Intelligent Information and Database Systems 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I /
This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025. The 56 full papers and presented in these two volumes were carefully rev...
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| Diğer Yazarlar: | , , , , , , |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Edisyon: | 1st ed. 2025. |
| Seri Bilgileri: | Lecture Notes in Artificial Intelligence,
15683 |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-981-96-6008-7 |
| Etiketler: |
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İçindekiler:
- -- Data Mining, Processing and Integration.
- Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems.
- A Hybrid Discovery Framework for USV Voyage Route Generation Using AIS Data.
- Proactive approach to personnel assignment in University Course Timetabling Problem.
- Improving Traffic Sign Detection Using Synthetic Data and Automatic Labeling.
- Unraveling Research Patterns in Quantum Computing Through Topic Modeling and Network Analysis.
- Mining Erasable Patterns Using the Bitmap Method in Quantitative Component Databases.
- Privacy Preserving Based on SHA Encryption and Cluster Analysis in Federated Frequent Itemset Mining.
- An Optimization Algorithm for Finding Extractive Summary from Multiple Source Documents Based on Association and Clustering.
- Improving Stress Detection with Synthetic Datasets: GPT-4o-mini and Transformer Model Evaluation.
- On Translating Association-Oriented Structures of Unified Process Metamodel into OWL.
- A Method for Evaluating Expressive Power and Semantic Capacity of Metamodel in Conceptual Data Modeling.
- Optimizing Task Estimation Accuracy in Agile Projects: A Data-Driven Study.
- Low Computational Aggregation Method for Time Series Forecasting.
- Information graphs in process analysis.
- Deep Learning Methods and Applications.
- ESM-VAE: Bias Reduction in EEG Models via Synthetic Data Generation with Variational Autoencoders.
- Chromatic Aberration Detection Using Fully Convolutional Networks.
- Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent Deep Learning Models Predicting Off-target Activities for K562 and Hek293 Cell Lines.
- CerMixer: An Efficient Model for Cervical Cancer Classification Based on Patching and Multi-Scale Depthwise Convolutional Fusion.
- Generative Models Applications.
- Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in Large Language Models.
- Automatic Creation of Multilingual Knowledge Graph with Large Language Models.
- Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems.
- An empirical review of the effectiveness of different language processing approaches in Software Code Vulnerability Detection.
- Intelligent Information Systems and Problem-Solving Algorithms.
- Analysis of Artificial Intelligence Solutions in Offensive Cybersecurity Domains.
- Research on the Application of Large Language Models (LLM) for Improving Recruitment Efficiency and Accuracy.
- A Trading Strategy Portfolio Optimization Approach Based on Fuzzy Mean-semivariance Model Using Memetic Algorithm.
- Brain-Computer Interface Framework for Real-Time Application Adaptation.
- Jaccard Distance under Incompleteness.