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

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

Simulation-to-real generalization for deep-learning-based refraction-corrected ultrasound tomography image reconstruction

Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning

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

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

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

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

Graph Neural Networks for Intelligent Transportation Systems: A Survey

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

Sub-second photon dose prediction via transformer neural networks

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

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

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