Knowledge Management and Acquisition for Intelligent Systems (eBook, PDF)

20th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2024, Kyoto, Japan, November 18-19, 2024, Proceedings
Redaktion: Wu, Shiqing; Kang, Byeong Ho; Xu, Xiaolong; Su, Xing

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 20th International Conference on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2024, held in Kyoto, Japan, during November 18-19, 2024.

The 15 full papers and 9 short papers presented in this volume were carefully reviewed and selected from 52 submissions. These papers demonstrate advanced research on machine learning, natural language processing, computer vision, and intelligent systems.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 300
• Erscheinungstermin: 15. November 2024
• Englisch
• ISBN-13: 9789819600267
• Artikelnr.: 72300905

Inhaltsangabe

.- Mining Prevalent Co-location Patterns with Multiple Minimum Prevalence Thresholds.
.- Computable Relations Mapping by Horn Clauses for Inductive Program Synthesis.
.- Aspect-Adaptive Knowledge-based Opinion Summarization.
.- Towards Responsible Decisions with Limited Training Data Using Human-in-the-Loop.
.- Intent-Spectrum BotTracker: Tackling LLM-based Social Media Bots through an Enhanced BotRGCN Model with Intention and Entropy Measurement.
.- Improving User Satisfaction through Approaches that Balance Recommendation Accuracy and Serendipity Tailored to Individual Preferences.
.- kNN-Res: Residual Neural Network with kNN-Graph Coherence for Point Cloud Registration.
.- Revolutionizing Organic Product Supply Chains: Blockchain, RSA-Encrypted NFTs, and IPFS for Ethical and Transparent Supply Chains.
.- Efficient Redundancy Elimination To Discovering Concise Prevalent Co-location Patterns.
.- EBcGAN: An Edge-Based Conditional Generative Adversarial Network for Image Fusion.
.- A Variational Approach to Personalized Federated Learning and its Improvement.
.- Natural Language Integration for Multimodal Few-Shot Class Incremental Learning: Image Classification Problem.
.- Multi-Target Contrastive Objective for Learning Property-Aware Vision-Language Representation.
.- Low Cost Active Learning Framework for Short Answer Scoring.
.- Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner.
.- The Integration of Federated Learning Techniques in Predictive Aircraft Maintenance using Cloud Services.
.- Precision 3D Motion Capture Using Pose Estimation Techniques: Application in Sports Video Analysis.
.- A Cross-Chain Analysis of NFT-Based Personal Data Marketplaces: Evaluating EVM-Supported Platforms for Transparent of Data Trading.
.- Optimizing Resource Distribution Towards Energy Justice in Resilient Smart Grids.
.- A Novel Adaptive Multi-channel Fusion Network Based on Deep Learning for Diabetes Diagnosis and Readmission Prediction.
.- Category-Aware Keypoint Masking to Address Biases in Semi Supervised 2D Pose Estimation.
.- Seq2Seq RNNs for Bus Arrival Time Prediction.
.- Virtual Learning Machine for Tiny Devices.
.- Distributed Dataset Framework for Large Language Models Pre-training.