Abstract: To address the unacceptable dataset collection cost of data-driven models and the nonuniqueness inherent in electromagnetic (EM) inverse design, this work proposes a low-cost data-driven ...
Analytical scenarios highlight that (1) routine insider access creates numerous injection points across health care data infrastructure, (2) federated learning amplifies risks by obscuring attribution ...
Abstract: Virtual monoenergetic images (VMIs), reconstructed from dual-energy CT (DECT) by capturing photon attenuation data at two distinct energy levels, can reduce beam-hardening artifacts and ...
AI-based platforms are transforming how we navigate digital ecosystems. Using artificial intelligence, these platforms analyze vast datasets, enabling personalized content recommendations, enhanced ...
Selenium-based automation testing framework using Java, TestNG, and Maven with support for Smoke, Sanity, Regression, and Master suite execution.
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