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Latency-Aware Orchestration of Microservices in Heterogeneous Kubernetes Clusters Using Reinforcement Learning

Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation

Machine learning prediction model for surgical site infections after major abdominal surgery

Multi‐Agent Reinforcement Learning Driven Dynamic Resource Optimisation in Healthcare Transportation Networks

Quantum differential evolution–optimized deep learning for water quality prediction in smart cities

SecuFL-IoT: an adaptive privacy-preserving federated learning framework for anomaly detection in smart industrial networks

Temporal Dependency‐Aware Trajectory‐Level Behavioural Metric for Exploration in Reinforcement Learning

TemporalFED: A Software Module for Detecting Cyberattacks in Industry 4.0 Time-Series Data Using Decentralized Federated Learning

The effects of informal digital learning, intrinsic motivation, and grit on online learning effort regulation and English achievement

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

Use of Software Engineering methodological support for developing machine learning-based software: A Systematic Mapping Study

Why do students lose the joy of learning? Evidence from engagement, curiosity, and classroom experience

Advancing Quality Education in Architecture: A Comparative Study on Traditional and Digital Learning Approaches

Dyad practice facilitates motor learning in music

General practitioners and general practitioner registrars’ experiences and learning from caring for dying patients: a scoping review

Preferred Learning Mode, Instructor Competence and Tuition Reimbursement: What our Faculty and Students are Telling Us

Investigating the role of a higher-order adjunct question package in supporting learners’ germane cognitive load

Pastoral Care and the Caring Teacher – Value Adding to Enabling Education

A hierarchical motion planning framework optimizing probabilistic roadmap, pure pursuit, and deep reinforcement learning for non-holonomic automated guided vehicles

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

DAGIS Salo cohort profile: a longitudinal and cross-sectional study to identify environmental and individual factors linked to health behaviours, recovery from stress, weight and learning outcomes among Finnish schoolchildren

Incremental learning LSTM for short-term roll forecasting in USVs under varying wave encounter conditions

Securing federated learning: A comparative review of privacy, trust, efficiency, and intrusion detection approaches

YOLO-Starfish: fish object detection learning complex underwater features