Recent Challenges in Intelligent Information and Database Systems 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part II

This three-volume set CCIS 2493–2495 constitutes the refereed proceedings of the 17th Asian Conference on Recent Challenges in Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025.

The 80 papers included in these proceedings were carefully reviewed and selected from 301 submissions. The papers are organized in the following topical sections: 

Volume I: 

Data Analysis and Signal Processing; Development and Application of Large Language Models; Speech and Natural Language Processing.

Volume II: Artificial Intelligence in Multimedia Technologies; Image and Video Processing.

Volume III: Machine Learning and Artificial Intelligence Applications; Intelligent Information Systems and Advanced Problem-Solving Algorithms.

.- Artificial Intelligence in Multimedia Technologies.
.- Drawing Strategies Analysis for the Embedded Figure Tests.
.- VietHarmony: Borda-Based Ensemble with Ontology-Driven Insights.
.- Music Assistant - A Method for Music Recommendation using Sensor Data from Wear OS system.
.- Study of players’ user experience during gameplay using different types of soundtracks.
 .- Image and Video Processing.
.- Vital-Net: Vision Integrated Transformer and Attention Network for Lung Nodule Segmentation on Full-Scale Images.
.- Direct detection of elongated objects geometry via a centerline-based representation.
.- Improved Skin Classification Performance based on Hybrid Models.
.- PIU-FR: Personal Identity Unlearning for Facial Recognition.
.- Enhancing Action Recognition Using 3D Skeleton Re-construction: Integrating MotioNet with AcTv2.
.- Elucidation facet in evolutionary art evaluation.
.- An Approach for the Identification of Pollen Grains Extracted from Digital Microscopic Images by means of the Centroid - Point Distance Histogram.
.- Detection of anatomical structures relevant for explaining predictions of classification models for child sexual abuse materials.
.- Investigating Grad-CAM Interpretability Through Expert Assessment.
.- Mononucleosis oral disease detection with the help of GANNs.
.- Image Quality Assessment for Facial Image Authenticity Verication (FIAV) .
.- A lightweight transformer model for real-time object detection on edge devices in surveillance camera systems.
.- Automated Label Quality Control in Industry 4.0.
.- Vision-Based Malware Detection: Integrating CNN and MobileNetV2 for Dynamic Cybersecurity Challenges.
.- Toward exploiting perceptual image similarity for multi-frame super-resolution.
.- A Combined Model Based on Deep Learning for Littering Detection.
.- A Hybrid Neural Network for Single Image Super Resolution.
.- Explainable AI for Date Leaves Disease Detection Using Vision Transformers .
.- Human action recognition using a feed-forward neural network and hand-crafted shape features.
.- Lightweight 3D Hand Pose Estimation using Knowledge Distillation with Hand Kinematics.
.- ClearOcean: Enhancing Underwater Images via Pyramid Difussion Models.
.- Enhancing PM2.5 Forecasting Using Video-Based Spatiotemporal Models and Cyclical Encoding.
.- A new CNN architecture for Alzheimer’s disease diagnosis and multi-class classification.
.- BirdyAI - Bird Identification and Classification model with DenseNet and StableDiffusion on Limited Hybrid, Natural and Synthetic Datasets.