Preventive-corrective contingency control of distribution power grids using convolutional neural networks

A comprehensive comparison between federated and centralizedlearning

Global distribution of muddy coasts using a hybrid classification model: An automated method that employs multispectral satellite imagery and globally available coastal datasets

Investigation of machine learning techniques for wind turbine fault detection using experimental data

Application and extension of a data-driven turbulence modeling method using Machine Learning

Handling the unknown: Towards on-the-job object recognition

Secure Proximity Detection and Verification: Addressing vulnerabilities in IEEE 802.15.4z UWB

Assessing the Impact Damage Risk on Composite Structures: A method of predicting impact damage risk on composite aircraft fuselage by combining probability of detection and a decision risk matrix

Code Smells & Software Quality in Machine Learning Projects

Advecting Superspecies: Reduced order modeling of organic aerosols in LOTOS-EUROS using machine learning

Near-Realtime Low Power Epileptic Seizure Detection Using ANNs

Network intrusion prediction model using external data

Deep Just-in-Time Defect Prediction at Adyen

Machine learning based time-series postprocessing for the interferometric SAR remote sensing data

#Hashtags as a Means for Political Action: Exploring the Impact of Hashtag Activism on Political Processes Using Geolocated Social Media Data

Measuring the quality of publicly available synthetic IDS datasets: A comparative study

Prediction models for adverse outcomes in Covid-19 patients

FATE: Fuzzing for Adversarial examples in Tree Ensembles

PINN inspired Freeform Design: Using Fraunhofer Diffraction to find Freeforms described by B-spline Surfaces

Applying Constraint Programming To Enterprise Modelling