E-grāmata: Applied Intelligence and Informatics: Third International Conference, AII 2023, Dubai, United Arab Emirates, October 29-31, 2023, Revised Selected Papers

.- 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
Alzheimers and Parkinsons 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.