This article reviews optimization methods that enhance adaptability, efficiency and decision
making in modern manufacturing, emphasizing the transformative role of artificial …

Background and Purpose: This study assessed the predictive performance and relative
importance of clinical, multimodal imaging, and angiographic characteristics for predicting …

Abstract Unmanned Aerial Vehicles (UAVs) have been gaining popularity in various
commercial, civilian, and military applications due to their efficiency and cost-effectiveness …

Simple Summary Breast cancer is prevalent in women and the second leading cause of
death. Conventional breast cancer detection methods require several laboratory tests and …

Aircraft delays lead to safety concerns and financial losses, which can propagate for several
hours during extreme scenarios. Develo** an efficient landing scheduling method is one …

We introduce a novel way to combine boosting with Gaussian process and mixed effects
models. This allows for relaxing, first, the zero or linearity assumption for the prior mean …

The ELVD (Ensemble-based Lenet VGGNet and DropoutNet) model is used in this paper to
examine hypothetical principles and theoretical identification of a real-time image …

Latent Gaussian models and boosting are widely used techniques in statistics and machine
learning. Tree-boosting shows excellent prediction accuracy on many data sets, but …

Effective crop monitoring and accurate yield estimation are fundamental for informed
decision-making in agricultural management. In this context, the present research focuses …

This research seeks to elucidate the intricate interplay between soil characteristics and the
rates of radon surface exhalation rate. To achieve this aim, Light Gradient Boosting Machine …