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Emerging Trends and Applications in Artificial Intelligence

Fausto Pedro García Márquez
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      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.

      Format: Paperback / softback CONTRIBUTORS: Fausto Pedro García Márquez EAN: 9783031567308 COUNTRY: Switzerland PAGES: 591 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2025-05-01 CITY: GENRE: COMPUTERS / Artificial Intelligence / General WIDTH: 155 mm SPINE:

      Book Themes:

      Artificial intelligence

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      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 earned his Master's degree in computer engineering from Eastern Mediterranean University, North Cyprus, followed by a Ph.D. from Selcuk University, Turkey, and completed a PostDoc at Istanbul University. He has held Assistant Professor positions at Istanbul Aydin University and Istanbul Sabahattin Zaim University before joining Istinye University in the same capacity. He has authored more than 100 technical articles in top international journals and conferences within a short span of time. Additionally, he has served in various capacities such as Conference Chair, Program Chair, and Technical Program Chair member for numerous international conferences. Furthermore, he has acted as a Guest Editor for several SCIE journals and joined many research activities. His research interests encompass Digital Signal/Image Processing, Adaptive Filters, Data Mining, Machine/Deep Learning, Big Data Analytics, Artificial Intelligence.Dr. Isaac SEGOVIA RAMIREZ is PhD in "Ciencias y Tecnologías aplicadas a la Ingeniería Industrial" (UCLM) with a maximum distinction in Ciudad Real, 2023, Industrial Engineer at ETSII of the University of Castilla-La Mancha (UCLM) in Ciudad Real, 2015, and Master of

      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.

      Format: Paperback / softback CONTRIBUTORS: Fausto Pedro García Márquez EAN: 9783031567308 COUNTRY: Switzerland PAGES: 591 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2025-05-01 CITY: GENRE: COMPUTERS / Artificial Intelligence / General WIDTH: 155 mm SPINE:

      Book Themes:

      Artificial intelligence

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      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 earned his Master's degree in computer engineering from Eastern Mediterranean University, North Cyprus, followed by a Ph.D. from Selcuk University, Turkey, and completed a PostDoc at Istanbul University. He has held Assistant Professor positions at Istanbul Aydin University and Istanbul Sabahattin Zaim University before joining Istinye University in the same capacity. He has authored more than 100 technical articles in top international journals and conferences within a short span of time. Additionally, he has served in various capacities such as Conference Chair, Program Chair, and Technical Program Chair member for numerous international conferences. Furthermore, he has acted as a Guest Editor for several SCIE journals and joined many research activities. His research interests encompass Digital Signal/Image Processing, Adaptive Filters, Data Mining, Machine/Deep Learning, Big Data Analytics, Artificial Intelligence.Dr. Isaac SEGOVIA RAMIREZ is PhD in "Ciencias y Tecnologías aplicadas a la Ingeniería Industrial" (UCLM) with a maximum distinction in Ciudad Real, 2023, Industrial Engineer at ETSII of the University of Castilla-La Mancha (UCLM) in Ciudad Real, 2015, and Master of

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