Energy management strategies with prediction message show great potential in optimizing control objectives for fuel cell hybrid vehicles.This paper presents a novelty model-predictive-control based energy management framework for fuel cell commercial vehicle, in which the vehicle mass is firstly introduced as a variable parameter for controller.A v
Europe wants to prepare its businesses and citizens for a sustainable and more prosperous human-centric digital future.The path to the translation into reality of the digital objectives will bring a complement to the existing rights and principles regarding the protection of data and private life, the digital rights of citizens as well as guideline
Introduction: Depression, anxiety, and stress among medical undergraduate students are often underrecognized Home and undertreated.Prolonged online classes in the backdrop of COVID-19 pandemic have resulted in tremendous psychological stress among students.Objective: To assess the prevalence of stress, anxiety and depression among medical students
Clinical treatment of diabetic refractory ulcers is impeded by chronic inflammation and OREGANAL SUPER STRENGTH cell dysfunction associated with wound healing.The significant clinical application of bFGF in wound healing is limited by its instability in vivo.Sulfur has been applied for the treatment of skin diseases in the clinic for antibiosis.We
Artificial Intelligence (AI) in Cyber-Physical Systems allows machine learning inference on acquired data with ever greater accuracy, thanks to models trained with massive amounts of information generated by Internet of Borage Oil Things devices.Edge Intelligence is increasingly adopted to execute inference on data at the border of local networks,