A random forest algorithm was then applied to construct a binary classification model based on the data obtained from the two groups. Conclusion: The bundled assessment, which includes cognitive, eye ...

Abstract: The robot industry is developing rapidly, and how to control the redundant manipulators precisely and effectively has become a new hot topic in industry’s development. In recent years, many ...

To address this need, WWT created our Data Maturity Model. This framework assists organizations in evaluating their current data capabilities and processes, charting a path toward higher levels of ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

In this paper, we propose Gram, a large general EEG model for raw EEG data classification and reconstruction tasks. Gram consists of two stages. 1) The initial stage quantizes raw EEG patches into ...

The ATT&CK Data Model (ADM) is a TypeScript library that provides a structured way to interact with MITRE ATT&CK datasets. It uses Zod schemas, TypeScript types, and ES6 classes to create a type-safe, ...

and necessary precautions required to the protect university data. This policy provides a classification framework based on relevant legal and regulatory requirements to which the university is ...

For each isolate, the presence/absence of a variant was represented by a binary ... in the data that contribute to predictions. After selecting one such feature, the importance of other correlated ...