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

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

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

The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA

Graph Neural Networks for Intelligent Transportation Systems: A Survey

Deep Learning for Size-Agnostic Inverse Design of Random-Network 3D Printed Mechanical Metamaterials

Predicting streamflow with LSTM networks using global datasets

DeepEgo: Deep Instantaneous Ego-Motion Estimation Using Automotive Radar

Automated assessment of human engineered heart tissues using deep learning and template matching for segmentation and tracking

SoK: Deep Learning-based Physical Side-channel Analysis

A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy

Learning image representations for content-based image retrieval of radiotherapy treatment plans

Label Correlation in Deep Learning-Based Side-Channel Analysis

Design knowledge graph-aided conceptual product design approach based on joint entity and relation extraction

The Role of Water Vapor Observations in Satellite Rainfall Detection Highlighted by a Deep Learning Approach

Convolutional neural network framework for wind turbine electromechanical fault detection

Toward Improved Real-Time Rainfall Intensity Estimation Using Video Surveillance Cameras