An experiment was conducted to investigate the effects of dietary nanoselenium supplementation at 0, 0.6 and 1.2 mg/kg of diet on growth performance, serum biochemical parameters, …
Objective The problem of identifying, in advance, the most effective treatment agent for various psychiatric conditions remains an elusive goal. To address this challenge, we investigate …
The magnetic flux leakage (MFL) technique, commonly used for nondestructive testing of oil and gas pipelines, involves the detection of defects and anomalies in the pipe wall and the …
Spontaneous or informal settlements are accounted as one of the main problems in cities especially in local levels. On this basis, the type, nature and process of possible interventions …
OBJECTIVE: To investigate whether applying advanced machine learning (ML) methodologies to pre-treatment electroencephalography (EEG) data can predict the response to …
Convolutional Neural Networks (CNN) have demonstrated its successful applications in computer vision, speech recognition, and natural language processing. For object recognition, …
This study was conducted to investigate the effects of grape (Vitis vinifera) pomace, GP, on growth performance, blood metabolites, immunity, antioxidant status, and intestinal …
Background Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is primarily determined by reported symptomatology. As symptoms may overlap, …
An automated diagnosis procedure based on a statistical machine learning methodology using electroencephalograph (EEG) data is proposed for diagnosis of psychiatric illness. First, …
Objective To develop a machine learning (ML) methodology based on features extracted from odd-ball auditory evoked potentials to identify neurophysiologic changes induced by …