We present a method for the removal of movement artifacts from the recordings of electroencephalography (EEG) signals in the context of sports health.We use a smart wearable Internet of Things-based signal recording system to record physiological human signals [EEG, electrocardiography (ECG)] in real time.Then, the movement artifacts are removed us
The application of the combination of unmanned aerial vehicles (UAVs) and artificial intelligence is a hot topic in the intelligent inspection of substations, and meter reading is a very challenging task.This paper proposes a method based on the combination of YOLOv6n object detection and Deeplabv3[Formula: see text] image segmentation and performs
Background: congenital adrenal hyperplasia is the most frequent cause of sexual ambiguity in childhood.Molecular diagnosis is an element to be considered for the management and genetic counseling of patients and relatives at risk.Objective: to identify the I172N mutation, to determine its frequency in the studied population and its possible relatio
Optimizing energy structure is necessary to achieve full decarbonization.In this study, we introduced thermal power, clean Spray wax energy, and traditional fossil energy as three different input factors into the translog production function.We considered three improvement paths of the energy structure, including replacing fossil energy with electr