Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach

Low-Power Gesture Recognition Using Convolutional Neural Networks and Ambient Lighting

Recognising Gestures Using Ambient Light and Convolutional Neural Networks: Adapting Convolutional Neural Networks for Gesture Recognition on Resource-constrained Microcontrollers

Using Explainable Artificial Intelligence to Improve Transparency of Reinforcement Learning for Online Adaptive Flight Control: Breaking Open the Black Box

Coevolution of machine learning and process-based modelling to revolutionize Earth and environmental sciences: A perspective

Detection and Identification of Generator Disconnection Using Multi-layer Perceptron Neural Network Considering Low Inertia Scenario

Accelerating finite element analysis using machine learning

Deep Just-in-Time Defect Prediction at Adyen

Detecting Rhyming Words

Emerging Techniques in Cardiac Magnetic Resonance Imaging

Design of a Graph Neural Network: to predict the optimal resolution of the Sonar Performance Model

Investigating Physics-Informed Neural Networks for solving PDEs

Applying Machine Learning to Learn System Dynamics Models for Urban Systems

Application of Deep Learning to Coherent Fourier Scatterometry data

Towards deeper understanding of semi-supervised learning with variational autoencoders

Black Magic in Deep Learning: Understanding the role of humans in hyperparameter optimization

Bayesian Machine Learning in metamaterial design: Fragile becomes supercompressible

Deep Reinforcement Learning for Goal-directed Visual Navigation

Learning the scale of image features in Convolutional Neural Networks

Tuning of Optical Beamforming Networks: A Deep Learning Approach