Journal of clinical research in pediatric endocrinology
Sep 1, 2015
OBJECTIVE: Hyperthyrotropinemia, which can be either a permanent or a transient state, is an asymptomatic condition and there is a controversy in management and long-term consequences. The aim of this study was to evaluate the results of thyrotropin-...
This paper is concerned with the synchronization dynamical behaviors for a class of delayed neural networks with discontinuous neuron activations. Continuous and discontinuous state feedback controller are designed such that the neural networks model...
BACKGROUND AND AIM OF THE STUDY: An investigation was made as to whether the preoperative aortic annular diameter affects the durability of bicuspid aortic valve (BAV) repair in patients who had undergone concomitant root stabilization with subcommis...
PURPOSE: By integrating intraoperative near infrared fluorescence imaging into a robotic system, surgeons can identify the vascular anatomy in real-time with the technical advantages of robotics that is useful for meticulous lymphovascular dissection...
PURPOSE: To develop a control system to correct both translational and rotational head motion deviations in real-time during frameless stereotactic radiosurgery (SRS).
Robots have transformed many industries, most notably manufacturing, and have the power to deliver tremendous benefits to society, such as in search and rescue, disaster response, health care and transportation. They are also invaluable tools for sci...
Reinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make behavioural decisions. It has been called the artificial in...
BACKGROUND/AIMS: In cases of remnantgastric cancer (RGC) with previous lymphadenectomy, laparoscopic total gastrectomy (LTG) is still uncommon because of the technical difficulties associated with adhesions from previous gastric cancer surgery and va...
PURPOSE: It is an intriguing problem to generate an instantaneous volumetric image based on the corresponding x-ray projection. The purpose of this study is to develop a new method to achieve this goal via a sparse learning approach.
IEEE transactions on neural networks and learning systems
Apr 1, 2015
This paper develops and validates a comprehensive and universally applicable computational concept for solving nonlinear differential equations (NDEs) through a neurocomputing concept based on cellular neural networks (CNNs). High-precision, stabilit...
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