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Author: Luis M. Camarinha-Matos Publisher: Springer Nature ISBN: 3030782883 Category : Computers Languages : en Pages : 360
Book Description
This book constitutes the refereed proceedings of the 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, held in Costa de Caparica, Portugal, in July 2021.* The 34 papers presented were carefully reviewed and selected from 92 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and service systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; smart manufacturing; cyber-physical systems and digital twins; intelligent decision making; smart energy management; communications and electronics; classification systems; smart healthcare systems; and medical devices. *The conference was held virtually. Chapters “Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing” and “Predictive Manufacturing: Enabling Technologies, Frameworks and Applications” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Luis M. Camarinha-Matos Publisher: Springer Nature ISBN: 3030782883 Category : Computers Languages : en Pages : 360
Book Description
This book constitutes the refereed proceedings of the 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, held in Costa de Caparica, Portugal, in July 2021.* The 34 papers presented were carefully reviewed and selected from 92 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and service systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; smart manufacturing; cyber-physical systems and digital twins; intelligent decision making; smart energy management; communications and electronics; classification systems; smart healthcare systems; and medical devices. *The conference was held virtually. Chapters “Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing” and “Predictive Manufacturing: Enabling Technologies, Frameworks and Applications” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Luis M. Camarinha-Matos Publisher: ISBN: 9783030782894 Category : Languages : en Pages : 0
Book Description
This book constitutes the refereed proceedings of the 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, held in Costa de Caparica, Portugal, in July 2021.* The 34 papers presented were carefully reviewed and selected from 92 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and service systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; smart manufacturing; cyber-physical systems and digital twins; intelligent decision making; smart energy management; communications and electronics; classification systems; smart healthcare systems; and medical devices. *The conference was held virtually.
Author: Floriana Esposito Publisher: Springer Science & Business Media ISBN: 3540265511 Category : Computers Languages : en Pages : 878
Book Description
“Intelligent systems are those which produce intelligent o?springs.” AI researchers have been focusing on developing and employing strong methods that are capable of solving complex real-life problems. The 18th International Conference on Industrial & Engineering Applications of Arti?cial Intelligence & Expert Systems (IEA/AIE 2005) held in Bari, Italy presented such work performed by many scientists worldwide. The Program Committee selected long papers from contributions presenting more complete work and posters from those reporting ongoing research. The Committee enforced the rule that only original and unpublished work could be considered for inclusion in these proceedings. The Program Committee selected 116 contributions from the 271 subm- ted papers which cover the following topics: arti?cial systems, search engines, intelligent interfaces, knowledge discovery, knowledge-based technologies, na- ral language processing, machine learning applications, reasoning technologies, uncertainty management, applied data mining, and technologies for knowledge management. The contributions oriented to the technological aspects of AI and the quality of the papers are witness to a research activity clearly aimed at consolidating the theoretical results that have already been achieved. The c- ference program also included two invited lectures, by Katharina Morik and Roberto Pieraccini. Manypeoplecontributedindi?erentwaystothesuccessoftheconferenceand to this volume. The authors who continue to show their enthusiastic interest in applied intelligence research are a very important part of our success. We highly appreciate the contribution of the members of the Program Committee, as well as others who reviewed all the submitted papers with e?ciency and dedication.
Author: Robbie Allen Publisher: Addison-Wesley Professional ISBN: 9780135226209 Category : Computers Languages : en Pages : 99998
Book Description
Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
Author: Mariya Yao Publisher: ISBN: 9780998289021 Category : Artificial intelligence Languages : en Pages : 246
Book Description
This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.
Author: Johnny Ch LOK Publisher: ISBN: 9781729014806 Category : Languages : en Pages : 139
Book Description
PrepareI write this book aim to let readers to feel whether how artificial intelligent technology will influence future technological development to influence human life. How can artificial intelligent tools can bring positive or negative impact to influence future technological development. In first chapter, I shall explain how (AI) influence future technology development to influence human living standard. Whether future (AI) will influence technological development to raise human living standard only in possible. Will (AI) bring negative impact to human living standard when it assist technological development ? I suppose that human living of standard will become better if future human technology will be improved from (AI) development for some industries aspects, such as education, manurfacturing, communication industries.In chapter two, I shall indicate that nowadays, artificial intelligence (AI) technology is popular to be applied to different industry aspects, such as medical, construction, transportation, hospital, education etc. Although, (AI) is a human invention new development. IN fact, it seems only beneficial to human's daily life. But, it will also have threats to influence human's safety in possible , if some scientists or self-interest mind people who aim to apply (AI) to earn more profit or apply (AI) tools to be weapon to attack other countries to achieve to dominate all human's ambitious intention. Thus, (AI) will bring negative influences to our society, instead of positive influences if we can not apply this kind of new technological tools immorally. In this chapter, I shall give my opinions to indicate what reasons will cause (AI) artificial intelligent tools to be applied to social military defense weapon by human's intention. In my this books, I hope my readers can know what will cause human's immoral behaviors to bring our societies to bring more dangerous or risks or threats if human applied (AI) technology to achieve whose immoral or ambitious intention. Finally, I hope that human ought not apply (AI) technology to do any behavioral attack to satisfy ourselves interest or dominate global world ambition to avoid (AI) technological war occurrence in the future one day.In chapter three, I shall explain how future (AI) technology can raise future computer innovation development to different industries applied. I aim to give my opinion to predit how future (AI) technology has direct relationship to assist global computer industry innovation. I shall explain why China and Taiwan will be US computer industry major competitors in the future if China succeeded to develop (AI) technology to dominate global computer industry.In chapter four, I shall research this question: Can (AI) technology change the traditional production of factor model to replace land, labor,capital, knowledge production of factors? I shall indicate a descriptive methodology of system analysis to explain whether (AI)technology is needed on economic progress or not, and whether (AI) technological innovation can raise efficiency and more productivity to all industries or not.Is (AI) the only solution for raising productivity and efficiency, who are losing out in the race is investment in all its forms, in both equipment and people? This analysis will be of interest to all those faced with economic decisions: engineers, managers, scientists and administrators as well as economists need to learn how to use (AI)technology to solve low efficiency and low productivity challenges.
Author: Bob Orchard Publisher: Springer Science & Business Media ISBN: 9783540220077 Category : Computers Languages : en Pages : 1312
Book Description
This book constitutes the refereed proceedings of the 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004, held in Ottawa, Canada, in May 2004. The 129 revised full papers presented were carefully reviewed and selected from 208 submissions. The papers are organized in topical sections on neural networks, bioinformatics, data mining, general applications, autonomous agents, intelligent systems, knowledge processing and NLP, intelligent user interfaces, evolutionary computing, fuzzy logic, human-roboter interaction, computer vision and image processing, machine learning and case-based reasoning, heuristic search, security, Internet applications, planning and scheduling, constraint satisfaction, e-learning, expert systems, applications to design, machine learning, and image processing.
Author: Ann Macintosh Publisher: Springer Science & Business Media ISBN: 1846282241 Category : Computers Languages : en Pages : 223
Book Description
The papers in this volume are the refereed application papers presented at AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2005. The papers present new and innovative developments in the field, divided into sections on Synthesis and Prediction, Scheduling and Search, Diagnosis and Monitoring, Classification and Design, and Analysis and Evaluation. This is the thirteenth volume in the Applications and Innovations series. The series serves as a key reference on the use of AI Technology to enable organisations to solve complex problems and gain significant business benefits. The Technical Stream papers are published as a companion volume under the title Research and Development in Intelligent Systems XXII.
Author: Adam Bohr Publisher: Academic Press ISBN: 0128184396 Category : Computers Languages : en Pages : 385
Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Author: Luis M. Camarinha-Matos
Author: Luis M. Camarinha-Matos
Author: Luis M. Camarinha-Matos
Author: Floriana Esposito
Author: Robbie Allen
Author: Mariya Yao
Author: Johnny Ch LOK
Author: Bob Orchard
Author: Jingyuan Zhao
Author: Ann Macintosh
Author: Adam Bohr