Ship operability diagrams are commonly defined based on the seakeeping analysis, showing which course and speed can safely be taken at the sea state to satisfy pre-defined seakeeping limiting values.Although ship operability diagrams are inherently probabilistic, because of the random nature of the environmental loads, their outcome is deterministi
Amidst the rising prevalence of electric vehicles (EV) and the corresponding need for adequate charging infrastructures, this study presents an innovative application of deep learning models to analyze urban traffic.Utilizing the YOLO v3 model, our research focuses on developing a prototype for counting vehicles at an urban roundabout connecting th
Tobacco is an important cash crop and an ideal experimental system for studies of plant-pathogen interactions.Identification of tobacco resistance (R) genes and resistance gene analogs (RGAs) is propitious to elucidate the underlying resistant mechanisms.In recent years, the public tobacco EST (expressed sequence tags) data set, which provides a ri