Damage Classification of a Bolted Connection using Guided Waves and Explainable Artificial Intelligence

Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach

Artificial Intelligence in Radiotherapy: Probabilistic Deep Learning for Dose Prediction and Anatomy Modeling

ImECGnet: Cardiovascular Disease Classification from Image-Based ECG Data Using a Multi-branch Convolutional Neural Network

Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks

Constructing Health Indicators for Systems with Few Failure Instances Using Unsupervised Learning

Leveraging neural network uncertainty in adaptive unscented Kalman Filter for spacecraft pose estimation

A Multi-Task Learning Based Runoff Forecasting Model for Multi-Scale Chaotic Hydrological Time Series

Predictive Maintenance Planning Using Renewal Reward Processes and Probabilistic RUL Prognostics: Analyzing the Influence of Accuracy and Sharpness of Prognostics

Neural cellular automata for solidification microstructure modelling

Jumping Shift: A Logarithmic Quantization Method for Low-Power CNN Acceleration

Convolutional neural network framework for wind turbine electromechanical fault detection

Toward Improved Real-Time Rainfall Intensity Estimation Using Video Surveillance Cameras

Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis

MNEMOSENE++: Scalable Multi-Tile Design with Enhanced Buffering and VGSOT-MRAM based Compute-in-Memory Crossbar Array

The Human Activity Radar Challenge: Benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University

Physical pooling functions in graph neural networks for molecular property prediction

Digitization of chemical process flow diagrams using deep convolutional neural networks

Monocular Vision-Based Pose Estimation of Uncooperative Spacecraft

How Do Neural Networks Estimate Optical Flow A Neuropsychology-Inspired Study