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Emerging Trends and Applications in Artificial Intelligence: Selected Papers from the International Conference on Emerging Trends and Applications in

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Emerging Trends and Applications in Artificial Intelligence: Selected Papers from the International Conference on Emerging Trends and Applications in Emerging Trends and Applications in Artificial Intelligence: Selected Papers from the International Conference on Emerging Trends and Applications in

出版社:Springer
出版日期:2024-04-30
語言:英文   規格:精裝 / 普通級/ 初版
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圖書名稱:Emerging Trends and Applications in Artificial Intelligence: Selected Papers from the International Conference on Emerging Trends and Applications in

內容簡介

The book covers the proceedings of the International Conference on Emerging Trends and Applications in Artificial Intelligence (ICETAI) held at Istanbul Medipol University, Turkey, on 24 - 25 August 2023. It presents a comprehensive compilation of papers covering the forefront of artificial intelligence, encapsulating state-of-the-art models, innovative methodologies applied to benchmark datasets, and incisive analyses addressing contemporary challenges. Encompassing four pivotal tracks--Artificial Intelligence and Machine Learning, Big Data and Cloud Computing, Internet of Things and Sensor Technology, and Applications of Artificial Intelligence--this volume serves as a vital resource for researchers, scholars, and professionals navigating the multifaceted landscape of AI advancements and their real-world applications across diverse domains.

 

作者簡介

Fausto Pedro GARCIA MARQUEZ Fausto works at UCLM as Full Professor (Accredited as Full Professor from 2013), Spain, Honorary Senior Research Fellow at Birmingham University, UK, Visiting Professor at Shenyang University, China, Lecturer at the Postgraduate European Institute, Research Fellow at INTI International University&Colleges, Malaysia, and he has been Senior Manager in Accenture (2013-2014). He obtained his European PhD with maximum distinction. He has been distinguished with the prices: Runner Prize (2023), Nominate Prize (2022), Gran Maestre (2022), Grand Prize (2021), Runner Prize (2020) and Advancement Prize (2018), Runner (2015), Advancement (2013) and Silver (2012) by the International Society of Management Science and Engineering Management (ICMSEM), First International Business Ideas Competition 2017 Award (2017), etc. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, and Data Science.

Dr. Akhtar Jamil is an Associate Professor in the Department of Computer Science at the National University of Computer and Emerging Sciences, Islamabad, Pakistan. Before joining FAST, he served as Assistant Professor and Vice Head of the Computer Engineering Department at Istanbul Sabahattin Zaim University, Istanbul, Turkey. He also served as a Lecture at COMSATS University Islamabad. He has also worked in the industry as a developer for several years. He received his Ph.D. in Machine Learning and Remote Sensing from Yildiz Technical University, Istanbul, Turkey. He focuses on applied research for solving real-world problems. His current research interests include statistical machine learning, deep learning, pattern recognition, Data Analytics, image classification, and remote sensing

Alaa Ali Hameed received his Master’s degree in computer engineering from Eastern Mediterranean University, North Cyprus, in 2012, and his Ph.D. degree from the department of computer engineering at Selcuk University, Turkey, in 2017. He worked as an Assistant Professor in the Department of Computer Engineering, at Istanbul Aydin University, Turkey, from 2017-2019. He then moved to Istanbul Sabahattin Zaim University, Turkey, where he worked as an Assistant Professor in the Department of Computer Engineering from 2019-2022. Currently, he is an Assistant Professor in the Department of Computer Engineering at Istinye University, Turkey. His research interests include Digital Signal and Image Processing, Adaptive Filters, Adaptive Computing, Data Mining, Machine, and Deep Learning, Big Data and Data Analytics, Neural Networks and Self-Learning Systems, and Artificial Intelligence.

Isaac SEGOVIA RAMIREZ Industrial Engineer at ETSII of the University of Castilla-La Mancha, Ciudad Real (2015) and Master of Industrial Engineering at ETSII of the University of Castilla-La Mancha, Ciudad Real (2019). Associate professor of electronic courses in 2019-2020 in ETSII of the University of Castilla-La Mancha, Ciudad Real. Current PhD student, he collaborates in several national and European projects. Winner of the international contest "Entrepreneurship 5+5" in Tunisia. He has been awarded with the "Advancement Prize for Management Science and Engineering Management with the Nominated Prize (2018)" for the article "Remotely Piloted Aircraft System and Engineering Management: A Real Case Study". His main research interests are related to Maintenance Management, UAVs, Renewable Energy, detection of elements in surface by infrared radiation etc.

 

詳細資料

  • ISBN:9783031567278
  • 規格:精裝 / 普通級 / 初版
  • 出版地:美國
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