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Modelling of coupled reservoir and wellbore for energy transition
A hybrid ML-based model for improved detection of IoT botnets
Estimation of conditional CDFs using machine learning
Deep Learning the Dynamics of Mechanical Systems
Uncertainty quantification for tensor network constrained kernel machines: A frequentist and Bayesian approach
On developers’ practices for hazard diagnosis in machine learning systems
Early MPN detection in laboratory setting
The Expressive Power of (Multi)Set-based higher-order Graph Neural Networks
Developing a level-1B qualifiable CNN for in-situ ultrasonic damage classification of aerospace composite structures: An in-depth evaluation on the end-to-end process of developing a data-driven tool
Innovaiting Responsibly: Discovering the Opportunities and Risks of Foundation Models
Two phase implementation of a machine learning (ML) model in demand forecasting for organisations
Sound environment monitoring system in NICU/PICU
Classification of Covert Vowels in Spanish and Dutch: What do brain signals say about inner speech?
The River Rotte Fish Migration Project: A bayesian Network approach for fish habitat suitability
Prediction of the clinical outcome of NMIBC using Artificial Intelligence
Microtubule Detection and Instance Segmentation using Deep Convolutional Neural Networks
Neural-Network Based Thermal Modeling of Small Satellites: A First-Principles Approach
Machine Learning-Assisted Analysis of Energy Consumption Profiles and Efficiency in Uilenstede Campus Buildings: An Analysis of User Energy Profile Patterns and Clustering of Uilenstede Campus Energy Consumption Data
Correcting Global Elevation Models for Canopy and Infrastructure Using a Residual U-Net
Tailoring Attacks To Federated Continual Learning Models
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