Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough: Volume 4: Studies in Computational Intelligence, cartea 1117
Editat de Vinit Kumar Gunjan, Jacek M. Zurada, Ninni Singhen Limba Engleză Hardback – 14 ian 2024
This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development.
Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
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Specificații
ISBN-13: 9783031430084
ISBN-10: 3031430085
Pagini: 342
Ilustrații: VII, 342 p. 244 illus., 171 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.75 kg
Ediția:1st ed. 2024
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3031430085
Pagini: 342
Ilustrații: VII, 342 p. 244 illus., 171 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.75 kg
Ediția:1st ed. 2024
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products.- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educational institutions.- An enhanced Woelfel Image Noise Filter.- PAPR and SER Performance Analysis of OFDMA and SCFDMA.- VLSI Implementation of an 8051 Microcontroller using VHDL and Re- corrective Measure using AI.- A survey of Internet of Things frameworks for crowd management system.
Textul de pe ultima copertă
This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development.
Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
Caracteristici
Provides a systematic and comprehensive overview of AI and machine learning Contains the contents on recent trends and approaches of Machine Learning and Cognitive Science Presents methods and technologies of Cognitive Science important for practical solutions