Innovations in Data Analytics : Selected Papers of ICIDA 2025, Volume 1 (Lecture Notes in Networks and Systems)

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Innovations in Data Analytics : Selected Papers of ICIDA 2025, Volume 1 (Lecture Notes in Networks and Systems)

Bhattacharya, Abhishek (EDT)/ Dutta, Soumi (EDT)/ Yang, Xin-She (EDT)

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Springer, Berlin; Springer（2026/06発売）
外貨定価 EUR 267.49
ポイント 681pt

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商品コード 9783032277107

Full Description

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. This 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.

Advancements in Artificial Intelligence for Predicting Mental Disorders.- Multi‑Objective PSO for Joint Optimization of Architecture And Spectral‑Spatial Filters in CNN For Crop Classification using Hyperspectral Imagery.- Analyzing college students Anxiety using GAD-7 Scale: A Deep Learning- based Predictive Model with demographic and digital behaviors factors.- AI-Based Optimization Techniques for Sustainable CNC Machining in the Era of Industry 4.0.- Autonomous Spraying Systems for Selective Fertilization Using Deep Learning Vision Models.- Affective Computing Deep Learning Framework: Emotion Recognition and Music Suggestion via Convolutional Neural Network.- Quantum Computing for Efficient Candidate Selection in India: Integrating Demographic Clustering and Voter Analytics.- Intelligent Brain-Computer Interfaces for Cognitive Healthcare.- Bio-Inspired Evolutionary AI with Hybrid Water Wheel Plant and Deep Reinforcement Learning for Energy-Efficient Cloud Task Scheduling.- Advancing Crop Protection with Nanotechnology: Current Trends and Future Prospects.