-- 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.

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.