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ICDSMLA 2020 by Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan Pdf
This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Track and Trace Management System for Dementia and Intellectual Disabilities by Suresh Merugu,Amit Kumar,George Ghinea Pdf
This book reviews humanitarian literature and presents the development of low-cost track & trace management system integrated with accurate GPS location data pinging using Internet of Things (IoT). The first part relates to mobile device configuration with an embedded GPS and wireless Internet connection to transmit its current location. The second part presents web server implementation and development that receives the data, parses it, and stores it for access over the Internet. The third part discusses the user interface that allows one to visually identify the current location of the device.
Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications by Amit Kumar,Vinit Kumar Gunjan,Yu-Chen Hu,Sabrina Senatore Pdf
This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough by Vinit Kumar Gunjan,Jacek M. Zurada,Ninni Singh Pdf
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. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. 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.
Modern Approaches in IoT and Machine Learning for Cyber Security by Vinit Kumar Gunjan,Mohd Dilshad Ansari,Mohammed Usman,ThiDieuLinh Nguyen Pdf
This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.
Advanced Computing by Deepak Garg,V. A. Narayana,P. N. Suganthan,Jaume Anguera,Vijaya Kumar Koppula,Suneet Kumar Gupta Pdf
This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries.
Cybernetics, Cognition and Machine Learning Applications by Vinit Kumar Gunjan,P. N. Suganthan,Jan Haase,Amit Kumar Pdf
This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.
Advances in Computational Intelligence. MICAI 2023 International Workshops by Hiram Calvo,Lourdes Martínez-Villaseñor,Hiram Ponce,Ramón Zatarain Cabada,Martín Montes Rivera,Efrén Mezura-Montes Pdf
This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions. The proceedings of MICAI 2023 workshops are structured into three sections: – WILE 2023: 16th Workshop on Intelligent Learning Environments – HIS 2023: 16th Workshop of Hybrid Intelligent Systems – CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications
Proceedings of the International Conference on Cognitive and Intelligent Computing by Amit Kumar,Gheorghita Ghinea,Suresh Merugu,Takako Hashimoto Pdf
This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.
Computational Collective Intelligence by Ngoc Thanh Nguyen,János Botzheim,László Gulyás,Manuel Núñez,Jan Treur,Gottfried Vossen,Adrianna Kozierkiewicz Pdf
This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023. The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; cybersecurity, blockchain technology and Internet of Things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for Industry 4.0; computational intelligence in medical applications; and ensemble models and data fusion.
Machine Learning and Big Data Analytics by Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra Pdf
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.
Proceedings of Data Analytics and Management by Abhishek Swaroop,Zdzislaw Polkowski,Sérgio Duarte Correia,Bal Virdee Pdf
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
Ambient Intelligence in Health Care by Tripti Swarnkar,Srikanta Patnaik,Pabitra Mitra,Sanjay Misra,Manohar Mishra Pdf
The book is a collection of research papers presented at the First International Conference on International Conference on Ambient Intelligence in Health Care (ICAIHC 2021) organized by Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University) University, Bhubaneswar, India, during April 15–16, 2022. It includes papers in the research area of e-health care, telemedicine, other medical technologies, life support systems, fast detection and diagnoses, developed technologies and innovative solutions, bioinformatics, and solutions for monitoring smart intelligent systems in health care.
Agroecological Approaches for Sustainable Soil Management by Majeti Narasimha Vara Prasad,Chitranjan Kumar Pdf
Agroecological Approaches for Sustainable Soil Management Enables readers to strengthen existing agricultural strategies to sustainably solve contemporary problems like food supply chain gaps and food scarcity Agroecological Approaches for Sustainable Soil Management explains strategies to check the deterioration of soil quality, irrigation water quality, reuse of wastewaters in agriculture after treatment, organic fertigation, and corporate fertigation, to transform current agriculture into sustainable agriculture, and demonstrates cost effective technologies for sustainable development of site-specific ecosystems. Techniques to eradicate malnutrition, such as enhanced biofortification, are also covered. Sample topics covered in Agroecological Approaches for Sustainable Soil Management include: Foremost developments in the restoration and utilization of degraded lands through organic farming, precision agriculture, climate-resilient fodder/forage cultivation, and livestock management Promotion of agro-forestry-based apiculture, silviculture, and sericulture, and corporate fertigation, and reclaiming urban brownfields and industrial areas Development of diverse products, including biofuel, fiber, fodder, timber, and herbal products leading to the generation of social capitals Ecology of intercropping systems, tree-cover dynamics of grazing lands, and cover crops for soil management Agroecological Approaches for Sustainable Soil Management is a comprehensive and authoritative resource on the subject, making it a must-have resource for scientists working in agrobiodiversity, agroecology, bioscience, restoration ecology, soil science, and sustainable science, along with postgraduate students in ecology, environmental sciences, and environmental economics.