This book constitutes the refereed proceedings of the 29th International Conference on Advanced Computing and Communications, ADCOM 2024, held in Bangalore, India, during December 18–20, 2024. The 21 full papers and 9 short papers presented here were thoroughly reviewed and selected from 79 submissions. These papers focus on the recent research trends and developments in the field of Computational and Communications engineering.

Table of Contents:
.- Emerging approaches towards Responsible Autonomy. .- VRSIL: A Framework for Video Recommendation Integrating Semantic Intelligence with a Large Language Model. .- Detection and Categorization of DNS over HTTPS Traffic using Lightweight Feature Selection Methods and Ensemble Classification Model. .- Improving Machine Learning Models with Hybrid Metaheuristic Algorithm for Software Defect Prediction. .- Multi-Weighted Bi-partite Graph based Hybrid Matchmaking Mechanism for Ranking. .- A Prompt-Based Transfer Learning System for Text Classification. .- Optimized ANFIS Model to predict air pollutant index of Mumbai. .- A Comprehensive Analysis of Classification Techniques for Effective Multi-Class Research Article Categorization on an Imbalanced Dataset. .- Leveraging DNS Traffic Analysis for Threat Detection using Explainable AI. .- Self-Supervised Multimodal Stance Detection with BERT and ResNet. .- Improving Model performance and Explainability of Attention-Based CNN Models on Health Image Datasets Using Grad-CAM. .- Transformer-powered Legal Jargon Simplification: An OCR-based LLM Approach for Indian Law and Justice. .- Disaster Classification Using Multimodality Techniques by Integrating Images and Text. .- English Text to Indian Sign Language Translator using SIGNIFY Algorithm. .- Transforming Legal Assistance: A Chatbot-Driven Analysis of India’s Legislative Reforms. .- KMSR: A Semantics Infused Framework for Knowledge Map Generation for Radio-physics as a Strategic Domain. .- Deep Learning for Suicide Risk Detection in Reddit Posts. .- Explaining LLM Decisions: Counterfactual Chain-of-Thought Approach. .- Elevating Privacy: A Differential Privacy Infused Approach to GAN for Robust Data Synthesis for Deep Learning Models. .- TransLeakGAN: A Transformer-based Framework for Enhanced Long Text Generation. .- Finding Maximum Independent Sets using ACO GA Algorithm. .- Comprehensive Review of End-to-End Dependency Parsing with Auto-regressive Large Language Models. .- Enhancing Intrusion Detection Through Adaptive Genetic Algorithm with Crowding Distance Selection for Optimized Feature Selection from Network Traffic Data .- Novel concepts in Arrhythmia Detection : Hybrid DL Models Integrated with Farmland Fertility Algo for ECG Signal Segregation. .- SOT-MRAM Devices in Memory Hierarchy for Next-Generation Computing Systems. .- Fusion Framework Approach for Enhanced Elderly Fall Detection . .- Optimization-driven sensory data analytics and applications. .- Migration and Replacement in Main Memory and Cache in Hybrid Memory Systems. .- Can Explainable AI Build Trust in the Financial Domain: Study of an Explainable AI model for Bankruptcy Prediction. .- Rectifying Whole Brain Segmentation Errors Using a Novel Under-Segmentation Correction Method.