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

16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part II
Redaktion: Nguyen, Ngoc Thanh; Wojtkiewicz, Krystian; Nguyen, Le Minh; Hong, Tzung-Pei; Fujita, Hamido; Manolopoulos, Yannis; Chbeir, Richard

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 353
• Erscheinungstermin: 12. August 2024
• Englisch
• ISBN-13: 9789819759347
• Artikelnr.: 72241582

Inhaltsangabe

.- 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.