Advances in Artificial Intelligence – IBERAMIA 2022
Advances in Artificial Intelligence – IBERAMIA 2022

Author: Ana Cristina Bicharra Garcia

Publisher: Springer Nature

Published: 2023-01-03

Total Pages: 422

ISBN-13: 3031224191

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This book constitutes the refereed proceedings of the 17th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2022, held in Cartagena de Indias, Colombia, in November 2022. The 33 full and 4 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: applications of AI; ethics and smart city; green and sustainable AI; machine learning; natural language processing; robotics and computer vision; simulation and forecasting.

Advances in Computational Intelligence
Advances in Computational Intelligence

Author: Hiram Calvo

Publisher: Springer Nature

Published: 2023-12-10

Total Pages: 363

ISBN-13: 3031477650

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The two-volume set LNAI 14391 and 14392 constitutes the proceedings of the 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, held in Yucatán, Mexico, in November 2023. The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions. The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections: – Machine Learning – Computer Vision and Image Processing – Intelligent Systems The second volume, Advances in Soft Computing, contains 25 papers structured into three sections: – Natural Language Processing – Bioinformatics and Medical Applications – Robotics and Applications

Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications
Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications

Author: Tareq Ahram and Redha Taiar

Publisher: AHFE International

Published: 2022-07-24

Total Pages: 860

ISBN-13: 1958651443

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Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications Proceedings of the 8th International Conference on Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications, August 22–24, 2022, Nice, France

Robotics, Computer Vision and Intelligent Systems
Robotics, Computer Vision and Intelligent Systems

Author: Péter Galambos

Publisher: Springer Nature

Published: 2022-11-09

Total Pages: 241

ISBN-13: 3031196503

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This volume constitutes the papers of two workshops which were held in conjunctionwith the First International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2020, Virtual Event, in November 4-6, 2020 and Second International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2021, Virtual Event, in October 25-27, 2021. The 11 revised full papers presented in this book were carefully reviewed and selectedfrom 53 submissions.

Trends in Sustainable Smart Cities and Territories
Trends in Sustainable Smart Cities and Territories

Author: Luis Fernando Castillo Ossa

Publisher: Springer Nature

Published: 2023-10-03

Total Pages: 506

ISBN-13: 3031369572

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This book presents the latest scientific and technical advances in the fields of Smart Cities and Smart Territories. It shows outcomes of 2nd Sustainable Smart Cities and Territories International Conference in Manizales (Colombia) on June 21–23, 2023. The concept of smart cities, which emerged in the early 2000s, attempts to solve these challenges by implementing information and communication technologies. The initial concept of smart cities focused on the modernization of megacities.

Applied Optimization in the Petroleum Industry
Applied Optimization in the Petroleum Industry

Author: Hesham K. Alfares

Publisher: Springer Nature

Published: 2023-07-07

Total Pages: 292

ISBN-13: 3031241665

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The book addresses optimization in the petroleum industry from a practical, large-scale-application-oriented point of view. The models and techniques presented help to optimize the limited resources in the industry in order to maximize economic benefits, ensure operational safety, and reduce environmental impact. The book discusses several important real-life applications of optimization in the petroleum industry, ranging from the scheduling of personnel time to the blending of gasoline. It covers a wide spectrum of relevant activities, including drilling, producing, maintenance, and distribution. The text begins with an introductory overview of the petroleum industry and then of optimization models and techniques. The main body of the book details a variety of applications of optimization models and techniques within the petroleum industry. Applied Optimization in the Petroleum Industry helps readers to find effective optimization-based solutions to their own practical problems in a large and important industrial sector, still the main source of the world’s energy and the source of raw materials for a wide variety of industrial and consumer products.

Reliability Models of Complex Systems for Robots and Automation
Reliability Models of Complex Systems for Robots and Automation

Author: Hamed Fazlollahtabar

Publisher: CRC Press

Published: 2017-11-15

Total Pages: 93

ISBN-13: 1351337335

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Availability of a system is a crucial factor for planning and optimization. The concept is more challenging for modern systems such as robots and autonomous systems consisting of a complex configuration of components. As complex systems have become global and essential in today’s society, their reliable design and the determination of their availability have turned into a very important task for managers and engineers. Reliability Models of Complex Systems for Robots and Automation offers different models and approaches for reliability evaluation and optimization of a complex autonomous system. Comprehensive fault tree analysis on the critical components of industrial robots and its integration with the reliability block diagram approach is designed in order to investigate the robot system reliability. The cost and hazard decision tree are integrated for the first time in an approach to evaluate the reliability of a complex system. Considers a complex production system composing of several autonomous robots Develops binary state reliability evaluation model for a complex system Introduces new concepts of hazard decision tree Proposes fault tree and reliability block diagram for complex robotic systems Develops stochastic process based reliability evaluation and optimization models Today’s competitive world with increasing customer demands for highly reliable products makes reliability engineering a more challenging task. Reliability analysis is one of the main tools to ensure agreed delivery deadlines which in turn maintains certainty in real tangible factors such as customer goodwill and company reputation.

Advances in Computational Intelligence
Advances in Computational Intelligence

Author: Obdulia Pichardo Lagunas

Publisher: Springer Nature

Published: 2022-10-22

Total Pages: 402

ISBN-13: 3031194969

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The two-volume set LNAI 13612 and 13613 constitutes the proceedings of the 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, held in Monterrey, Mexico, in October 2022. The total of 63 papers presented in these two volumes was carefully reviewed and selected from 137 submissions. The first volume, Advances in Computational Intelligence, contains 34 papers structured into three sections: Machine and Deep Learning Image Processing and Pattern Recognition Evolutionary and Metaheuristic Algorithms The second volume contains 29 papers structured into two sections: Natural Language Processing Intelligent Applications and Robotics

Intercultural Communication and Ubiquitous Learning in Multimodal English Language Education
Intercultural Communication and Ubiquitous Learning in Multimodal English Language Education

Author: García-Sánchez, Soraya

Publisher: IGI Global

Published: 2022-05-27

Total Pages: 319

ISBN-13: 1799888541

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It has never been more important for schools and instructors to consider best practices and strategies to appropriately design effective English language courses. Teaching English successfully to diverse audiences requires an understanding of how to communicate with students based on their individual needs and backgrounds. In order to ensure schools provide the best English language education possible, they must examine and apply innovative research in the field. Intercultural Communication and Ubiquitous Learning in Multimodal English Language Education reviews and reports the current research methods and theoretical advances in English language learning linked to applied technologies and action research. The book considers the most innovative approaches to English language education from an intercultural and communicative perspective that covers key concepts such as collaborative ubiquitous learning and multimodal communication. Covering topics such as social networks, virtual environments, and intercultural awareness, this reference work is crucial for academicians, researchers, scholars, practitioners, instructors, and students.

Machine Learning and Metaheuristic Computation
Machine Learning and Metaheuristic Computation

Author: Erik Cuevas

Publisher: John Wiley & Sons

Published: 2024-12-24

Total Pages: 437

ISBN-13: 139422964X

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Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches Few areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence, machine learning and metaheuristic computation, have an enormous range of individual and combined applications in computer science and technology. To date, these two complementary paradigms have not always been treated together, despite the potential of a combined approach which maximizes the utility and minimizes the drawbacks of both. Machine Learning and Metaheuristic Computation offers an introduction to both of these approaches and their joint applications. Both a reference text and a course, it is built around the popular Python programming language to maximize utility. It guides the reader gradually from an initial understanding of these crucial methods to an advanced understanding of cutting-edge artificial intelligence tools. The text also provides: Treatment suitable for readers with only basic mathematical training Detailed discussion of topics including dimensionality reduction, clustering methods, differential evolution, and more A rigorous but accessible vision of machine learning algorithms and the most popular approaches of metaheuristic optimization Machine Learning and Metaheuristic Computation is ideal for students, researchers, and professionals looking to combine these vital methods to solve problems in optimization approaches.