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E-raamat: Recent Challenges in Intelligent Information and Database Systems: 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part II

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Recent Challenges in Intelligent Information and Database Systems: 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part IISuurem pilt
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This book constitutes the proceedings of the 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, held in Ras Al Khaimah, UAE, during April 1518, 2024.





The 58 full papers are presented in this book were carefully reviewed and selected from 251 submissions. They are organized in topical sections as follows: 





Part One: AI-driven Cybersecurity Solutions; AI-driven Medical Analytics; Computational Intelligence; and Data Modelling and Information Systems.





Part Two: Image and Video Processing; Prediction and Recommendation Systems; and Text, Speech and Natural Language Processing.
.- Image and Video Processing.



.- Object Detection in Movies Case Study.



.- Leveraging Large Image-Caption Datasets for Multimodal Taxon
Classification.



.- Attention-Based Multi-Layer Perceptron to Categorize Affective Videos from
Viewers Physiological Signals.



.- Automatic Detection of Serve Actions in Tennis Videos.



.- An Effective Image Synthesis Method to Solve The Shortage of Traffic Sign
Training Images in Taiwan.



.- Omni-TransPose: Fusion of OmniPose and Transformer Architecture for
Improving Action Detection.



.- Enhancing Thai Food Recognition through Multimodal Fusion of Image and
Fourier Spectrum.



.- SnapQuake: Damage Detection in Snapchat Videos for Earthquake Assessment.



.- Lecture Video Summarization using Deep Learning.



.- Philippine Lime (Calamansi) Disease Detection and Classification using
YOLOv8 Model.



.- Graphics and visions camera calibration and applications to neural
radiance fields.



.- Prediction and Recommendation Systems.



.- LSTM based time series forecasting of noisy signals.



.- Prediction of the Compressive Strength of Sustainable Concrete Produced
with Powder Glass using Standalone and Stack Machine Learning Methods.



.- Bag of Activities for Customer Churn Prediction in e-Book Subscription
Domain.



.- Forecasting WTI & Brent crude oil price using LSTM, Prophet and XGBoost
comparative analysis.



.- Enhancing Scholarly Paper Recommendation by Modelling Diversity of
Research Interests.



.- Forecasting residential real estate prices using deep learning.



.- Forecasting sales at fuel stations using a multilayer perceptron.



.- News That Moves the Market: DSEX-News Dataset for Forecasting DSE Using
BERT.



.- Federated Learning for Predicting Irrigation Requirements in Multi-Farm
Irrigation Scheduling Systems.



.- Stepwise approach to automatically building an ensemble of classifiers on
football data.



.- Continual Learning based on Task Masking for Multi-Domain Recommendation.



.- RegFlow: Probabilistic Flow-based Regression for Future Prediction.



.- Text, Speech and Natural Language Processing.



.- Assessing the Text Readability by Use of Language Model Embeddings.



.- In search of grammar structures in authentic language materials: Enhancing
semgrex for dependency trees.



.- Designing processes and models of semantical differentiation for
polyfunctional words in the Uzbek contexts.



.- Development and Realization of Bigram Models for Recognizing Homonyms in
the Uzbek Language.



.- A study of Kazakh speech recognition in Hiformer model.



.- A New Approach to Deriving Jaccard Similarity and Jaccard Distance
Properties with and without Considering Feature Weights.
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