Applied Intelligence and Informatics [E-Book] : Third International Conference, AII 2023, Dubai, United Arab Emirates, October 29-31, 2023, Revised Selected Papers / edited by Mufti Mahmud, Hanene Ben-Abdallah, M. Shamim Kaiser, Muhammad Raisuddin Ahmed, Ning Zhong.
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 select...
Saved in:
|
Full text |
|
| Personal Name(s): | Ahmed, Muhammad Raisuddin, editor |
| Ben-Abdallah, Hanene, editor / Kaiser, M. Shamim, editor / Mahmud, Mufti, editor / Zhong, Ning, editor | |
| Edition: |
1st edition 2024. |
| Imprint: |
Cham :
Springer,
2024
|
| Physical Description: |
XVI, 486 pages 204 illustrations, 172 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783031686399 |
| DOI: |
10.1007/978-3-031-68639-9 |
| Series Title: |
Communications in Computer and Information Science ;
2065 |
| Subject (LOC): |
- 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.