Full Description
This book constitutes the refereed post-conference proceedings of the Third International Conference on Applied Intelligence and Informatics, AII 2023, held in Dubai, United Arab Emirates, during October 29-31, 2023.
The 31 full papers included in these proceedings were carefully reviewed and selected from 99 submissions. They are organized in these topical sections as follows: Emerging Applications of AI and Informatics; Application of AI and Informatics in Healthcare; Application of AI and Informatics in Pattern Recognition; Application of AI and Informatics in Network, Security, and Analytics.
Contents
.- Emerging Applications of AI and Informatics.
.- A Deep Learning-Based Neural Network Model for Autism Spectrum Disorder Prediction.
.- Improving a Fuzzy Matching Engine.
.- Speech Emotion Recognition: An Empirical Analysis of Machine Learning Algorithms Across Diverse Data Sets.
.- A BERT-based Chatbot to Support Cancer Treatment Follow-Up.
.- Optimizing Medical Imaging Quality: An In-Depth Examination of Preprocessing Methods of Brain MRIs.
.- MindData for Enhanced Entertainment Building a Comprehensive EEG Dataset of Emotional Responses to Audio-Visual Stimuli.
.- A Survey on Tools and Techniques of Classification in Educational Data Mining.
.- Application of AI and Informatics in Healthcare.
.- A Robust and Explainable Deep Learning Method for Cervical Cancer Screening.
.- Classifying Depressed and Healthy Individuals Using Wearable Sensor Data: A Comparative Analysis of Machine Learning Approaches.
.- Performance Analysis of a Single-Input Thermal Image Classifier with Patient Information for the Detection of Breast Cancer.
.- Investigation of HR and QT Variability for Monitoring Sleep Apnea: An Interpretable Machine Learning Approach.
.- Transfer Learning-Based Ensemble of Deep Neural Architectures for Alzheimer's and Parkinson's Disease Classification.
.- Classifying Emotions of Parkinsonian Patients from Electroencephalogram Signals using Efficient Attention Capsule
Network.
.- Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms with Feature Selection Techniques.
.- A Survey on Heart Disease Prediction Using Machine Learning Techniques.
.- A Fuzzy Logic-Based Framework for Accurate Detection of Infectious Diseases.
.- Application of AI and Informatics in Pattern Recognition.
.- A Media-pipe integrated deep learning model for ISL (Alphabet) recognition and converting Text to Speech with Video Input.
.- A Driver Fatigue Detection Framework with Convolutional Neural Network and Long Short-Term Memory Network.
.- FallGuardian: Wear OS-Based Machine Learning Fall Detection Framework.
.- Classification of Different Cancer Types Based on RNA HI-SEQ Data Using Dimensionality Reduction.
.- YOLO-V4 Based Detection of Varied Hand Gestures in Heterogeneous Settings.
.- Comparative Analysis of Pre-Trained CNN Models for Neurobiological Disease Classification.
.- An Overview of Data Security Algorithms in Cloud Computing.
.- Application of AI and Informatics in Network, Security, and Analytics.
.- Optimizing Round-Robin Scheduling Algorithm Performance in Real-time Systems.
.- Enhancing Outdoor Comfort: A Machine Learning Framework for Predicting Comfort Level.
.- Augmented Reality in the Fields of Management and Business: A Bibliometric Review of the Literature.
.- CDSER: Sentiment Analysis for Product Selection to Enhance E-commerce Review System.
.- Screening of Enhanced Oil Recovery Methods Using Supervised Machine Learning Predicated on Range Data.
.- A Survey on Nature-Inspired Optimization Methods for Effective Task Scheduling in Cloud Computing Environment.
.- Enhancing Internet of Things Security with Random Forest-Based Anomaly Detection.
.- A Survey of Challenges Associated with Cloud Computing Security.
