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Full Description
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.
Contents
.- 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.
