Full Description
This two-volume set CCIS 2405 -2406 constitutes the refereed proceedings of the Third International Conference on Advanced Communication and Intelligent Systems, ICACIS 2024, held in New Delhi, India, during May 16-17, 2024.
The 61 papers included in these volumes were carefully reviewed and selected from 1046 submissions. They are organized into the following topical sections:
Part I: Artificial Intelligence/Machine Learning; and Data Science.
Part II: Communication & Networks; and Robotics and Intelligent Systems.
Contents
.- Fortifying Cloud Security: Insights from Blockchain Integration Studies.
.- AES-Based Encryption for Confidential Data Protection in Pager System.
.- Blockchain Solution for Enhancing Supply Chain Integrity through Decentralized Ledger for Forest Product.
.- Performance Evaluation of DTN Routing Protocols on Trace-Based Mobility Models with Energy Efficiency.
.- Intelligent Hybrid Steganography Optimization Algorithm.
.- VIRTUAL ASSISTANT TO ANSWER UNIVERSITY RELATED QUERIES USING NLP.
.- Real-Time Cotton Crop Pest Identification and Classification using Transfer Learning.
.- DEEPFAKE FORENSICS: UTILIZING DEEP LEARNING FOR GENERATION AND DETECTION.
.- Creating The Hyperspectral Image Using The MLNMF Method To Form A Data Cube With Eight Frequencies.
.- Accurate Object Detection for an Intelligent Self-Driving Car System for Mountainous Terrains.
.- Promoting information privacy protection awareness for employees working remotely at home.
.- Electrifying the Future: Navigating the Technological and Environmental Landscape of Electric Vehicles.
.- Vision-based Discrete ASL Number Recognition.
.- TF-IDF vs. Word Embeddings for Text Classification in Indian Languages.
.- Med-Ezy: A User-Friendly Medication Management Solution with Reliable Dispensing.
.- Blockchain-enabled Multicurrency Supported Distributed e-Banking System.
.- A Transfer Learning-Based CNN Approach for Accident Detection System.
.- Resource Extraction Safety and Efficiency with Integrated Chipless RFID and Aerial Technology.
.- Cloud resource usage forecasting using a deep learning-based predictive framework.
.- Enhanced Siamese Network for Donor-Recipient Pair Matching with Emphasized Feature Interactions in Kidney Transplantation.
.- Implementing Priority based Message Forwarding using Machine Learning in Post Disaster Situation using Delay Tolerant Network.
.- Autoencoder with Diffusion Smoothing to detect Communities in Complex Networks.
.- Graph Attention Network for Maximizing the Influence in Complex Network.
.- Efficient Feature Selection Technique for DDOS Detection in IoT Environment.
.- A CNN Based Approach to Classify Cervical Cancer using Transfer Learning.
.- Enhance the Efficiency of Feature Selection for predicting Lobular carcinoma and Ductal carcinoma.
