Knowledge Integration and Analysis -- A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys -- A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns -- Obfuscating LLVM IR with the Application of Lambda Calculus -- Structural and Compact Latent Representation Learning on Sparse Reward Environments -- A Survey of Explainable Artificial Intelligence Approaches for Sentiment Analysis -- Social collective model of non-internet social networks -- A Data-driven Scheduling Strategy for Mobile Air Quality Monitoring Devices -- Hybrid approaches to sentiment analysis of social media data -- Integrating Ontology-based Knowledge to Improve Biomedical Multi-Document Summarization Model -- An Improvement of Diachronic Embedding for Temporal Knowledge Graph Completion -- DCA-based weighted bagging: A new ensemble learning approach -- Deep-learning- and GCN-based Aspect-level Sentiment Analysis Methods on Balanced and Unbalanced Datasets -- Applying the Malmquist productivity index model to assess the performance of the coffee enterprise in DakLak Vietnam -- A Cluster-Constrained Graph Convolutional Network for Protein- Protein Association networks -- Fuzzy logic framework for ontology concepts alignment -- Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge -- Multi-criteria Approaches to Explaining Black Box Machine Learning Models -- Improving Loss Function for Polyp Detection Problem -- Flow Plugin Network for Conditional Generation -- Speech and Text Processing -- Investigating the Impact of Parkinson's Disease on Brain Computations An Online Study of Healthy Controls and PD Patients -- Speech Enhancement using Dynamical Variational AutoEncoder -- Vietnamese Multidocument Summarization using Subgraph Selection-based Approach with Graph-informed Self-attention mechanism -- NegT5: A Cross-Task Text-to-Text Framework for Negation inQuestion Answering -- An Empirical Study on Punctuation Restoration for English, Mandarin, and Code-switching Speech -- Novel Topic Models for Parallel Topics Extraction from Multilingual Text -- Adapting Code-Switching Language Models with Statistical-Based Text Augmentation -- Improving Hotel Customer Sentiment Prediction by Fusing Review Titles and Contents -- Resource management and optimization -- In support of push-based streaming for the computing continuum -- Effective method of implementing constrained optimization problems using data instances -- Scheduling Deep Learning Training in GPU Cluster Using the Model-similarity-based Policy.