Marine vessel classification and multivariate trajectories forecasting using metaheuristics-optimized extreme gradient boosting and recurrent neural networks
Maritime vessels provide a wealth of data concerning location, trajectories, and speed.
However, while these data are meticulously monitored and logged to maintain course, they …
However, while these data are meticulously monitored and logged to maintain course, they …
Breast cancer diagnosis from histopathology images using deep neural network and XGBoost
Abstract Background and Objective: Globally, breast cancer is one of the most common
diseases among women. As a result of the disadvantages of manual analysis, computer …
diseases among women. As a result of the disadvantages of manual analysis, computer …
Detection of Monkeypox cases based on symptoms using XGBoost and Shapley additive explanations methods
The monkeypox virus poses a novel public health risk that might quickly escalate into a
worldwide epidemic. Machine learning (ML) has recently shown much promise in …
worldwide epidemic. Machine learning (ML) has recently shown much promise in …
[HTML][HTML] Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and …
Global solar radiation (GSR) prediction capability with a reliable model and high accuracy is
crucial for comprehending hydrological and meteorological systems. It is vital for the …
crucial for comprehending hydrological and meteorological systems. It is vital for the …
Diagnosis of parkinson's disease based on voice signals using SHAP and hard voting ensemble method
Parkinson's disease (PD) is the second most common progressive neurological condition
after Alzheimer's. The significant number of individuals afflicted with this illness makes it …
after Alzheimer's. The significant number of individuals afflicted with this illness makes it …
Interpretation of drop size predictions from a random forest model using local interpretable model-agnostic explanations (LIME) in a rotating disc contactor
Drop size is a crucial parameter for the efficient design and operation of the rotating disc
contactor (RDC) in liquid–liquid extraction. The current work focuses on providing local and …
contactor (RDC) in liquid–liquid extraction. The current work focuses on providing local and …
Explainable artificial intelligence to investigate the contribution of design variables to the static characteristics of bistable composite laminates
Material properties, geometrical dimensions, and environmental conditions can greatly
influence the characteristics of bistable composite laminates. In the current work, to …
influence the characteristics of bistable composite laminates. In the current work, to …
Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost
K Tomita, A Yamasaki, R Katou, T Ikeuchi, H Touge… - Diagnostics, 2023 - mdpi.com
An evidence-based diagnostic algorithm for adult asthma is necessary for effective treatment
and management. We present a diagnostic algorithm that utilizes a random forest (RF) and …
and management. We present a diagnostic algorithm that utilizes a random forest (RF) and …
Transformer fault diagnosis method based on incomplete data and TPE-XGBoost
T Wang, Q Li, J Yang, T Xie, P Wu, J Liang - Applied Sciences, 2023 - mdpi.com
Dissolved gas analysis is an important method for diagnosing the operating condition of
power transformers. Traditional methods such as IEC Ratios and Duval Triangles and …
power transformers. Traditional methods such as IEC Ratios and Duval Triangles and …
Predicting and evaluating decoring behavior of inorganically bound sand cores, using XGBoost and artificial neural networks
F Dobmeier, R Li, F Ettemeyer, M Mariadass… - Applied Sciences, 2023 - mdpi.com
Complex casting parts rely on sand cores that are both high-strength and can be easily
decored after casting. Previous works have shown the need to understand the influences on …
decored after casting. Previous works have shown the need to understand the influences on …