The methods and techniques of performance evaluation are always key issues in organizational and academic researches.On the other hand because of the responsibility of DEA models in performance evaluation, many research methods have been developed around this topic in different scientific areas.One of the primary concerns in application of Data Env
Clustering is an unsupervised learning technique used in data mining for finding groups with increased object similarity within but not between them.However, the absence of a-priori knowledge on the optimal clustering criterion, and the strong bias of traditional algorithms towards clusters with Homeopathic a specific shape, size, or density, raise
The order reduction method is an important approach to optimize higher-order binary Markov SLA Battery Charger random fields (HoMRFs), which are widely used in information theory, machine learning and image analysis.It transforms an HoMRF into an equivalent and easier reduced first-order binary Markov random field (RMRF) by elaborately setting the
BACKGROUND: Since the Mud Masks very first outbreak, scientists have been trying to determine the most critical pathogenetic mechanisms for the development of COVID-19 and related complications, analyze individual subpopulations of patients with chronic diseases and develop optimal tactics to combat not only the infection itself but also its acute