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Author: Ana Cristina Bicharra Garcia
Publisher: Springer Nature
ISBN: 3031224191
Category : Computers
Languages : en
Pages : 422
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Book Description
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.
Author: Ana Cristina Bicharra Garcia
Publisher: Springer Nature
ISBN: 3031224191
Category : Computers
Languages : en
Pages : 422
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Book Description
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.
Author: Hiram Calvo
Publisher: Springer Nature
ISBN: 3031477650
Category : Computers
Languages : en
Pages : 364
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Book Description
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
Author: Tareq Ahram and Redha Taiar
Publisher: AHFE International
ISBN: 1958651443
Category : Technology & Engineering
Languages : en
Pages : 860
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Book Description
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
Author: Luis Fernando Castillo Ossa
Publisher: Springer Nature
ISBN: 3031369572
Category : Technology & Engineering
Languages : en
Pages : 506
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Book Description
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.
Author: Erik Cuevas
Publisher: John Wiley & Sons
ISBN: 139422964X
Category : Computers
Languages : en
Pages : 437
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Book Description
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.
Author: Muhammad E. H. Chowdhury
Publisher: Springer Nature
ISBN: 3031599675
Category :
Languages : en
Pages : 247
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Book Description
Author: Shaliesh S
Publisher: Co-Text Publishers
ISBN: 8195791751
Category : Education
Languages : en
Pages : 86
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Book Description
PUBLISHED BY CO-TEXT PUBLISHERS IN ASSOCIATION WITH DEPARTMENT OF COMPUTER SCIENCE SACRED HEART COLLEGE (AUTONOMOUS) THEVARA, KOCHI-682013, KERALA, INDIA
Author: Jitendra Agrawal
Publisher: Springer Nature
ISBN: 981970037X
Category :
Languages : en
Pages : 617
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Book Description
Author: Sukhpreet Kaur
Publisher: CRC Press
ISBN: 1040260640
Category : Computers
Languages : en
Pages : 580
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Book Description
This book contains the proceedings of the 4TH International Conference on Computational Methods in Science and Technology (ICCMST 2024). The proceedings explores research and innovation in the field of Internet of things, Cloud Computing, Machine Learning, Networks, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, Artificial Intelligence and it provides real time assistance and security for advanced stage learners, researchers and academicians has been presented. This will be a valuable read to researchers, academicians, undergraduate students, postgraduate students, and professionals within the fields of Computer Science, Sustainability and Artificial Intelligence.
Author: Hesham K. Alfares
Publisher: Springer Nature
ISBN: 3031241665
Category : Technology & Engineering
Languages : en
Pages : 292
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Book Description
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.
