
Recent Challenges in Intelligent Information and Database Systems
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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 15-18, 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.
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Content
.- 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 Viewer's 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 vision's 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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