Multiple candidates told NDTV that information accessible only to examinees and the exam authority has surfaced on websites ...

Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

This detailed overview explains the technical mechanisms of LC-MS proteomics, including peptide separation, ion generation, ...

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

Results Include 3.6 m @ 14.6 g/t Gold in Deepest Hole at Apollo. Vancouver, British Columbia and Melbourne, Australia–(Newsfile Corp. – December 17, 2025) – Southern Cross G ...

This is the second in a series of discussions with Mike Glass, owner of Orion Technical Solutions, on ensuring data integrity ...

New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...

Research from the forthcoming TBR Writing & Publishing Conference reveals a possible disconnect between writers’ instincts and agent interest in their manuscript, an issue the event is attempting to ...

Abstract: Existing works on data trading often overlook the impact of data freshness on its valuation. This paper explores a fresh data market, where a platform offers data with varying freshness ...

Objective: This study aimed to determine optimal sample sizes and the relationships between sample size and dataset-level characteristics over a variety of binary classification algorithms. Methods: A ...

A breakthrough may be on the horizon for Intel’s Foundry division, as Apple is anticipated to embrace Intel’s 18A-P process for its entry-level MacBook and iPad chips. This move signals a potential ...