Innovative Computing and Communications : Proceedings of ICICC 2026, Volume 8.

Format:

Book

Author/Creator:

Hassanien, Aboul Ella.

Series:

Lecture Notes in Networks and Systems Series

Lecture Notes in Networks and Systems Series ; v.2045

Language:

English

Physical Description:

1 online resource (921 pages)

Edition:

1st ed.

Place of Publication:

Cham : Springer, 2026.

Summary:

This book includes high-quality research papers presented at the Ninth International Conference on Innovative Computing and Communication (ICICC 2026), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 6-7 February 2026.

Contents:

Lecture Notes in Networks and Systems

Innovative Computing and Communications

Preface

ICICC-2026 Steering Committee Members

Contents

About the Editors

Enhanced Visual Cervical Spine Fractures Using Deep Learning and Grad-CAM

Optimization of IT Infrastructure Solutions Using Genetic Algorithms

Enhanced Diagnostics for Liver Disease via Retinal Imaging and CNN-Based AI

State-of-the-Art Boosting Ensembles for Non-performing Asset Recovery in Post-Crisis Banking

An Analysis of the Darknet: Operational Tools, Navigation Approaches, and Protective Protocols

Optimization of Software Fault Prediction Accuracy via Metaheuristic Feature Selection Approaches

An Elongated Analysis of Indian Private Banks

Explainable AI for Financial Fraud Detection: Balancing Model Transparency and Predictive Performance

MRI-Based Brain Tumor Detection Using Machine Learning

A Lightwеight GRU-Fеdеratеd Lеarning Architеcturе fοr High-Accuracy and Privacy-Prеsеrving ЕCG Classificatiοn

Blockchain Technology for Secure Electronic Voting: Characteristics, Challenges, and the Indian Perspective

A Real-Time Deep Learning Framework for Sign Language Gesture Recognition Using Skeleton-Based Hand Landmark Modeling

Comparative Analysis of Machine Learning Models for Predicting Bond Strength Between FRP Bars and UHPC/UHPSSC

Exploring the Rise of Fintech Among Young Consumers and Its Intersection with Indian Regulatory Laws

Transformers Outperform NLP and ML in Predicting ADHD, ASD, OCD: A Systematic Review

Teaching Diagnosis, Feedback and Continuous Improvement Mechanism Construction of Multimodal Data Fusion and Intelligent Analysis Technology in College English Smart Classroom

AI-Assisted Social Media Public Opinion Monitoring and Crisis Communication Management.

Blockchain Driven Security Architecture for Deep Learning Based Fake News Detection

Advancements in QA and QAG: A Comprehensive Review of Methodologies

A Comparison of Machine Learning Models in Credit Card Fraud Detection

Deep Residual Learning for Brain Tumor Classification: Performance Insights from ResNet Variants

Analyzing and Reviewing Different Deep Learning Approaches for Stock Market Prediction

Multimodal Machine Learning Framework for Objective Parasomnia Diagnosis and Classification

A Hybrid Self-supervised Learning Framework for Missing Data Imputation in Cloud-Based Data Mining Systems

Multilingual RAG-Based Educational System with Active Learning: A Real-Time Approach to Personalized Education

A New AI Framework for Malaria Detection Using Landing AI and MATLAB

A Comparative Study of Meta-Heuristic Optimization Techniques for Fine-Tuning Gradient Boosting Models in LoRa Applications

Deep Learning Based Detection and Classification of Plant Diseases from Leaf Images

Comprehensive Study on Shape Based Machine Learning Approaches for Visual Recognition System

AI-Powered Retinal Image Analysis for Automated Diabetic Retinopathy Grading

Deep Learning-Based CNN Model for Automated Detection of Pneumonia from Chest X-Ray Images

Survey and Analysis of Large Language Models Utilized for Analyzing Unstructured Electronic Health Records

A Survey and Analysis of Deep Learning Approaches for Chronic Pulmonary Disease Detection Through Respiratory Sound Feature Analysis

AI-Driven Retinal Image Analysis for the Preemptive Diagnosis of Chronic Systemic Diseases

A Comparative Analysis of Deep Learning Weight/Kernel Initialization and Optimization Techniques on Traffic Sign Classification Performance.

(Session Name:SS_17 Applied Image Processing: Current Applications and Emerging Challenges) Deep Learning with Visual Interpretation for Breast Cancer Classification

Attention Optimized Efficient-Net for Comprehensive Local Fruit Varieties Classification

An Advanced Deep Learning Framework for Cyclone Early Warning Using Multi-temporal Satellite Imagery

Adaptive Resource Allocation in Multi-cloud Environments Using Multi Objective Reinforcement Learning

Machine Learning Methods for Breast Cancer Detection from Gene Expression Data

Machine Learning-Driven Low-Cost Sensor-Based Human Activity Recognition for Affordable Patient Monitoring

Implementation of an AutoML Framework for Predictive Maintenance in Industrial IoT Systems

NewsMania: A Centralized News Aggregation Platform

A Weighted Soft-Voting Ensemble Model for Reliable Intrusion Detection in Cloud Environments

Medical Diagnosis and Imaging Scanning Using YoloV8: A Review

Prompt Injection Detection via Attention Tracking: A Comparative Evaluation

Intelligent System for Disease Detection and HealthCare Consultation

Automated Topology Reconstruction and Visualization for OpenRAN-Based 5G Networks

Explainable SLM-Guided Vision-Language Model for Multi-class Skin Lesion Recognition

Reinforcement Learning Approaches for Personalized Treatment Recommendations in Chronic Disease Management

Author Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783032303103

OCLC:

1603126761