Accurate and rapid detection of potato surface defects is crucial for advancing intelligent potato sorting.To elevate detection accuracy as well as shorten the computational load of the model, this paper proposes a lightweight Flaw-YOLOv5s algorithm for potato surface defect detection.Firstly, Depthwise Separable Convolution (DWConv) is used to dis
Objective: The research question of our study was to determine the adoption and use of mobile devices and online services by veterinary students.Background: New technologies support learning, communication and information transfer during the pre-professional years and the professional lifetime.Hence, mobile devices may also be a feasible tool for i
Preoperative anxiety (POA) is a concern for children undergoing surgery, especially with general anesthesia.POA can result in many postoperative problems, such as physical, psychological, and financial problems.Nonpharmacological treatments have been investigated for reducing POA as they are more pleasant and have fewer adverse effects compared to
The need for robust unsupervised anomaly detection in streaming data is increasing rapidly in the current era of smart devices, where enormous data are gathered from numerous sensors.These sensors record the internal state of a machine, the external environment, and the interaction of machines with other machines and humans.It is of prime importanc