Using Explainable Artificial Intelligence to Improve Transparency of Reinforcement Learning for Online Adaptive Flight Control: Breaking Open the Black Box

Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network

Radar Perception for Autonomous Unmanned Aerial Vehicles: A Survey

Coevolution of machine learning and process-based modelling to revolutionize Earth and environmental sciences: A perspective

Classification of Wheelchair Related Shoulder Loading Activities from Wearable Sensor Data: A Machine Learning Approach

User Scheduling in Massive MIMO: A Joint Deep Learning and Genetic Algorithm Approach

3-D contrast enhanced ultrasound imaging of an in vivo chicken embryo with a sparse array and deep learning based adaptive beamforming

Signal intensity informed multi-coil encoding operator for physics-guided deep learning reconstruction of highly accelerated myocardial perfusion CMR

Datafied Brains and Digital Twins: Lessons From Industry, Caution For Psychiatry

A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography

Millisecond speed deep learning based proton dose calculation with Monte Carlo accuracy

Classifiable Limiting Mass Change Detection in a Graphene Resonator Using Applied Machine Learning

Assessment of Parkinson's Disease Severity from Videos Using Deep Architectures

Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence

Cardiac MR: From Theory to Practice

Prognostics for Electromagnetic Relays using Deep Learning

Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge

Improving automated diagnosis of epilepsy from EEGs beyond IEDs

Detection and Identification of Generator Disconnection Using Multi-layer Perceptron Neural Network Considering Low Inertia Scenario

Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1-weighted dataset