Abstract: This paper proposes a novel hybrid framework that integrates machine learning (ML) techniques with Sequential Monte Carlo Simulation (SMCS) to enhance the reliability assessment of modern ...
As enterprises increasingly rely on always-on digital platforms, system reliability has emerged as a defining measure of ...
New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
Each hose undergoes repeated pressure cycle testing and temperature stress evaluation to guarantee consistent braking ...
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have emerged as powerful tools with the potential to transform various industries. A recent article published ...
Modern-day corporations face the demand of including technology in their daily operations to enhance performance metrics. However, most companies still face a difficulty in diagnosing failures of ...
Multi-die assemblies are bringing together a variety of materials and processes with distinctly different physical properties, creating significant challenges in manufacturing and packaging that can ...
Purpose: This study aims to assess the reliability of subjective evaluations conducted under two information conditions and to explore the influence of observer expertise on the consistency of ...
Abstract: The electricity-hydrogen integrated energy systems (EH-IESs) are considered the most promising form of energy system configuration. To effectively quantify the reliability levels of EH-IESs, ...
ABERDEEN PROVING GROUND, Md. — Ensuring the reliability of military systems is a critical mission for the U.S. Army, and at the forefront of this effort is the U.S. Army Combat Capabilities ...
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