Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2026, Volume 1.

Format:

Book

Author/Creator:

Mishra, Alekha Kumar.

Contributor:

Tripathy, Asis Kumar.

Sahoo, Jyoti Prakash.

Pradhan, Jitesh.

Li, Kuan-Ching.

Series:

Lecture Notes in Networks and Systems Series

Lecture Notes in Networks and Systems Series ; v.1955

Language:

English

Physical Description:

1 online resource (552 pages)

Edition:

1st ed.

Place of Publication:

Cham : Springer, 2026.

Summary:

This book is a collection of peer-reviewed best-selected research papers presented at the Seventh International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2026), organized by Department of Computer Science and Engineering, National Institute of Technology, Jamshedpur, India, during January 15-16, 2026.

Contents:

Lecture Notes in Networks and Systems

Advances in Distributed Computing and Machine Learning

Contents

Hybrid Deep Learning Architectures with Enhanced Pooling Techniques for Predicting Prenatal Depression in Pregnant Women

Quantum Approaches for Next-Gen Security in Content and Data with in Information-Centric Network

Formalizing Consciousness: Integrating AI with Integrated Information Theory (IIT)

Comparative Study of Deep Learning Models for Biometric Based Authentication

Anomaly Detection in Medical Images: A Comparative Study of Self-supervised, Reconstruction and Semi Supervised Generative Models

Integration of Industry Agile Best Practices Activities in Software Development Processes and Proposal for Revised SDLC Model

A Deep Learning System for Early Detection of Banana Leaf Diseases Based on Convolutional Neural Network Models

Enhanced Fraud Prediction in Health Insurance Using Binary Whale Optimization Algorithm and Machine Learning Models

Forensics Text Completion with Transformer-Based Models: Fine Tuning and Retrieval-Augmented Approach

Classification of Keratinized Region in Oral Histopathology Using Hybrid Transformers: Assessing the Impact of Stain Normalization

SaFesTrip: Safe Festive Season Based Trip Recommendation System

A Novel Hyperheuristic for the GTSPs Involving Precise and Imprecise Costs

Integrating Evolutionary Intelligence Technique for Ground-Breaking Diagnostics Prediction of Breast Cancer

Emerging Trends Patent Data Analysis Using Latent Dirichlet Allocation

Low-Resource Neural Machine Translation for English-Hindi: A Transformer and Transfer Learning Perspective

AI-Driven Predictive Models for Cardiovascular Risk Assessment

Blockchain and Cybersecurity in Financial Services: Strategic Opportunities and Risks for Managers.

C-Sbox: A Hardware-Efficient Construction for Strengthening Non-linear Layers

Secure Autonomous Vehicle CAN Bus Communication

Malware Detection in Images Using CNN

Next-Gen NLP for Keyphrase Extraction from Online Social Data: A Systematic Review

CNN-Based Early-Stage Lung Cancer Prediction with Grad-CAM Visualization for Clinically Actionable Predictive Modeling

A Transformer-Based Framework for Glaucoma Screening with Composite Preprocessing Techniques

Enhancing Healthcare Through Automated Prescription Recognition Using OCR

AlzNET: An Alzheimer Classification Network Using Action Identification

Real - Time Indian Sign Language Translation System Using YOLOv8n for Mobile Implementation

Automatic Image Captioning Framework Using a Fine-Tuned and Optimized BLIP Transformer Model

Fuzzy Bayesian Inference in Uncertain Multivariate Analysis

Predictive Modeling of Railway Delay Using Machine Learning Techniques

Author Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783032250803

OCLC:

1610750260