The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …

Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in
different fields of technology and science and have recently been applied to improve …

Recent substantial advances in high-throughput field phenoty** have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …

Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …

For a long time, Cannabis sativa has been used for therapeutic and industrial purposes. Due
to its increasing demand in medicine, recreation, and industry, there is a dire need to apply …

In vitro seed germination of cannabis as the first physiological stage in the plant life cycle is
not only important for studying factors affecting cultivation conditions but also crucial for …

Recent advanced high-throughput field phenoty** combined with sophisticated big data
analysis methods have provided plant breeders with unprecedented tools for a better …

Plant callus is generally considered to be a mass of undifferentiated cells and can be used
for secondary metabolite production, physiological studies, and plant transformation …

Background Paclitaxel is a well-known chemotherapeutic agent widely applied as a therapy
for various types of cancers. In vitro culture of Corylus avellana has been named as a …

Background Optimizing the somatic embryogenesis protocol can be considered as the first
and foremost step in successful gene transformation studies. However, it is usually difficult to …