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ORCIDExpert Systems - The Journal of Knowledge Engineering, Volume 43
Volume 43, Number 1, 2026
- Huyen Trang Phan
, Van Du Nguyen, Ngoc Thanh Nguyen:
Ensemble Graph Convolutional Networks for Improving the Performance of Aspect-Level Sentiment Analysis. - Jacobo Farray Rodríguez, Antonio Jesús Fernández-García, Elena Verdú:
Grading Open-Ended Questions Using LLMs and RAG. - Yi Xu, Anchi Chen:
A Supervised Variational Autoencoder for Incomplete Multi-View Classification. - Waqar Khan, Brekhna Brekhna, Muhammad Sadiq Hassan Zada, Shina Niu, Dong Siqi, Lingfu Kong, Yajun Xie:
Local Causal Discovery Towards High-Dimensional Streaming Features. - Yihao Wang, Ting Yang, Chenxi Xiong:
GSSFL : A Group Signature and Smart Contract-Based Framework for Privacy-Preserving Federated Learning. - Xiaohua Huang, Peilin Li:
Dual-Branch Cross-Diversion Transformer With Spatial Soft Alignment for Few-Shot Surface Defect Detection. - Yansong Zhu, Yuyang Guo:
Personalised Recommendation With Federated Lightweight Graph Convolutional Networks. - Jianyu Huang, Chunyan Jiang, Xiaomin Huang, Yuting Liu, Fang Li, Rong Deng, Lin Xu, Wanqing Wu:
A Knowledge-Driven Expert System for Robust Cardiac Event Detection Using Multi-Scale Temporal Transformers. - Issue Information.
- Kaiyu Zhang:
TimeBrush : An Intelligent Expert System for Restoring Historical Images With Temporal and Stylistic Guidance. - Fida Muhammad Khan, Asim Zeb, Taj Rahman, Inam Ullah, Nazik Alturki, Ali Kashif Bashir, Yamen El Touati, Nidhal Ben Khedher, Khalid Mahmood Awan:
Federated Deep Learning for Collision Avoidance in IoV With Digital Twin Integration. - Anne Adriano, K. Andrea Scott, Haroon B. Oqab, George B. Dietrich, Nasser Lashgarian Azad:
Neural Networks for Space Debris Classification. - Shih-Yeh Chen, Wei-Cheng Chen:
AI -Driven Intelligent Feedback System for Enhancing Self-Assessment Accuracy in Higher Education Writing. - Till Blume, Jannik Rau, David Richerby, Ansgar Scherp:
Three Algorithms for Parallel Graph Summarization. - Marcos Luengo Viñuela, Jesús Ángel Román Gallego, María Luisa Pérez-Delgado, Miguel A. Conde, María-Concepción Vega-Hernández, Hernando Silva-Varela:
Detection of APTs by Machine Learning: A Performance Comparison. - Zihe Song, Renke Huang, Aiqi Li, Aoran Shen, Heng Chen:
Adapter-Regularised Continual Learning for Dynamic Financial Sentiment Encoding in Multi-Modal Market Fusion. - Yachuan Wang, Mi Wen, Dongyang Li, Jigang Wang:
Periodicity Variations Modelling Based on 2D Multi-Scale Patch for Multivariate Time Series Forecasting Using Improved MLP and Depthwise Separable Convolution.
Volume 43, Number 2, 2026
- Jonne van Dreven, Sadi Alawadi, Abbas Cheddad, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt:
Federated Multi-Source Data Fusion for Semi-Supervised Fault Detection in District Heating Substations. - Pengwei Zhang, Xiaoqing Shao, Yuxuan Zhao, Fengda Zhao:
Hierarchical-Split Multi-Scale Convolution Network With Multi-Task Learning for Human Activity Recognition in Wearable Devices. - Issue Information.
- J. Guzmán Figueira-domínguez, Beatriz Remeseiro, Verónica Bolón-Canedo:
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies. - Hu Lu, Yanyan Zhao, Guo Yang, Shengli Wu:
DSGNet : A Lightweight Network Integrating Depthwise Separable and Ghost Convolutions for Real-Time Surface Defect Segmentation. - Angel Felipe Magnossão de Paula, Imene Bensalem, Damiano Spina, Paolo Rosso:
Mitigating the Negative Transfer in Multi-Task Learning for Harmful Language Detection in Spanish and Arabic. - Luiz Rogério de Freitas Júnior, Frederico Gadelha Guimarães:
Remaining Useful Life Prediction in an Aerospace Engine: A Multivariable Fuzzy Time Series Classification Approach. - Liang-Ying Ke, Zih-Ching Chen, Chih-Hsien Hsia:
Progressive Generative Adversarial Network Based on Spatial Style for Makeup Transfer. - Vinay Chamola, Daksh Dave, Ishika Goyal, Sangeeta Sharma:
Generative Artificial Intelligence in STEM Education: A Review of Applications, Benefits and Challenges. - Ketjona Shameti, Dhuratë Hyseni, Yannis Manolopoulos, Betim Çiço:
Comparison of CRISP - DM Versus OSEMN Methodologies Using Linear Regression and Statistical Analysis. - Vi Hoai Nam, Gwanggil Jeon, Abdellah Chehri, Bui Trung Thanh, Vu Khanh Quy:
An Improved Reinforcement Learning Approach for Sustainable 6G UAV Communications. - Jincheng Yi, Shaohua Jiang, Qipeng Wen:
Detecting News Bias With Sentence Salience and Hierarchical Structures. - Yu Wang, Jun Tao, Shu Shang, Meng Xue, Tianqi Zhang:
An Enhanced YOLOv5s Model With UAV Flight Data Fusion for Defect Detection in Power Transmission Lines. - Ghulam Mustafa, Muhammad Saeed Khattak, Ahmad Sami Al-Shamayleh, Muhammad Tanvir Afzal, Adnan Akhunzada:
The HK Index: A Disjointness-Driven Model for Intelligent Ranking of Scientific Impact. - Fengshan Bai, Cun Li, Ying Zhou:
Research on Default Prediction of Chinese-Listed Companies Integrating News Headlines.
Volume 43, Number 3, 2026
- Yuhong Zhang, Congmei Shi, Xuegang Hu:
Label-Aware Augmentation for Long-Tailed Cross-Network Node Classification. - Diana Veronica Portugal Churata, Marcelo Fantinato, Sarajane Marques Peres, Mônica Sanches Yassuda, Ruth Caldeira de Melo, Meire Cachioni, Raul Benites Paradeda:
Exploring Factors Shaping Social Robot Acceptance in Older-Adult Care: Insights From Brazilian Caregivers. - Issue Information.
- Zekai Xu, Jijun Tong, Yetao Tong, Shudong Xia, Qingli Zhou, Yuqiang Shen:
URRel : Joint Entity and Relation Extraction in Chinese Medical Texts via Unified Representation and Reinforcement Learning With Overlapping Relations. - Sanggyu Lee, Sangseok You, Sangyoon Lee:
Performance of Remote Task in Multi-Robot Construction: Focusing on Pick-and-Place. - Joana Amorim, João Pimentel, Frank Rudzicz:
On the Limitations of Speaker Diarization. - Jianhao Sun, Haiwen Wei, Jiabing Liu, Mingze Xu, Junzhi Shi, Mingliang Gao:
FusionFormer : A Multi-Source Data Fusion Transformer for Precipitation Nowcasting. - Lu Bai, Xuezhou Wen, Feilong Xie:
Adaptive Time-Aware Feature Augmentation and Improved Harris Hawks Optimization for Credit Risk Modelling. - Partha Pratim Ray:
A Review of TRiSM Frameworks in Artificial Intelligence Systems: Fundamentals, Taxonomy, Use Cases, Key Challenges and Future Directions. - Sahbi Bahroun, Gwanggil Jeon:
Longitudinal Alzheimer's Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross-Modal Feature Fusion. - Hao Li, Junxin Chen, Bo Wang, Salvador García, David Camacho:
Explainable Artificial Intelligence for Deepfake Detection: Pipeline, Open Source and Comparisons. - Hsiao-Ting Tseng, Meng-Hua Hsu, Chih-Yun Tsai, Chia-Lun Lo:
ELDER - MATCH : A Personality-Aware Expert System for Elderly Social Connection Through AI -Powered Social Robots. - Saleh Alhazbi:
Pedagogically-Informed Behavioural Learning Analytics: An Expert Approach to Predicting at-Risk Students. - Andrew Fisher, Lucas Moreira, A. H. M. Muntasir Billah, Pawan Lingras, Vijay Mago:
Jointly Trained Automation of Explainable Construction Material Knowledge. - Yilin Zhang, Zhuocheng Wu, Yufeng Song, Fei Wang, Zengren Song, Bo Wang:
Spatial-Frequency Feature Fusion Based Deepfake Detection With Mask Supervision. - Tianyuan Zhang, Audrey Fertier, Frédérick Bénaben:
Metamodel-Powered Social Media Image Processing for Decision Support in Crisis Response. - Xinzhe Li, Qinglong Li, Jaekyeong Kim:
Instruction-Tuned Large Language Models for Review Helpfulness Prediction: An Efficient Fine-Tuning Framework for E-Commerce Review Understanding. - Abdullah Al Siam, Nuruzzaman Faruqui, A. K. M. Azad, Mohammad Ali Moni:
Securing the Unseen: A Comprehensive Exploration Review of AI -Powered Models for Zero-Day Attack Detection. - Eishita Sharma, Naveen Kumar Gondhi, M. Murugappan, Ganesh Naik, Lavanya Murugan:
Toward Effective Sarcasm Detection in Social Media: A Review of Artificial Intelligence-Based Automated Approaches. - Callum Wilson, Massimiliano Vasile:
Generating Stable and Metastable Critical Points in Uncertain Systems via Flow-Based Models. - Ashok Singh Bhandari, Nitin Uniyal, Sukhveer Singh, Abhishek Sharma, Norah Saleh Alghamdi, Gaurav Dhiman:
Heterogeneous Component Mixing With Cold Standby for Optimising Reliability and Redundancy. - Mingwei Tang, Shiqi Qing, Aihua Li, Qi Tang:
An Enhanced Graph Attention Aggregation Network With Multi-Level Syntactic and Semantic Prompts for Aspect-Based Sentiment Triple Extraction. - Yuangang Qin, Haitao Zheng, Leilei Chang:
Nested Interior-Exterior Optimisation for Explainable Autonomous Complex Systems Modelling Using Cross-Clustered Migration and Cooperative Learning. - Muhammad John Abbas, Muhammad Attique Khan, Veena Dillshad, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Ali Alamer, Yunyoung Nam, Amir Hussain:
A Novel Multistage Attention-Enhanced Mixture of Experts Model for Alzheimer's Disease Diagnosis. - Correction to 'An Improved Reinforcement Learning Approach for Sustainable 6G UAV Communications'.
Volume 43, Number 4, 2026
- Ya-nan Han, Zongxia Jiao, Xiao-chao Liu, Pengyuan Qi:
Online Continual Learning via the Feature Enhancement Network. - Daoyong Fu, Xiangtong Wang, Fangrui Wu, Songchen Han, Binbin Liang, Wei Li, Ke Yang:
Multi-Task Learning for Airport Surface Surveillance: A Review. - Shuangbao Zhang, Quan Cheng:
A Chinese Chemical Fire Named Entity Recognition Model Incorporating Text Hierarchical Structure Features and Multi-Head Attention Mechanisms. - Wenlong Zha, Mingtao Zhou, Juxiang Zhou, Jianhou Gan, Di Wu:
KPTUltra : Dual-Enhanced Knowledgeable Prompt Tuning for Few-Shot Text Classification in Low-Resource Scenarios. - Xiaodong Xie, Jie Wu, Jianting Tang, Yongxiang Sheng:
Multimodal Deep Learning for Online Review Helpfulness Prediction. - Silvia García-Méndez, Francisco de Arriba-Pérez, Julen Beiro-suso, Francisco Javier González-Castaño:
Real-Time Anxiety and Depression Detection by Combining Large Language Models and Machine Learning With Explainability Capabilities on a User-Centric, Engaging Conversational Assistant. - Esther Villar-Rodriguez, Eneko Osaba, Izaskun Oregi, Sebastián V. Romero, Julián Ferreiro-Vélez:
On the Transfer of Knowledge in Quantum Algorithms. - Issue Information.
- Pedro Oliveira, Afonso Bessa, João Pereira, Sérgio Silva, Maria Salomé Duarte, Dalila Durães, Paulo Novais:
Exploring Transfer Learning's Impact on the Explainability of Deep Learning Models for Wastewater Treatment Plants' Biogas Production.
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