Background Knee osteoarthritis (OA) is the most common joint disease of adults worldwide.
Since the treatments for advanced radiographic knee OA are limited, clinicians face a …

Detecting promising technology groups for recombination holds the promise of great value
for R&D managers and technology policymakers, especially if the technologies in question …

Materials and Methods: Patient epicrisis reports obtained from the Pasteur Laboratory in the
north of Iran were used. All 175 samples have twenty features. The features are classified …

The Back-propagation (BP) training algorithm is a renowned representative of all iterative
gradient descent algorithms used for supervised learning in neural networks. It is designed …

With the always increasing amount of image data, it has become a necessity to automatically
look for and process information in these images. As fashion is captured in images, the …

In training artificial neural networks, Backpropagation has been frequently used and known
to provide powerful tools for classification. Due to its capability to model linear and non …

Due to the importance of accurate analysis of bearing capacity in civil engineering projects,
this paper studies the efficiency of two novel metaheuristic-based models for this objective …

In this study, we propose a new genetic algorithm that uses a statistical-based chromosome
replacement strategy determined by the empirical distribution of the objective function …

This paper presents an empirical study for human behavior analysis based on three distinct
feature extraction techniques: Histograms of Oriented Gradients (HOG), Local Binary Pattern …

The single multiplicative neuron model has been frequently used by researchers in recent
years, as it does not have a complex structure and does not include the hidden layer unit …