查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting from Leipzig, Germany, by New sRx journalists, research stated, “The aim of this study was to investigate the potential of novel automated machine learning (AutoML) in vascular medicine by d eveloping a discriminative artificial intelligence (AI) model for the classifica tion of anatomical patterns of peripheral artery disease (PAD).Material and meth ods Random open-source angiograms of lower limbs were collected using a web-inde xed search. An experienced researcher in vascular medicine labelled the angiogra ms according to the most applicable grade of femoropopliteal disease in the Glob al Limb Anatomic Staging System (GLASS).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning - Support Vector Machines. According to news reporting out of B eijing, People's Republic of China, by NewsRx editors, research stated, “In this paper, a robust gain-scheduled path following controller for automated vehicles based on learning methods is presented. Two major challenges are overcome:1) Va rying longitudinal velocity, uncertain cornering stiffness, and unmodelled uncer tainties make dynamic-model-based controller design work complex. 2) Driving sce nario changes deteriorate path following controller performance.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Hangzhou, Peop le's Republic of China, by NewsRx editors, research stated, “In this work, for the first time, a machine learning behavioral modeling methodology based on gate recurrent unit (GRU) is developed and used to model and then analyze the kink ef fects (KEs) in the output reflection coefficient $(S_{ 22})$ and the short-circuit current gain $ (h_{21})$ of an advanced mi crowave transistor.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Gastric Can cer is the subject of a report. According to news reporting originating from Ens hi, People's Republic of China, by NewsRx correspondents, research stated, “Alth ough accurately evaluating the overall survival (OS) of gastric cancer patients remains difficult, radiomics is considered an important option for studying prog nosis. To develop a robust and unbiased biomarker for predicting OS using machin e learning and computed tomography (CT) image radiomics.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting originating in Shenzhen, People's Republic of China, by NewsRx journalists, research stated, “Adaptive visual servoing base d on a depth-independent interaction matrix is effective for uncalibrated robot visual servoing when both the intrinsic and extrinsic parameters of a camera are unknown. But current results on this topic omit the analysis of parameter conve rgence that is beneficial to improving the overall performance and robustness of robot control systems.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Tianjin, People 's Republic of China, by NewsRx editors, research stated, “Research on artificia l intelligence for brain injury is currently a prominent area of scientific rese arch. A significant amount of related literature has been accumulated in this fi eld.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Robotics. According to news originating from Jinan, People's Republic of China, by NewsRx correspondents, research stated, “Robotic grinding based on point cloud data is considered an alternative solution for efficient and intelligent machini ng of complex components by virtue of its flexibility, intelligence, and cost ef ficiency, particularly in comparison with the current mainstream manufacturing m odes. Over the past two decades, the development of robotic grinding techniques based on point cloud data has evolved from an independent measurement and machin ing operation to an integrated machining' approach.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Support Vector Machines is the subject of a report. According to news reporting originating from Nanjing, People' s Republic of China, by NewsRx correspondents, research stated, “Semisupervised support vector machine ((SVM)-V-3) is a powerful semisupervised learning model t hat can use large amounts of unlabeled data to train high-quality classification models. The choice of kernel parameters in the kernel function determines the m apping between the input space and the feature space and is crucial to the perfo rmance of the (SVM)-V-3.”
查看更多>>摘要：News editors obtained the following quote from the background information supplied by the inventors: “BACKGROUND ART “Conventionally, a desired movement is performed by controlling a control object such as a robot and a plant in previously generated program. For example, in PT L 1 discloses a configuration that includes a CPU which is a robot control secti on, a ROM in which a program for controlling the robot is stored, and a RAM in w hich a program written in a robot language for executing the operation of the robot.”
查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the following quote: “Customers expect increasingly seamless and conveni ent service from companies they interact with, but frequently dislike needing to wait for customer support or learn how to use a form or website just to fill ou t information. In particular, customers and users have an ever-increasing number of communications channels through which they communicate with friends, family, businesses, and organizations, but frequently do not have the option of getting assistance for certain matters through the communications channels they use mos t often.”
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