查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Blood Diseases and Con ditions - Sepsis is the subject of a report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “This study aimed to develop and validate an interpretable machine-learning mode l that utilizes clinical features and inflammatory biomarkers to predict the ris k of in-hospital mortality in critically ill patients suffering from sepsis. We enrolled all patients diagnosed with sepsis in the Medical Information Mart for Intensive Care IV (MIMIC-IV, v.2.0), eICU Collaborative Research Care (eICU-CRD 2.0), and the Amsterdam University Medical Centers databases (AmsterdamUMCdb 1.0 .2).”
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 ro botics. According to news reporting originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “This work proposes a new d ynamic modeling approach that integrates the principle of virtual power and a sp ring-damper-fluid equivalent method.” Financial supporters for this research include Technological Innovation Research And Development Project of Chengdu; Natural Science Foundation of Sichuan Provi nce.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Worcester, Massachusetts, by New sRx correspondents, research stated, “We investigate the dynamics of a magnetoel astic robot with a dipolar magnetic head and a slender elastic body as it perfor ms undulatory strokes and burrows through water-saturated granular beds. The rob ot is actuated by an oscillating magnetic field and moves forward when the strok e amplitude increases above a critical threshold.” Financial support for this research came from National Science Foundation (NSF).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g originating from Chongqing, People’s Republic of China, by NewsRx corresponden ts, research stated, “High-Dimensional and Incomplete (HDI) data are commonly se en in various big-data-related applications concerning the inherent non-negativi ty interactions among numerous nodes. A Non-negative Latent Factor Analysis (NLF A) model performs efficient representation learning to such HDI data.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting out of Mosul, Iraq, by Ne wsRx editors, research stated, “Food products are an essential source of human l ife, so they have a very important place, and it will be important to monitor an d determine their quality in a short time.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting from Sherbrooke, Canada, by NewsRx journalists, research stated, “Collaborative robots are more and more used in applications re quiring robots and humans to work in proximity or direct contact. However, conve ntional collaborative robots powered by servo-geared actuators are intrinsically dangerous due to their high reflected inertia.” Financial support for this research came from Natural Sciences and Engineering R esearch Council of Canada (NSERC).
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 Robotics. According to news reporting from Jinan, People’s Republic of China, by NewsRx journalists, research stated, “This article presents a robust finite-tim e command-filtered backstepping control strategy for flexible-joint robotic syst ems with only position measurements. To the best of our knowledge, this method i s proposed for the first time and applied to the flexible-joint robot (FJR) syst em subject to matched/mismatched disturbances.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on intelligent s ystems have been published. According to news originating from Xihua University by NewsRx editors, the research stated, “Very recently, with the widespread rese arch of deep learning, its achievements are increasingly evident in image inpain ting tasks. However, many existing multi-stage methods fail to effectively inpai nting the larger missing areas, their common drawback is that the result of each stage is easily misguided by the wrong content generated in the previous stage. ”
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 Robotics. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Zero-shot imitation learning has demons trated its superiority to learn complex robotic tasks with less human participat ion. Recent studies show convincing performance under the condition that the rob ot follows the demonstration strictly by the learned inverse model.” Financial support for this research came from National Key Research and Developm ent Program of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news reporting from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Forward kinematics-based modeling approaches are capable of constructing complete kinematic error models for parallel robots in a general way. The existing forward kinematics-based mode ling methods replace multidegrees- of-freedom (multi-DOF) joints with several 1D OF joints, allowing each limb of the parallel robot to be modeled like a serial robot.”
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