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

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

Predicting streamflow with LSTM networks using global datasets

DeepEgo: Deep Instantaneous Ego-Motion Estimation Using Automotive Radar

SoK: Deep Learning-based Physical Side-channel Analysis

Automatic landmark correspondence detection in medical images with an application to deformable image registration

Shape Sensing of Flexible Robots Based on Deep Learning

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

基于注意力机制的城市轨道交通网络级多步短时客流时空综合预测模型

Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing

Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings

Toward automatic generation of control structures for process flow diagrams with large language models

Forecasting infections with spatio-temporal graph neural networks: a case study of the Dutch SARS-CoV-2 spread