In this study, four machine learning (ML) algorithms, namely Support Vector Machine (SVM),
Back-propagation Artificial Neural Network (BP-ANN), Adaptive Boosting (AdaBoost), and …

Many individual studies in the literature observed the superiority of tree-based machine
learning (ML) algorithms. However, the current body of literature lacks statistical validation of …

Importance Machine learning tools are increasingly deployed for risk prediction and clinical
decision support in surgery. Class imbalance adversely impacts predictive performance …

This article provides an insightful review of the recent applications of machine learning (ML)
techniques in additive manufacturing (AM) for the prediction and amelioration of mechanical …

DNS tunnels, due to their versatility and concealment, have become a preferred method for
attackers to execute Command and Control (C&C) attacks, posing a significant security …

We demonstrate a Sn-doped monoclinic gallium oxide (β-Ga2O3)-based deep ultraviolet
(DUV) phototransistor with high area coverage and manufacturing efficiency. The threshold …

During the COVID-19 pandemic, the analysis of patient data has become a cornerstone for
developing effective public health strategies. This study leverages a dataset comprising over …

The soil water retention curve (SWRC) provides information for a wide range of
geoenvironmental problems, such as analyses of transient two-phase flow, the bearing …

This study investigated the robustness and stability of three image data preprocessing
techniques (Geometric, Gaussian Noise and Random Color Space transformations) in …

Deze thesis onderzoekt de uitlegbaarheid van deep neural networks (DNNs) door
veranderingen in data en architectuur te vergelijken. De studie richt zich op neurale …