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Buch, Englisch, 481 Seiten, Format (B × H): 155 mm x 235 mm
Selected Papers of ICIDA 2025, Volume 2
Buch, Englisch, 481 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-27844-9
Verlag: Springer
This book presents a curated collection of peer-reviewed research papers from the 4th International Conference on Innovations in Data Analytics (ICIDA 2025), held at Eminent College of Management & Technology (ECMT), India, in collaboration with the International Knowledge Research Foundation, on 5–6 December 2025. The conference served as a dynamic platform for academicians, researchers, and industry professionals to exchange ideas and showcase advancements in the rapidly evolving domains of data analytics and intelligent systems.
In today’s data-driven world, the integration of Data Mining, Machine Learning, and Information Security has become essential for extracting meaningful insights and ensuring the protection of sensitive information. This book highlights cutting-edge research that addresses contemporary challenges in handling large-scale data, developing intelligent computational models, and securing digital infrastructures.
This book encompasses a wide spectrum of topics, including Artificial Intelligence, Data Analytics, Internet of Things (IoT), Information Security, and emerging trends in computing and communication technologies. The book reflects both theoretical innovations and practical applications, offering valuable insights for researchers, practitioners, and students alike.
By bringing together high-quality work from diverse domains, this book aims to foster interdisciplinary research and contribute to the advancement of knowledge in data analytics and its allied fields.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Detection of Geological disorder due to Land Movement Through Image Processing using Machine Learning.- Bioinformatics for Precision Medicine Analysis to medical leeches using Artificial Intelligence.- Machine Learning in Protein Secondary Structure Prediction: A Review on Model Innovations and Labeling Accuracy.- Computational Insights into Protein Tertiary Architecture: A Review of Data-Driven Prediction Methods.- A Comprehensive Review on Parkinson’s Detection Using Deep Learning and Machine Learning Approaches Across Multiple Modalities.- Enhancing the Integrity of Online Information through Robust Detection and Authentication of Deepfakes and Synthetic Media.- AI-Enhanced Gesture Recognition System for Virtual Smart Boards.- Deepfake Detection Technique for Images based on quantum computing.- Self-Supervised Vision Transformers for Real-Time Object Tracking in Autonomous Vehicles.- A Statistical Analytical Review of EEG-Based Epileptic Seizure Detection: An Empirical Study of Modern Computational Techniques.




