorrent、uTorrent、BitComet，文件蜈蚣
求《神秘博士》的官方观看顺序！？ - 知乎
我看完了第二季，rose和doctor分开了。所以我接下来得看剧场版,特别篇，还是什么？同时，能跟我解释下那…
请问专业博士和学术博士有什么区别？对以后的工作有什么影响？ …
专业/授课博士，英语名称professional/ taught doctorate，最后学位是doctor of+具体专业。 学术/哲学博士，英语名称research doctorate/doctor of philosophy，最后学位是doctor of …
“工学硕士”和“工程硕士”分别该如何翻译？ - 知乎
A Master of Science in Engineering can require completion of a thesis and qualifies the holder to apply for a program leading to a Doctor of Philosophy (PhD) in engineering. A Master of …
