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      1. Data och IT
      2. Databaser

      Recent Challenges in Intelligent Information and Database Systems

      17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part III

      AvNgoc Thanh Nguyen,Tokuro Matsuo

      Häftad, Engelska, 2025

      Del i serien Communications in Computer and Information Science

      1 124 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      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.

      Produktinformation

      • Utgivningsdatum:2025-04-26
      • Mått:155 x 235 x 22 mm
      • Vikt:598 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Communications in Computer and Information Science
      • Antal sidor:368
      • Förlag:Springer Nature Switzerland AG
      • ISBN:9789819658862
      • Originaltitel:Recent Challenges in Intelligent Information and Database Systems

      Utforska kategorier

      • Databaser inom Data och IT
      • Artificiell intelligens inom Data och IT

      Innehållsförteckning

      • .- Machine Learning and Artificial Intelligence Applications..- Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning..- Earthquake Response Analysis with AI..- Streaming Counterfactual Subset Selection with Bias Awareness..- An Advanced Neural Network Architecture Combining CNN, Bi-LSTM and CamemBERT for Sentiment Analysis in French..- On Comparing LLM-Generated Causal Networks with a Rule-Based Approach..- Unveiling Parkinson’s Disease Severity Using EEG-Driven Deep CNN Model..- Counteracting temporal attacks in Video Copy Detection..- Cross-Domain Transfer Learning for Semantic Segmentation of Seismic Facies..- Maximization of Communication Network Throughput using Dynamic Traffic Allocation Scheme..- Hierarchical Attention For Violence Detection..- Real-Time Facial Attribute Classifier using Streamlined Feature Re-calibration Module..- Real-Time Online Training Framework with Lesson-Based Curriculum for Minecraft Battle Bots..- A new application of reinforcement learning algorithm..- Ubervvald: Advanced Object Detection Library for Optimizing Complex Convolutional Neural Networks (CNNs) ..- Optimizing Recovery Debt Collection Process by using Machine Learning and Operation Research ..- Statistical Machine Learning Techniques for Wave Spectre Estimation in Coastal Seas..- Advancing Manufacturing Intelligence: Decisional DNA-based Methodology for Semi-Automatic Manufacturing Environment..- Comparative Analysis of Convolutional Neural Network Architectures for Emotion Recognition in Facial Images..- Speaker Change Detection with Pre-tranied Large Audio Model..- Multimodal Machine Learning Analysis of fNIRS Signals using LSTM and KNN Models for .- Cognitive States and Brain Activation Patterns Prediction..- Intelligent Information Systems and Advanced Problem-Solving Algorithms..- INVEST quality criteria in Agile Software Development - Do they come by nature or is it nurture?..- Limiting Energy Costs with the Two-step Heating Control of Natural Gas Boilers..- A novel parameter-free clustering algorithm for linear sum assignment problems..- Exploration in Case-Based Reasoning for Improved Problem-Solving..- Hybrid Quantum-Classical Algorithms for Explainable and Scalable Predictive Models in Binary Disease Classification..- Advanced Optimization Techniques for a Delivery Scheduling Problem by Using Genetic and Evolutionary Algorithms.
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