Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Acquiring a customer is expensive. Losing one is even more costly. But companies can build ...

MRI machines rely on massive superconducting magnets and complex software to produce detailed images of our organs and tissues. This video explains how engineers create stable magnetic fields and ...

This repository contains implementations for a series of data warehousing and data mining tasks, divided into two main components: (1) Data warehouse design, ETL processing, and OLAP analysis using ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

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Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...

Please see Part 1 for a list of potential impacts. Similar to M-25-21, M-25-22 also includes rather short time frames to implement several required actions, thus further signaling that the use and ...

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...

Abstract: Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder characterized by memory loss, behavioral changes, and impaired self-care, often preceded by Mild Cognitive Impairment ...