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Recent Challenges in Intelligent Information and Database Systems 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings

Title
Recent Challenges in Intelligent Information and Database Systems [electronic resource] : 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings / edited by Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat.
ISBN
9783031424304
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
XXVI, 623 p. 211 illus., 168 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
October 03, 2023
Series
Communications in Computer and Information Science, 1863
Communications in Computer and Information Science, 1863
Contents
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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