Innovations in Computational Intelligence and Computer Vision : Proceedings of ICICV 2025, Volume 1 (Lecture Notes in Networks and Systems)

Roy, Satyabrata (EDT)/ Rani, Geeta (EDT)/ Dey, Nilanjan (EDT)

Springer Nature Switzerland AG（2026/02発売）

• 製本 Paperback:紙装版/ペーパーバック版
• 言語 ENG
• 商品コード 9783032098245

Full Description

This book presents a selection of high-quality research papers accepted for presentation at the Fifth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2025). The conference was jointly organized by the Department of IoT and Intelligent Systems, Manipal University Jaipur, India, in collaboration with CNR-Nanotec at the University of Calabria, Italy, and Hansraj College, University of Delhi, India, and was held from June 04 to 06, 2025. ICICV 2025 was conducted in hybrid mode, with in-person sessions hosted at CNR-Nanotec, University of Calabria, Italy, and virtual sessions facilitated by Manipal University Jaipur and Hansraj College, University of Delhi.

Contents

Neuro-Symbolic AI and Quantum-Inspired Adaptive System for Real-Time Pain Management Using Federated Biofeedback-Driven AR/VR Therapy.- Enhanced Visual-NLP Systems Using Knowledge Graphs, Meta-Learning, and Adaptive Attention Networks.- Lightweight Architecture for Fruit Quality Estimation in the Infrared Domain.- Development of an automated edge-detection tool for robust cell biology assays.- Machine Learning-based Urban Nightime Light Intensity Analysis in Sri Lanka Using VIIRS Images.- AI Meets Agriculture: Cultivating a Sustainable Future.-Decision Support System for Neonatal Jaundice Detection Leveraging YOLO Object Detection Model.- Real-Time Posture Assessment for Yoga using Computer Vision.- Enhanced Brain Tumor Detection Using CNN-Based Image Classification: A Deep Learning Approach.- Brand Perception Improvement using Customer Feedback Analysis with NLP Techniques.- Utilizing Data Augmentation to Enhance Handwritten Kaithi Character Recognition.- Edge Vision Agents: Democratizing Computer Vision with LLMs.- AI-Driven Breast Cancer Detection: Advancements in Transfer Learning and Hybrid CNN Models.- APP-Net: An Attention Pyramid Pooling-Based Deep Learning Framework for Nail Disease Classification Using Normal Finger Photos.- ADMET Properties Prediction Using Advanced Graph Neural Networks.- Real- Time Motion Tracking and Exercise Pose Correction using Media Pipe.- Image Encryption using Elementary Cellular Automata Rule Vectors: A Secure Approach to Image Transmission for IoT Applications.- Crime Prediction and Forecasting in India using Hybrid Machine Learning and Deep Learning Techniques.- CycleGAN-Based Adversarial Learning for Enhanced Steganographic Image Detection.- Vocal2Instrument: Instrumental Sound Synthesis from Vocals using a Hybrid Digital Signal Processing-Convolutional Neural Network Architecture.- Next-Generation Glacier Monitoring: Leveraging Cloud Computing for Climate Insights.- Deep Fake News Detection: A Comparative Analysis.- Breast Carcinoma Diagnosis using Parametric Optimization with Soft Computing Techniques.- Towards Explainable Ethnicity Altered Synthetic Images.- An Efficient Image Encryption Method Using the Combination of Logistic Map and Fibonacci Q Matrix.- Advancing Early Detection of Suicidal Thoughts through Multi-Modal Analysis.- Performance Analysis of Cosine Shared Link Method on Small and Medium Sized Networks.- Critical Analysis of Synchronization Detection in Stereo Frame Processing.- Investigating Oversampling for Improved Text-Based Depression Detection.- Dynamic Density-Based Clustering for IoT Botnet Attack Detection Using DD-OPTICS.