WILLOW PARK, Texas, Aug. 18, 2025 /PRNewswire/ -- ProFrac Holding Corp. (NASDAQ: ACDC) ("ProFrac") and Seismos today announced a strategic partnership for the launch of Closed Loop Fracturing, now ...

In this study, we employ a spatial unsupervised classification technique to analyze the spatio-temporal variability of Sea Surface Temperature (SST) in the tropical African zone. The methodology we ...

Abstract: The proposed article aims to apply and compare supervised and unsupervised classification methods on Sentinel-2 imagery, employing the Normalized Difference Water Index (NDWI) to detect the ...

Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...

Objective: This study aims to develop an unsupervised automated method for detecting high-frequency oscillations (HFOs) in intracranial electroencephalogram (iEEG) signals, addressing the limitations ...