Innovations in Computational Intelligence and Computer Vision : Proceedings of ICICV 2025, Volume 1 / edited by Satyabrata Roy, Geeta Rani, Nilanjan Dey, Ester Zumpano.

Format:

Book

Author/Creator:

Roy, Satyabrata.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1699

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Image processing--Digital techniques.

Image processing.

Computer vision.

Signal processing.

Computational Intelligence.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Signal, Speech and Image Processing.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Signal, Speech and Image Processing.

Physical Description:

1 online resource (956 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-09825-4

9783032098252

OCLC:

1581933731