Innovative Computing and Communications : Proceedings of ICICC 2026, Volume 5 / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar.

Format:

Book

Author/Creator:

Hassanien, Aboul Ella.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 2039

Language:

English

Subjects (All):

Telecommunication.

Cooperating objects (Computer systems).

Artificial intelligence.

Communications Engineering, Networks.

Cyber-Physical Systems.

Artificial Intelligence.

Local Subjects:

Communications Engineering, Networks.

Cyber-Physical Systems.

Artificial Intelligence.

Physical Description:

1 online resource (889 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: 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. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Contents:

Converging Generative AI, Multimodal Learning, and Large Language Models: A Pathway Towards Universal Intelligence and Knowledge Creation

Learning Channel-Wise Mix-Gated Attention Fusion in YOLOv11s for Crowd-Aware Person Detection

Development of an application for Soil Quality and Crop Prediction using Machine Learning

A NOVEL APPROACH FOR EMPLOYEE ATTRITION PREDICTION USING QUANTILE ISOLATED TRANSFORMATION WITH FEATURE SELECTION METHOD

Real-Time Cloud Threat Detection and Visualisation System using NLP and MITRE ATT&CK

AI Models in Prenatal and Postnatal Health Care: A Comprehensive Study

Blockchain-Enabled Secure Identity Management with ML-Driven Threat Analytics

Power Quality Analysis of the Electrical System of a Meat Processing Company

Confidence-Edit Lightweight CNN: Self-Editing Mechanism for Robust Learning Under Noisy Labels

Machine Learning Approaches for Financial Fraud Detection: An Empirical Evaluation on an Imbalanced Transaction Dataset

Flower Pollination Algorithm for Optimum Frequency Domain Design of Tuned Mass Dampers for Structures with Different Damping

Generative Adversarial Network Enhanced Imaging for Accurate and Early Detection of Bovine Tuberculosis

Sensitivity Analysis in the Parametric Estimation of the ZIP Load Model: An Approach Based on the Percentage Distribution of its Coefficients

A Novel Deep Learning Framework for Automated Identification and Classification of Indian Bird Species Using Convolutional Neural Networks

A Machine Learning–Based Approach for Eye State Classification Using Multichannel EEG Signals

etc.

Notes:

Print version record.

ISBN:

9783032300058

OCLC:

1610750244