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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
A Review of Automatic Classification of Drones Using Radar: Key Considerations, Performance Evaluation and Prospects
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
Predicting streamflow with LSTM networks using global datasets
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