Advanced Computing and Communications: Responsible AI
Description
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.
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Content
.- 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.
