Applied Intelligence and Informatics (eBook, PDF)

Third International Conference, AII 2023, Dubai, United Arab Emirates, October 29-31, 2023, Revised Selected Papers
Redaktion: Mahmud, Mufti; Zhong, Ning; Ahmed, Muhammad Raisuddin; Kaiser, M. Shamim; Ben-Abdallah, Hanene

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 486
• Erscheinungstermin: 19. August 2024
• Englisch
• ISBN-13: 9783031686399
• Artikelnr.: 72240891

Inhaltsangabe

.- 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.