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| engineering applications of artificial intelligence: Applications of Artificial Intelligence in Engineering Xiao-Zhi Gao, Rajesh Kumar, Sumit Srivastava, Bhanu Pratap Soni, 2021-05-10 This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence. |
| engineering applications of artificial intelligence: Applications of Artificial Intelligence in Process Systems Engineering Jingzheng Ren, Weifeng Shen, Yi Man, Lichun Dong, 2021-06-05 Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. - Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms - Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis - Gives direction to future development trends of AI technologies in chemical and process engineering |
| engineering applications of artificial intelligence: Emerging Artificial Intelligence Applications in Computer Engineering Ilias G. Maglogiannis, 2007 Provides insights on how computer engineers can implement artificial intelligence (AI) in real world applications. This book presents practical applications of AI. |
| engineering applications of artificial intelligence: Applications of Artificial Intelligence in Engineering VI George Rzevski, R.A. Adey, 2012-12-06 This book contains papers presented at the sixth International Conference on Application of Artificial Intelligence in Engineering held in Oxford, UK in was held in Southampton, UK July 1991. The first conference in this series the second in Cambridge, Massachusetts, USA in 1987, the third in 1986, 1989 in Palo Alto, California, USA in 1988, the fourth in Cambridge, UK in and the fifth in Boston, Massachusetts, USA in 1990. The conference series has now established itself as the unique forum for the presentation of the latest research, development and application of artificial intelligence (AI) in all fields of engineering. Consequently, books of conference proceedings provide a historical record of the application of AI in engineering design, analysis, simulation, planning, scheduling, monitoring, control, diagnosis, reliability and quality, as well as in robotics and manufacturing systems, from the early beginnings to mature applications of today. Whilst previously the field was dominated by knowledge-based systems, in this latest volume, for the first time, a significant proportion of papers cover the paradigms of neural networks and genetic algorithms. Learning and self organising behaviour of systems based on these paradigms are particularly important in engineering applications. From a large number of submitted proposals over sixty papers have been selected by members of the Advisory Committee who acted as referees. Pa pers have been grouped under the following headings. |
| engineering applications of artificial intelligence: Applications of Artificial Intelligence in Electrical Engineering Khalid, Saifullah, 2020-03-27 Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing makes it easy to forget how complex artificial intelligence has become. Engineering provides various current and prospective applications of these new and complex artificial intelligence technologies. Applications of Artificial Intelligence in Electrical Engineering is a critical research book that examines the advancing developments in artificial intelligence with a focus on theory and research and their implications. Highlighting a wide range of topics such as evolutionary computing, image processing, and swarm intelligence, this book is essential for engineers, manufacturers, technology developers, IT specialists, managers, academicians, researchers, computer scientists, and students. |
| engineering applications of artificial intelligence: Applications of Artificial Intelligence Techniques in the Petroleum Industry Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, Nait Amar Menad, Sassan Hajirezaie, 2020-08-26 Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. - Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering - Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms - Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input |
| engineering applications of artificial intelligence: Industrial and Engineering Applications of Artificial Intelligence and Expert Systems M Ali, M Matthews, D Potter, 1997-10-28 The field of artificial intelligence has been maturing for a number of years and has inspired many researchers to produce innovative intelligent systems to demonstrate the capability of intelligent machines and their success in solving human problems. Only recently, however, have intelligent systems shown progress in demonstrating success in real-life applications, particularly in industrial environments. Many organizations have successfully used at least some limited aspects of intelligent research in their day-to-day operations. The objectives of this volume are to focus on these real-life applications and report a comprehensive view of the theoretical and applied aspects of intelligent systems technology. The most recent work in industrial, commercial, military, and academic environments is summarized, including 61 state-of-the-art reports on active research applied to real world problems. |
| engineering applications of artificial intelligence: Engineering Applications of Artificial Intelligence Aziza Chakir, Johanes Fernandes Andry, Arif Ullah, Rohit Bansal, Mohamed Ghazouani, 2024-02-13 Making intelligent devices and systems is the science and engineering of artificial intelligence (AI). In order to solve many of the most difficult problems in computer science, this important multidisciplinary discipline plays a crucial role in the field of technology nowadays. The book also addresses the topic of machine learning because it is closely related to AI. By no means is the list of subjects below intended to be comprehensive. The main objective of this book is to provide researchers, scientists, business professionals, and academics insight into original theories and research findings on the use of human cognitive models in diverse real-world computing applications. Through this book, the authors built an interdisciplinary forum where researchers from many fields may share their work and explore how to engineer human brain processes, learning mechanisms, and decision-making processes. |
| engineering applications of artificial intelligence: Artificial Intelligence in Chemical Engineering Thomas E. Quantrille, Y. A. Liu, 2012-12-02 Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. - Allows the reader to learn AI quickly using inexpensive personal computers - Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions - Includes a computer diskette for an illustrated case study - Demonstrates an expert system for separation synthesis (EXSEP) - Presents a detailed review of published literature on expert systems and neural networks in chemical engineering |
| engineering applications of artificial intelligence: Artificial Intelligence in Construction Engineering and Management Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski, 2021-06-18 This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally. |
| engineering applications of artificial intelligence: Applications of Artificial Intelligence Techniques in Engineering Hasmat Malik, Smriti Srivastava, Yog Raj Sood, Aamir Ahmad, 2018-09-28 The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques. |
| engineering applications of artificial intelligence: Artificial Intelligence in Mechanical and Industrial Engineering Kaushik Kumar, Divya Zindani, J. Paulo Davim, 2021-06-20 Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains. |
| engineering applications of artificial intelligence: Artificial Intelligence and Industrial Applications Tawfik Masrour, Ibtissam El Hassani, Anass Cherrafi, 2020-07-18 This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco. The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education. The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject. |
| engineering applications of artificial intelligence: Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering Gebrail Bekdas, Sinan Melih Nigdeli, Melda Yucel, 2019 This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering-- |
| engineering applications of artificial intelligence: Advances in Metaheuristics for Hard Optimization Patrick Siarry, Zbigniew Michalewicz, 2007-12-06 Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics. |
| engineering applications of artificial intelligence: Systems Engineering and Artificial Intelligence William F. Lawless, Ranjeev Mittu, Donald A. Sofge, Thomas Shortell, Thomas A. McDermott, 2021-11-02 This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges. |
| engineering applications of artificial intelligence: Applications of Artificial Intelligence Techniques in Engineering Hasmat Malik, Smriti Srivastava, Yog Raj Sood, Aamir Ahmad, 2018-09-18 The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques. |
| engineering applications of artificial intelligence: Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects Meziane, Farid, Vadera, Sunil, 2009-07-31 This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement--Provided by publisher. |
| engineering applications of artificial intelligence: The Application of Artificial Intelligence Zoltán Somogyi, 2021-03-11 This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence. |
| engineering applications of artificial intelligence: Industrial And Engineering Applications Of Artificial Intelligence And Expert Systems Moonis Ali, M. Ali, 1988-08 |
| engineering applications of artificial intelligence: Artificial Neural Networks for Engineering Applications Alma Y Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco, 2019-02-13 Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications. |
| engineering applications of artificial intelligence: Artificial Intelligence in Structural Engineering Ian Smith, 1998-07-15 This book presents the state of the art of artificial intelligence techniques applied to structural engineering. The 28 revised full papers by leading scientists were solicited for presentation at a meeting held in Ascona, Switzerland, in July 1998. The recent advances in information technology, in particular decreasing hardware cost, Internet communication, faster computation, increased bandwidth, etc., allow for the application of new AI techniques to structural engineering. The papers presented deal with new aspects of information technology support for the design, analysis, monitoring, control and diagnosis of various structural engineering systems. |
| engineering applications of artificial intelligence: Engineering Applications of Artificial Intelligence Aziza Chakir, |
| engineering applications of artificial intelligence: Artificial Intelligence in Process Engineering Michael Mavrovouniotis, 2012-12-02 Artificial Intelligence in Process Engineering aims to present a diverse sample of Artificial Intelligence (AI) applications in process engineering. The book contains contributions, selected by the editors based on educational value and diversity of AI methods and process engineering application domains. Topics discussed in the text include the use of qualitative reasoning for modeling and simulation of chemical systems; the use of qualitative models in discrete event simulation to analyze malfunctions in processing systems; and the diagnosis of faults in processes that are controlled by Programmable Logic Controllers. There are also debates on the issue of quantitative versus qualitative information. The control of batch processes, a design of a system that synthesizes bioseparation processes, and process design in the domain of chemical (rather than biochemical) systems are likewise covered in the text. This publication will be of value to industrial engineers and process engineers and researchers. |
| engineering applications of artificial intelligence: Applications of artificial intelligence in engineering problems , |
| engineering applications of artificial intelligence: Artificial Intelligence and Industrial Applications Tawfik Masrour, Anass Cherrafi, Ibtissam El Hassani, 2020-09-01 This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco. The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject. |
| engineering applications of artificial intelligence: Deep Learning in Gaming and Animations Moolchand Sharma, Deevyankar Agarwal, Vikas Chaudhary, Prerna Sharma, 2024-10-04 The text discusses the core concepts and principles of deep learning in gaming and animation with applications in a single volume. It will be a useful reference text for graduate students, and professionals in diverse areas such as electrical engineering, electronics and communication engineering, computer science, gaming and animation. |
| engineering applications of artificial intelligence: Artificial Intelligence Methods For Software Engineering Meir Kalech, Rui Abreu, Mark Last, 2021-06-15 Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s) |
| engineering applications of artificial intelligence: Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA, AIE, Setsuo aOsuga, 1996-05-01 |
| engineering applications of artificial intelligence: International Conference on Artificial Intelligence: Advances and Applications 2019 Garima Mathur, Harish Sharma, Mahesh Bundele, Nilanjan Dey, Marcin Paprzycki, 2020-02-28 This book introduces research presented at the “International Conference on Artificial Intelligence: Advances and Applications-2019 (ICAIAA 2019),” a two-day conference and workshop bringing together leading academicians, researchers as well as students to share their experiences and findings on all aspects of engineering applications of artificial intelligence. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN and NFV. As such it is a valuable resource for students, academics and practitioners in industry working on AI applications. |
| engineering applications of artificial intelligence: 7th Int. Conf. Industrial & En Frank D. Anger, Rita V. Rodriguez, Moonis Ali, 1994-05-23 |
| engineering applications of artificial intelligence: Engineering Applications of Neural Networks Giacomo Boracchi, Lazaros Iliadis, Chrisina Jayne, Aristidis Likas, 2017-07-30 This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE). |
| engineering applications of artificial intelligence: Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection Almoataz Y. Abdelaziz, Shady Hossam Eldeen Abdel Aleem, Anamika Yadav, 2021-10-21 Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects. FEATURES Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues Presents an introduction to enhanced electricity system analysis using decision-making tools Covers AI applications in different protective relaying functions Discusses issues and challenges in the protection of transmission and distribution systems Includes a dedicated chapter on case studies and applications This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids. |
| engineering applications of artificial intelligence: Artificial Intelligence David L. Poole, Alan K. Mackworth, 2017-09-25 Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains. |
| engineering applications of artificial intelligence: Applications of Artificial Intelligence in Additive Manufacturing Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, J. Paulo Davim, 2021-10-30 This book provides introductory instruction on how to learn how to use artificial intelligence to produce additively manufactured parts, including a description of the starting points, what you can know, how it blends and how artificial intelligence in additive manufacturing apply-- |
| engineering applications of artificial intelligence: Intelligent Systems for Engineers and Scientists Adrian A. Hopgood, 2012-02-02 The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself. The first part of the book describes key techniques of artificial intelligence—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance. Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit/ |
| engineering applications of artificial intelligence: Artificial Intelligence (AI) S. Kanimozhi Suguna, M. Dhivya, Sara Paiva, 2021-05-27 This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications. The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology. |
| engineering applications of artificial intelligence: Applications of Artificial Intelligence for Smart Technology Swarnalatha, P., Prabu, S., 2020-10-30 As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices. |
| engineering applications of artificial intelligence: Handbook of Artificial Intelligence in Biomedical Engineering Saravanan Krishnan, Ramesh Kesavan, B. Surendiran, G.S. Mahalakshmi, 2021-03-30 Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. |
| engineering applications of artificial intelligence: Applications of Machine Learning Prashant Johri, Jitendra Kumar Verma, Sudip Paul, 2020-05-04 This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics. |
Engineering Applications of Artificial Intelligence | Journal ...
This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some …
计算机科学SCI期刊推荐：ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Dec 9, 2022 · engineering applications of artificial intelligence提供了一个国际论坛，用于快速发表描述人工智能方法在所有工程分支中实际应用的工作。 提交的论文应报告用于现实世界工程 …
《ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE …
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Engineering Applications Of Artificial Intelligence
《Engineering Applications Of Artificial Intelligence》自1988出版以来，是一本计算机科学优秀杂志。 致力于发表原创科学研究结果，并为计算机科学各个领域的原创研究提供一个展示平 …
Engineering Applications of Artificial Intelligence
Apr 5, 2025 · The integration of AI in engineering has given rise to a new paradigm, often referred to as Engineering Applications of Artificial Intelligence (EAAI). This paradigm shift has enabled …
Engineering Applications Of Artificial Intelligence
Engineering Applications Of Artificial Intelligence创刊于1988年，由PERGAMON-ELSEVIER SCIENCE LTD出版商出版，收稿方向涵盖工程技术 - 工程：电子与电气全领域，此刊是该细分 …
Engineering Applications of Artificial Intelligence
学术期刊 Engineering Applications of Artificial Intelligence，期刊 ISSN: 0952-1976, 1873-6769。人工智能 (AI) 在第四次工业革命中发挥着重要作用，我们看到各种机器学习方法发生了很大变 …
【期刊】【Engineering Applications of Artificial Intelligence】 …
Mar 9, 2025 · Engineering Applications of Artificial Intelligence publishes: 人工智能的工程应用出版了： • Survey papers/tutorials. • 调查论文/教程。 • Contributed papers — detailed …
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Engineering Applications Of Artificial Intelligence（人工智能的工程应用杂志）是由Elsevier Ltd出版社主办的一本以工程技术-工程：电子与电气为研究方向，OA非开放（Not Open Access） …
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Nov 1, 2023 · Engineering Applications of Artificial Intelligence是一本关于人工智能在工程领域应用的进展和最新技术的期刊，对领先的工业从业者和应用研究人员具有价值。 研究主题包 …
Engineering Applications of Artificial Intelligence | Journal ...
This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some …
计算机科学SCI期刊推荐：ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Dec 9, 2022 · engineering applications of artificial intelligence提供了一个国际论坛，用于快速发表描述人工智能方法在所有工程分支中实际应用的工作。 提交的论文应报告用于现实世界工程应用的人 …
《ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE …
3 days ago · 《engineering applications of artificial intelligence》发布于爱科学网，并永久归类相关sci期刊导航类别中，本站只是硬性分析 "《eng appl artif intel》" 杂志的可信度。学术期刊真正的价 …
Engineering Applications Of Artificial Intelligence
《Engineering Applications Of Artificial Intelligence》自1988出版以来，是一本计算机科学优秀杂志。 致力于发表原创科学研究结果，并为计算机科学各个领域的原创研究提供一个展示平台，以促进计算 …
Engineering Applications of Artificial Intelligence
Apr 5, 2025 · The integration of AI in engineering has given rise to a new paradigm, often referred to as Engineering Applications of Artificial Intelligence (EAAI). This paradigm shift has enabled …
Engineering Applications Of Artificial Intelligence
Engineering Applications Of Artificial Intelligence创刊于1988年，由PERGAMON-ELSEVIER SCIENCE LTD出版商出版，收稿方向涵盖工程技术 - 工程：电子与电气全领域，此刊是该细分领域中属于非常 …
Engineering Applications of Artificial Intelligence
学术期刊 Engineering Applications of Artificial Intelligence，期刊 ISSN: 0952-1976, 1873-6769。人工智能 (AI) 在第四次工业革命中发挥着重要作用，我们看到各种机器学习方法发生了很大变化。实 …
【期刊】【Engineering Applications of Artificial Intelligence】 …
Mar 9, 2025 · Engineering Applications of Artificial Intelligence publishes: 人工智能的工程应用出版了： • Survey papers/tutorials. • 调查论文/教程。 • Contributed papers — detailed expositions of …
Engineering Applications Of Artificial Intelligence_WOS分 …
Engineering Applications Of Artificial Intelligence（人工智能的工程应用杂志）是由Elsevier Ltd出版社主办的一本以工程技术-工程：电子与电气为研究方向，OA非开放（Not Open Access）的国际优秀 …
Engineering Applications of Artificial Intelligence怎么样
Nov 1, 2023 · Engineering Applications of Artificial Intelligence是一本关于人工智能在工程领域应用的进展和最新技术的期刊，对领先的工业从业者和应用研究人员具有价值。 研究主题包括：人工智能 …
