Recent Challenges in Intelligent Information and Database Systems (eBook, PDF)

15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings
Redaktion: Nguyen, Ngoc Thanh; Selamat, Ali; Pasupa, Kitsuchart; Hong, Tzung-Pei; Hnatkowska, Bogumila; Fujita, Hamido; Boonsang, Siridech

• Format: PDF

Produktbeschreibung

This book constitutes the second part of the proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24-26, 2023.

The 50 full papers included in this book were carefully reviewed and selected from 224 submissions. They were organized in topical sections as follows: Computer Vision, Cybersecurity and Fraud Detection, Data Analysis, Modeling, and Processing, Data Mining and Machine Learning, Forecasting and Optimization Techniques, Healthcare and Medical Applications, Speech and Text Processing.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 623
• Erscheinungstermin: 28. September 2023
• Englisch
• ISBN-13: 9783031424304
• Artikelnr.: 69064573

Inhaltsangabe

Computer Vision.- Fast Camera Motion Compensation Based Kalman Filter And Cascade Association For Multi-object Tracking.- Image-based Reliable Object Localization of UAV Cooperating with Ground Vehicle.- Images Retrieval and Classification for Acute Myeloid Leukemia Blood Cell Using Deep Metric Learning.- Superior automatic screening for human helminthic ova by using self-supervised learning approach-based object classification.- Cybersecurity and Fraud Detection.- Obfuscated Malware Detection: Impacts on Detection Methods.- Estimating Post-OCR Denoising Complexity on Numerical Texts.- Reciprocal Points Learning based Unknown DDoS Attacks Detection.- An Approach To Prevent DDOS Attack Using Real-Time Access Logs Analysis.- A novel method for spam call detection using graph convolutional networks.- The completion of a smart factory research project by concluding a DAO.- An Approach for Tamper-Proof QR Code Using Deep Learning Based-Data Hiding.- Data Analysis, Modeling, and Processing.- Enhanced Energy Characterization and Feature Selection using explainable Non-parametric AGGMM.- Hybrid Method for Short Text Topic Modeling.- AWS: GNNs that Aggregate and add With Self-node representation for Dehydrogenation Enthalpy Prediction.- Utilising Unet3+ for Tooth Segmentation on X-Ray Image.- Group Trip Planning Approach with Travel Time and Ratio Constraints.- When are Latent Topics Useful for Text Mining? Enriching Bag-of- Words Representations with Information Extraction in Thai News Articles.- Assessing Data Quality: An Approach for the Spread of COVID-19.- Improved U-Net based on Dual Attention Mechanism for Glottis Segmentation and Dysphagia Auxiliary Diagnosis.- The Application of Machine Learning Technique to Soil Salinity Mapping in South of Kazakhstan.- Principal Components Analysis based frameworks for efficient missing data imputation algorithms.- An Integration of Big Data and Blockchain for Strategic Analysis for Schools in Thailand.- Federated Deep Reinforcement Learning - based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP.- A Multi-Criteria Framework Supporting Sustainability Assessment Considering SDG 7 Targets.- A Novel Software Tool for Fast Multiview Visualization of High-Dimensional Datasets.- A Distilled 2D CNN-LSTM Framework with Temporal Attention Mechanism for Action Recognition.- Data Mining and Machine Learning.- Goal-oriented Classification Measure Based on the Game Theory Concepts.- Comparative Study on Customer Churn Prediction by Using Machine Learning Techniques.- Improving the Expected Goal value in football using Multilayer Perceptron Networks.- A Projected Upper Bound for Mining High Utility Patterns from Interval-Based Event Sequences.- Mitigating Catastrophic Forgetting in Neural Machine Translation through Teacher-Student Distillation with Attention Mechanism.- The Achilles Heel of Artificial Intelligence.- Using machine learning algorithms to explore listeners musical tastes.- Forecasting and Optimization Techniques.- Forecasting performance of GARCH, EGARCH and SETAR non-linear models: an application on the MASI index of the Casablanca stock exchange.- Forecasting of Energy Consumption in the Philippines Using Machine Learning Algorithms.- A Deep Reinforcement Learning-based Multi-Objective Optimization for Crowdsensing-based Air Quality Monitoring Systems.- Healthcare and Medical Applications.- Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder-Based Support Vector Data Description.- Cervical Spine Fracture Detection via Computed Tomography Scan.- Healthcare 4.0 for the improvement of the surgical monitoring Business Process.- Improvement of the Process of Diagnosing Patient's Condition via Computer Tomography Lung Scans using Neural Networks.- Novel machine learning pipeline for real-time oculometry.- Elitism-based Genetic Algorithm Hyper-heuristic for Solving Real-life Surgical Scheduling Problem.- Speech and Text Processing.- Generation of Arabic Commonsense Explanations.- Automatic Speech Recognition improvement for Kazakh language with Enhanced Language Model.- Relationship Between Linguistic Complexity and MT Errors in the Context of Inflectional Languages.- Differential-Privacy Preserving Trajectory Data Publishing for Road Networks.- Using Text Mining and Tokenization Analysis to Identify Job Performance for Human Resource Management at the University of Phayao.- The task of generating text based on a semantic approach for a low-resource Kazakh language.- Nested Semisupervised Learning for Cross-Note Abbreviation Detection in Vietnamese Clinical Texts.- An Effectiveness of Repeating a Spoken Digit for Speaker Verification.

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