Knowledge Management and Acquisition for Intelligent Systems

.- 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.