Big Data are highly effective for systematically extracting and analyzing massive data.It can be useful to manage data proficiently over the conventional data handling approaches.Recently, several schemes have been developed for handling big datasets with several features.At the same time, feature selection (FS) methodologies intend to eliminate re
Micro RNA (miR) are recognized for their important roles in biological processes, particularly in regulatory componentization.Among the miR, miR-150 has been the focus of intense scrutiny, mostly due to its role in malignant tumors.A comparison between steer and bull adipose tissues identified bta-miR-150 as one of the nine downregulated miRNAs, Ma
Abstract The traditional feature-extraction method of oriented FAST and rotated BRIEF (ORB) detects image features based on a fixed threshold; however, ORB descriptors do not distinguish features well in Dental Cement capsule endoscopy images.Therefore, a new feature detector that uses a new method for setting thresholds, called the adaptive thresh
This work presents an in-depth examination of the Carboniferous volcanic reservoir within the CH471 well area, situated in the central portion of the Hongche fault zone on the northwestern margin of the Junggar Basin.Leveraging seismic data and well connection comparisons, we scrutinize the tectonic evolution model and elucidate the impact of the n
This paper presents a meticulous exploration of advanced machine learning techniques for precise forest type classification using multi-temporal remote sensing data within a woodland environment.The study comprehensively evaluates a diverse range of models, ranging Tool Kit from advanced (ensemble) machine learning (ML) methods to several finely tu