Estimating PV Curtailed Power as a Voltage Support Service using Data-Driven Approaches

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

Understanding and predicting the occurrence of void street interfaces

Supervised machine learning in microfluidic impedance flow cytometry for improved particle size determination

A Multiclass Classification Model for Tooth Removal Procedures

Siamese Convolutional Neural Networks to Quantify Crack Pattern Similarity in Masonry Facades

Home‐Based Measurements of Dystonia in Cerebral Palsy Using Smartphone‐Coupled Inertial Sensor Technology and Machine Learning: A Proof‐of‐Concept Study

Smart Redundancy Schemes for ANNs against Fault Attacks

Machine Learning-Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions

Large scale inverse design of planar on-chip mode sorter

Baseband-Function Placement with Multi-Task Traffic Prediction for 5G Radio Access Networks

'Project smells' - Experiences in Analysing the Software Quality of ML Projects with mllint

Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

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

Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models

Multiparametric ultrasound and machine learning for prostate cancer localization

PLIS: A metabolomic response monitor to a lifestyle intervention study in older adults

A Learning-Based Optimization Approach for Autonomous Ridesharing Platforms with Service-Level Contracts and On-Demand Hiring of Idle Vehicles

A human-centric machine learning based personalized route choice prediction in navigation systems

A Data-Driven Method for Identifying Drought-Induced Crack-Prone Levees Based on Decision Trees