Recent Challenges in Intelligent Information and Database Systems
Description
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.
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Content
.- 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.
