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.
Table of Contents:
.- Enhancing Classification of Leukemia Diagnosis with Transfer Learning Models.
.- Automatic Sleep Apnea Detection system using ECG Signals.
.- AI-Enhanced State-of-the-Art Techniques for Land Cover Classification Using Optical and Synthetic Aperture Radar Data Fusion.
.- Comparative analysis of Advancements in Precision Farming using AI and Deep Learning.
.- Integrating AI with Random Forest Regression and SGD Classifier Algorithm in Medical Diagnosis and Medicament.
.- A Deep Learning Model with Hybrid Feature Synthesis for Improved Crop Yield Forecasting.
.- CLASSIFICATION OF DISEASES IN COMMON FOOD CROPS USING CUSTOM DESIGNED CONVOLUTIONAL NEURAL NETWORK.
.- Underwater Single Image Restoration Using Modified Cycle GAN.
.- Cross-Domain Cardiac Arrhythmia detection using Deep Transfer Learning on ECG Signals.
.- Automated Conversion of Hand Signs to Text and Speech using Deep Learning for Deaf Mute.
.- Chroma Closet: Empowering Colorblind Persons with a Deep Learning-based Color Recognition App.
.- Integrating Data Augmentation in Deep Convolutional Neural Network for Enhanced Emotion Detection from Facial Expressions.
.- Counting Visual Elements: A Deep Learning Framework for Visual Question Answering Using Multimodal Data Approach.
.- A Psychological Distress-based identification of the factors Stress, Anxiety and Depression Using Machine Learning Approach.
.- Genetic Disorder Prediction using Deep Learning.
.- Enhancing Startup Success: Leveraging Machine Learning for Business Category Recommendation.
.- CMDDL: A Novel Coconut Maturity Detection Model Using Deep Learning.
.- Lightweight Deep Learning Accelerators for Real-Time Object Detection in Resource-Constrained IoT Devices.
.- Beyond The Lyrics: Comparative Analysis Of Deep Learning Approaches For Sentiment Classification In Song Lyrics.
.- LAResNet50:Lesion aware detection network for dual ocular diseases.
.- Genetic Algorithm and EfficientNet-based Diabetic Retinopathy Identification.
.- SUGARCANE CROP CLASSIFICATION BY USING ENSEMBLE LEARNING AND REMOTE SENSING DATA.
.- Detecting Microservices Anti-patterns and Smells in Dynamic Environments.
.- A Stacking Ensemble-based Approach for Lung Cancer Detection.
.- NeuroShield: Enhancing Credit Card Fraud Detection with Advanced Predictive Models.
.- GestoSense: A Hand gesture recognition system for individuals with auditory and speech impairments.
.- Analyzing Performance of Interactive Multi-Task Learning Network in Aspect Based Sentiment Analysis.
.- A ROUGE-Based Comparison of Text Summarization Models.
.- Hybrid Deep-Machine Learning approach for Early Detection of Covid-19, Pneumonia with CBAM Integration.
.- Improving Tiny Face Detection and Recognition: Augmentation, Self-Attention, SSD.
.- Analysis of Voluntarily Reported Data Post Mesh Implantation for Detecting Public Emotion and Identifying Concern Reports.
.- KT-CIP: Distribution-aware Knowledge Transfer-based Uncertainty Quantification Approach using Context-relevant Input Pruning.
.- WGCNA and machine learning approaches to identify early stage diagnostic biomarkers for Oral squamous cell carcinoma.
.- Ensemble Learning and Neural Networks: Elevating Model Performance for Precise Cardiovascular Disease Detection.
.- Breast Invasive Ductal Carcinoma Tumor Detection and Classification Across Different Magnification Levels Using Transfer Learning.
