New targets build on copper mineralization drilled in 2025 , including 14.4 m at 0.44% Cu (including 0.9 m at 2.10% Cu and 1.5 m at 0.37 g/t Au) in hole AZ25-001, expanding the Property-scale ...
Sable Resources Ltd. ("Sable" or the "Company") (TSXV:SAE | OTCQB:SBLRF) is pleased to announce that it has received results ...
In this paper, we consider a skew-generalized inverse Weibull probability distribution for repetitive acceptance sampling plans based on truncated life tests with known shape parameter. The design ...
PCWorld’s guide helps users navigate the overwhelming choice of approximately 250 Linux distributions by focusing on five main strains: Debian, Red Hat/Fedora, Arch, Slackware, and Gentoo.
Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...
This article addresses the high time and cost associated with life testing by proposing a repetitive acceptance sampling plan for time-truncated life tests, specifically for the Exponentiated Frechet ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
The acceptance sampling plan (ASP) is a statistical tool used in industry for quality control to determine the quality of products by selecting a specified number for testing in order to accept or ...
The Central Limit Theorem is a statistical concept applied to large data distributions. It says that as you randomly sample data from a distribution, the means and standard deviations of the samples ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training stages: pre-training on large ...