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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
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI
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
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
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