This study proposes the use of a Quadruple Deep Q-Network (QDQN) for optimizing the energy management strategy of Plug-in Hybrid Electric Vehicles (PHEVs).The aim of this research is to improve energy utilization efficiency by employing reinforcement learning techniques, with a focus on reducing energy consumption while maintaining vehicle performa
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
Satellite cells (SCs) represent a distinct lineage of myogenic progenitors responsible for the postnatal growth, repair and maintenance of skeletal muscle.Distinguished on the basis of their unique position in Baby Play Mat mature skeletal muscle, SCs were considered unipotent stem cells with the ability of generating a unique specialized phenotype
This research is an analysis of an animation movie by Walt Disney Animation Studios entitled Zootopia.The story of Zootopia, just like other animation movies which can be generalized as intended for children.It contains a positive message which can be seen from the tagline of this movie; “This is Zootopia.Anyone can be Anything”.However, this r
Howard S KirshnerDepartment of Neurology, Vanderbilt University Medical Center, Nashville, TN, USAAbstract: Frontotemporal dementias are neurodegenerative diseases in which symptoms of frontal Pre-Rolled and/or temporal lobe disease are the first signs of the illness, and as the diseases progress, they resemble a focal left hemisphere process such