Analysis of space solar array arc images based on deep learning techniques
Solar array and the tested cellsFigure 2a shows pictures of a solar array sample of cells used in the experimental simulation....
techniques
Prognosis of air quality index and air pollution using machine learning techniques
This research has progressed through three main stages. The first one included preparing and processing air quality parameters. The second...
Effects of self-controlled feedback on learning range of motion measurement techniques and self-efficacy among physical therapy students: a preliminary study | BMC Medical Education
Boyer KA, Johnson RT, Banks JJ, Jewell C, Hafer JF. Systematic review and meta-analysis of gait mechanics in young and...
Developing a nomogram model for predicting non-obstructive azoospermia using machine learning techniques
Study population and observational indexA retrospective study was conducted on 352 patients diagnosed with azoospermia, collected by the Department of...
Multifactor prediction model for stock market analysis based on deep learning techniques
In addition to the case study, this section describes certain metrics associated with the proposed model’s processing outcomes. This includes...
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
Digital pathologyThere are multiple areas within the field of digital pathology where AI/ML is being explored. Key applications include automation...
