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
.- 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.
