Applied Intelligence and Informatics
Springer International Publishing (Verlag)
978-3-031-68638-2 (ISBN)
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.
.- 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.
| Erscheinungsdatum | 20.08.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XVI, 486 p. 204 illus., 172 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Applied Computing • Artificial Intelligence • classification and regression trees • Computational Biology • Computer forensics • computer vision tasks • Ensemble methods • Feature Selection • healthcare information systems • Health Informatics • life and medical sciences • machine learning • multi-task learning • Neural networks • rule learning • Speech Recognition • supervised learning • Unsupervised Learning |
| ISBN-10 | 3-031-68638-1 / 3031686381 |
| ISBN-13 | 978-3-031-68638-2 / 9783031686382 |
| Zustand | Neuware |
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