- Rohan Le Roux, Siavash Khaksar, Mohammadali Sepehri, Iain Murray 0002. A Hybrid Game Engine-Generative AI Framework for Overcoming Data Scarcity in Open-Pit Crack Detection. Machine Learning and Knowledge Extraction, 8(4), 2026.
- Hesham kamal, Maggie Mashaly. Shared Autoencoder-Based Unified Intrusion Detection Across Heterogeneous Datasets for Binary and Multi-Class Classification Using a Hybrid CNN-DNN Model. Machine Learning and Knowledge Extraction, 8(2), 2026.
- Fatemeh Tabatabaei, Hamzeh Khalili. Selective Knowledge Reuse and Adaptive Retraining for Efficient Resource Management in Autonomous Networks. Machine Learning and Knowledge Extraction, 8(5), 2026.
- Aristeidis Karras, Leonidas Theodorakopoulos, Christos N. Karras, Alexandra Theodoropoulou. Towards LLM-Driven Cybersecurity in Autonomous Vehicles: A Big Data-Empowered Framework with Emerging Technologies. Machine Learning and Knowledge Extraction, 8(2), 2026.
- Teresia Ankome, Eisuke Hanada. Reactive to Predictive Mobility Management: A Systematic Review of ML-Driven Handover Optimization in 5G and Beyond. Machine Learning and Knowledge Extraction, 8(5), 2026.
- Jorge Ricardo Marques Duarte, Le Gruenwald, Laurent d'Orazio, Jorge Bernardino. Automatic Index Tuning via Quantum Deep Reinforcement Learning. Machine Learning and Knowledge Extraction, 8(5), 2026.
- Carlos Martínez 0001, Blanca Posada, Olivia Zulaica, Laura Busto, Joaquín Triñanes, César Veiga. KS-VAE: A Novel Variational Autoencoder Framework for Understanding Alzheimer's Disease Progression Using Kolmogorov-Smirnov Guidance. Machine Learning and Knowledge Extraction, 8(4), 2026.
- Zhe-Yu Ye, Junmu Peng, Bing-Qian Lu, Tamotsu Kamishima. Automated Single-Slice Lumbar QCT HU Value Measurement with Clinical Workflow. Machine Learning and Knowledge Extraction, 8(3), 2026.
- Saim Rasheed. Lightweight Deep Learning Models for Face Mask Detection in Real-Time Edge Environments: A Review and Future Research Directions. Machine Learning and Knowledge Extraction, 8(4), 2026.
- Leon Gorissen, Jan Niklas Schneider, Mohamed Behery, Philipp Brauner, Moritz Lennartz, David Kötter, Thomas Kaster, Oliver Petrovic, Christian Hinke, Thomas Gries, Gerhard Lakemeyer, Martina Ziefle, Christian Brecher, Constantin Häfner. Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab. Machine Learning and Knowledge Extraction, 8(5), 2026.