Intelligent Information and Database Systems 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part II

This two-volume set constitutes the refereed 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 57 full papers presented in these proceedings were carefully reviewed and selected from 251 submissions. The papers of the 2 volume-set are organized in the following topical sections: 

Part I: advanced data analysis methods; AI-driven cybersecurity and medical solutions; application of generative models; computational intelligence.

Part II: data modelling and smart information systems; image and video processing; machine learning algorithms in theory and practice; prediction and recommendation systems; text, speech and natural language processing.

.- Data Modelling and Smart Information Systems.
.- A systematic review of medicinal plant identification using deep learning.
.- KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification.
.- MVis4LD: Multimodal Visual Interactive System for Lie Detection.
.- ULTIMATE Project Toolkit for Robotic AI-based Data Analysis and Visualization.
.- Adaptive Traffic Management System based on Real-time Traffic Conditions.
.- Formalizing Data Metamodel Semantics for Mapping Patterns Specification.
.- Evolution and Refinement of the Formal Framework for Collective Systems.
.- Multi-criteria temporal intelligent decision support system for sustainable energy mix assessment.
.- Image and Video Processing.
.- Brain Tumor Segmentation with FPN-based EfficientNet and XAI.
.- V-DETR: Pure Transformer for End-To-End Object Detection.
.- Enhancing Classification of Parasite Microscopy Images Through Image Edge-Accentuating Preprocessing.
.- Enhancing Deepfake Detection Through Innovative Data Augmentation Strategies and Frame-Based Deep Learning Architecture.
.- Self-supervised adversarial masking for 3D point cloud representation learning.
.- Facial Ethnicity Recognition Based on a New Joint Loss Function.
.- Decision-making Approach for Early Plant Stress Detection from Hyperspectral Images.
.- Adaptive Scheme of Clustering-based Unsupervised Learning for Person Re-identification.
.- Machine Learning Algorithms in Theory and Practice.
.- An ensemble classifier based on kNN with an interval threshold strategy.
.- Superior Parallel Big Data Clustering through Competitive Stochastic Sample Size Optimization in Big-means.
.- Invigorative Art. Can a Computer Program Be Creative?.
.- Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments.
.- Identification of Users in a Gambling Problem with the Use of Machine Learning.
.- Towards Robust Continual Learning: A Multi-Head Approach with Online Prototype Equilibrium and Adaptive Prototypical Feedback.
.- On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks.
.- Prediction and Recommendation Systems.
.- A Clustering-Based Athlete Recommender System Considering the Discrepancy between Ability and Result.
.- Interpretable Fuzzy Embedded Neural Network for Multivariate Time-Series Forecasting.
.- How to Recommend Multidimensional Data with a Multiplex Graph?.
.- Text, Speech and Natural Language Processing.
.- Exploring Unsupervised Word Representations Models and Neural Networks for Informal Multilingual Text against Covid-19 Social Media Content.
.- Comparative analysis of models for neural machine speech-to-text translation for Turkic state languages`.
.- Vietnamese Automatic Speech Recognition for Financial Conversation Data.
.- Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment.
.- Deep semantic biomedical document representation method.
.- Synergistic Text Annotation based on Rule-based Expressions and DistilBERT.