Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Jason Zhang"'
Autor:
Junchen Jin, Yanhao Huang, Fei-Yue Wang, Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Jun Jason Zhang
Publikováno v:
Neurocomputing. 467:300-309
Deep Reinforcement Learning (DRL) has proven its capability to learn optimal policies in decision-making problems by directly interacting with environments. Meanwhile, supervised learning methods also show great capability of learning from data. Howe
Publikováno v:
An International Journal on Information Fusion
The sudden increase in coronavirus disease 2019 (COVID-19) cases puts high pressure on healthcare services worldwide. At this stage, fast, accurate, and early clinical assessment of the disease severity is vital. In general, there are two issues to o
Publikováno v:
International Journal of Intelligent Systems
The goal of diagnosing the coronavirus disease 2019 (COVID‐19) from suspected pneumonia cases, that is, recognizing COVID‐19 from chest X‐ray or computed tomography (CT) images, is to improve diagnostic accuracy, leading to faster intervention.
Publikováno v:
Journal of Vascular Surgery Cases and Innovative Techniques, Vol 7, Iss 1, Pp 113-116 (2021)
Journal of Vascular Surgery Cases and Innovative Techniques
Journal of Vascular Surgery Cases and Innovative Techniques
In the present case report, we have described a patient with bilateral renal artery occlusion resulting in the acute onset of refractory hypertension and renal failure requiring hemodialysis. Endovascular stenting of the renal arteries was not feasib
Publikováno v:
Journal of Clinical Pharmacology
Nivolumab 240 mg every 2 weeks is approved in China by the National Medical Product Agency for squamous cell carcinoma of the head and neck and gastric cancer, based on population pharmacokinetic (PPK) analyses and benefit‐risk assessment of safety
Autor:
Haodi Zhang, Aslan B. Wong, Chen Jason Zhang, Jiasheng Yang, Kaishun Wu, Wanmin Lian, Hao Ren, Weibin Cheng, Qingfeng Liu, Ying Zhang, Jianwei He
Publikováno v:
IEEE Access, Vol 9, Pp 95872-95883 (2021)
With the rapid development of AI techniques, Computer-aided Diagnosis has attracted much attention and has been successfully deployed in many applications of health care and medical diagnosis. For some specific tasks, the learning-based system can co
Autor:
T. S. Rangarajan, Pui Yi Lau, Jun Jason Zhang, Mohammad Alhassoun, Gisele Bennett, Bassiri-Gharb Nazanin, Gregory D. Durgin, Yidong Li, Shahriar Mirabbasi, Francesco Amato, Fei-Yue Wang, Christopher R. Valenta
Publikováno v:
IEEE Journal of Radio Frequency Identification. 4:170-175
This article summarizes the history and present state of the IEEE Council on Radio-Frequency Identification (CRFID). The aim, scope, and achievement of CRFID on technical & academic activities, publications, and membership services & education are hi
Autor:
Ann C. Gaffey, Lee R. Goldberg, Pavan Atluri, Christian A. Bermudez, Jason Zhang, Jennifer J. Chung, Carol W. Chen, Michael A. Acker, Bryan J. Auvil
Publikováno v:
Journal of Cardiac Failure. 26:522-526
Background Heart transplant volume varies significantly among centers. We hypothesized that centers where the transplant team routinely accepts organs previously declined by other centers and where operating room availability is unrestricted have hig
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 7, Pp 320-328 (2020)
This paper presents a novel methodology to control HVAC system and minimize energy cost on the premise of satisfying power system constraints. A multi-agent architecture based on game theory and reinforcement learning is developed so as to reduce the
Publikováno v:
IEEE Transactions on Computational Social Systems. 6:1369-1372
The Internet of Things (IoT) is expected to connect a massive number of smart devices to the Internet. The existing centralized architecture for handling the huge volume of data created in the IoT is facing many research challenges, including securit