A Review of Automatic Classification of Drones Using Radar: Key Considerations, Performance Evaluation and Prospects

Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach

Damage Classification of a Bolted Connection using Guided Waves and Explainable Artificial Intelligence

Interference Mitigation for Automotive FMCW Radar Based on Contrastive Learning With Dilated Convolution

Real-World Applications of Artificial Intelligence in Architecture

Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica

Control of Multi-Degree-of-Freedom Catheters in Unknown Environments: Exploring the Potential of Deep Learning and Augmented Reality

Classification of Human Activities with Distributed Radar Systems

Counting People in a Group in Outdoor Scenarios using mm-wave Radar

Wind Power Ramps: Characterisation, Forecasting and Future Projection

Expensive Optimization with Model-Based Evolutionary Algorithms Applied to Medical Image Segmentation Using Deep Learning

Multimodal Input-Dependent Object Query Initialization for LiDAR-Camera 3D Object Detection with Transformers

Vision-guided object pose estimation for robotic pushing in real-time

Design and Interpretation of a Convolutional Neural Network Architecture for Imaging Mass Spectrometry Data

Low-Power Gesture Recognition Using Convolutional Neural Networks and Ambient Lighting

High-frame-rate volumetric ultrasound imaging using dedicated arrays and deep learning

Meta-Learning with label noise: A step towards label few-shot meta-learning with label noise.

Artificial Intelligence in Radiotherapy: Probabilistic Deep Learning for Dose Prediction and Anatomy Modeling

Forecasting of SARS-Cov-2 Infections within Dutch Municipalities using Spatio-Temporal Graph Neural Networks

The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna