This book constitutes the refereed proceedings of the Second International Conference on Advanced Communication and Intelligent Systems, ICACIS 2023, held in Warsaw, Poland, during June 16-17, 2023
The 43 full papers included in this book were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: Wireless Communication, Artificial Intelligence and Machine Learning, Robotics & Automation, Data Science, IoT and Smart Applications
Inhaltsverzeichnis
Enhanced Prediction of Heart Disease using Machine Learning and Deep Learning. - Machine Learning-Powered Tool for Automated Healthcare Diagnosis. - Development and Evaluation of an Artificial Intelligence-Based System for Pancreatic Cancer Detection and Diagnosis. - Comparative Analysis of Deep Learning Architectures for Garbage Classification. - Developing an Automated System for Pothole Detection and Management using Deep Learning. - Robust Neurodegenerative Disease Detection Using Machine Learning Algorithms. - Real-Time Drowsiness Detection System Using Machine Learning. - Hate Speech Detection in Multi-Social Media Using Deep Learning. - Collating Weather Data and Grocery Cost using Machine Learning Techniques. - Breast Cancer Detection by using Decision Tree. - Integrating Scene and Text Recognition for Improved Scene Caption to assist Visually Impaired. - Sugarcane Leaf Disease Classification using Deep Learning. - An Analysis ofCurrent Advancements: Elderly Fall Detection Systems Using Machine Learning Techniques. - DLMEKL: Design of an efficient Deep Learning Model for analyzing the effect of ECG & EEG disturbances on Kidney, Lungs and Liver functions. - A Comprehensive Review of the Latest Advancements in Large Generative AI Models. - Integration of IoT and Industry 4. 0: Revolutionizing Industrial Processes. - Artificial Intelligence based Optimized Traffic Diversion System in Smart Cities. - Cloud Computing Enabled Autonomous Forest Fire Surveillance System Using Internet-of-Things. - Understanding Career Trajectories of IT professionals -A Machine Learning Approach. - RECOGNITION OF VARITIES OF RICE USING DEEP LEARNING TECHNOLOGIES. - Optimizing Pneumonia Diagnosis through Local Binary Pattern and 2D-Wavelet Transform Based Feature Extraction and Classification. - Recognition of Infant Footprint: A Review of Advanced Techniques. - Method Comparison for Predicting Student Retention at a Private School in Indonesia. - Distribution and Semantics of Terms with the Component `White in the Bulgarian Language: a Statistical Approach. - Sanskrit OCR System. - Information Technology and Fintech Innovation and its effect on Indian Financial Services. - Application of Neural Networks and Genetic Algorithms in establishing Logical Rules for evaluating the edibility of Mushroom Data. - A Review on Machine Learning based Security in Edge Computing Environment. - Multiple linear regression based analysis of weather data : Assumptions and Limitations. - Ransomware Taxonomy and Detection Techniques Based on Machine Learning: A Review. - Analysis And Design of Document Similarity Using BiLSTM and BERT. - Customer Churn Analysis for Live Stream E-Commerce Platforms by Using Decision Tree Method. - Estimation of Reliability, BER, BLER and throughput during the coexistence of 4G LTE and 5G NR. - Sentiment Analysis of user-generated data using CNN-BiLSTM model. - Performance of Bayesian Networks Classification Models for Tuberculosis Patient Outcome Prediction with Imbalanced Dataset. - Exploring the Future of Edge Computing: Advantages, Limitations, and Opportunities. - Development of Facial Emotion Recognition System using Unimodal and Multimodal approach. - Fake Product Review Detection Using Machine Learning. - A survey on Designing Efficient WSN using Duty Cycle optimization. - A Novel Framework for Harnessing AI for Evidence-Based Policymaking in E-Governance Using Smart Contracts. - Vehicular Ad-hoc Networks: A Review on Applications & Security. - An Approach for Efficient Experts Selection in Team Formation Problems. - Cybersecurity Model for Mobile and Web Application Banking Sectors.
