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This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC-2024), held on November 29 30, 2024, at Hyderabad in 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, and research students working in the area of cognitive and intelligent computing.
Sommario
Enhancing Image Quality through Hybrid SparseDeepRain Net: Integrating Convolutional Sparse Coding and Deep Image Prior.- An Android based Food Wastage Reduction Application.- Abstractive Text Summarization of Kannada using CNN LSTM.- Smart Spend: AI based Expense Checker.- SafeRide AI: Enhanced Urban Commuter Safety.- Pulmonary Disease Detection Using Deep Learning.- Deep Learning and OCT Imaging A Novel Ensemble Approach for Eye Disease Diagnosis.- Fault-Tolerant Task Scheduling Using Machine Learning Approaches in Fog Computing A Comprehensive Review.- Student Trade Hub A Comprehensive Platform for Exchange, Learning, and Community Connection.- Deep Learning Method with Capsule Network for Brain Tumor Identification.- Forecasting Stock Markets Using Artificial Intelligence for Effective Financial Decision Making.- A Framework for Cloud storage data security using confidentiality-based Data classification.- An Innovative Approach for Stock Market Analysis Samriddhi Sanket.- An Automatic Electricity Billing System using Internet of Things.- An Intelligent Water Dispenser for smart Life using Internet of Things.- Transforming Agriculture in Solipur Village The Impact of AI, ML, and IoT.- Intelligent Navigation System for Mapping both Unknown Indoor and Outdoor Environments.- Time optimal flatness-based vibration suppression trajectory planning for overhead cranes.- Multimodal Emotion Aware Neural Networks for Early Diagnosis of Mental Health Disorders.
Info autore
Dr. Amit Kumar is Forensic Scientist, Entrepreneur, Engineer, Bioinformatician, and IEEE Volunteer. In 2005, he founded the first private DNA testing company, BioAxis DNA Research Centre, in Hyderabad, India, with an American partner. He has vast experience of training 1000+ crime investigation officers and has helped process 750+ criminal and non-criminal cases by offering analytical services. He is Senior Member of the IEEE, has been Vice Chairman of the IEEE India Council and Chairman of IEEE Hyderabad Section. Amit was awarded IEEE MGA Achievement award and IEEE India Council Outstanding volunteer award in 2020. He was Visiting Professor at SJB Research Foundation and Current Chairman of IEEE Region 10 Section Chapter Committee.
Dr. Gheorghita Ghinea is Professor in the Computer Science Department at Brunel University, UK. He received the B.Sc. and B.Sc. (Hons) degrees in Computer Science and Mathematics, in 1993 and 1994, respectively, and the M.Sc. degree in Computer Science, in 1996, from the University of the Witwatersrand, Johannesburg, South Africa; he then received the Ph.D. degree in Computer Science from the University of Reading, UK, in 2000. His work focuses on building adaptable cross-layer end-to-end communication systems incorporating user perceptual requirements. His work has been funded by both national and international funding bodies—all of it being collaborative work with other teams and stakeholders he has been privileged to be involved with. He has been honored to supervise 24 Ph.D. students to completion and to have published over 300 high-quality research articles with them and other research collaborators. He is Member of the IEEE and the British Computer Society.
Dr. Suresh Merugu received his Ph.D. from the Indian Institute of Technology (IIT) Roorkee. He has four years of research experience in the fields of advanced digital image processing, colorimetry, computer vision, sub-pixel classification, data mining techniques, and space sciences. He has been Associate Professor at CMR College of Engineering and Technology, Hyderabad, since 2007.
Riassunto
This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC-2024), held on November 29–30, 2024, at Hyderabad in 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, and research students working in the area of cognitive and intelligent computing.
