Rock deformation is considered one of the essential rock properties used in designing and constructing rock-based structures, such as tunnels slopes. This study applied two well-established ensemble techniques, including boosting bagging, to artificial neural networks decision tree methods for predicting Young’s modulus material. These techniques were a dataset comprising 45 data samples from m...

BACKGROUND Depression is commonly comorbid with many other somatic diseases and symptoms. Identification of individuals in clusters with comorbid symptoms may reveal new pathophysiological mechanisms and treatment targets. The aim of this research was to combine machine-learning (ML) algorithms with traditional regression techniques by utilising self-reported medical symptoms to identify and de...

This thesis presents an attempt at using multiple event interpretations to enhance the boosted decision tree used in the search for the Standard Model Higgs boson decay to the bb̄ final state at a Higgs mass of mH = 125 GeV with the ATLAS detector, looking in particular at the ZH → llbb̄ process. Recent studies have suggested that using multiple event interpretations offered by constructing jets ...

Boosted decision trees typically yield good accuracy, precision, and ROC area. However, because the outputs from boosting are not well calibrated posterior probabilities, boosting yields poor squared error and cross-entropy. We empirically demonstrate why AdaBoost predicts distorted probabilities and examine three calibration methods for correcting this distortion: Platt Scaling, Isotonic Regre...

Once hardware becomes "intelligent", it is vulnerable to threats. Therefore, IoT ecosystems are susceptible a variety of attacks and considered challenging due heterogeneity dynamic ecosystem. In this study, we proposed method for detecting that based on ML-based approaches release the final decision detect attacks. However, have implemented three as sample in via Contiki OS generate real datas...

The majority of state-of-the-art research employs remote sensing on AGB (Above Ground Biomass) and SOC (Soil Organic Carbon) separately, although some studies indicate a positive correlation between the two. We intend to combine two domains in our improve total carbon estimation. begin by establishing baseline model study area Scotland, using methodologies domains. effects feature engineering t...

OBJECTIVE Although regimens containing two protease inhibitor (PI) together with ritonavir boosting are used with the aim of improving virologic response to salvage therapy, there is little evidence to support or reject this approach. We compared the probability of attaining an undetectable HIV RNA level after using either boosted double or boosted single PI regimens. DESIGN Retrospective cli...

In recent years, a number of works proposing the combination of multiple classifiers to produce a single classification have been reported in remote sensing literature. The resulting classifier, referred to as an ensemble classifier, is generally found to be more accurate than any of the individual classifiers making up the ensemble. As accuracy is the primary concern, much of the research in t...