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Robotics & Machine Learning Daily News

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    University of Science and Technology of China Reports Findings in Machine Learni ng (A Machine Learning Approach for Efficiently Predicting Polymer Aging from UV -Vis Spectra)

    29-29页
    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 th e subject of a report. According to news reporting originating in Anhui, People’ s Republic of China, by NewsRx journalists, research stated, “This research has introduced an innovative approach that proficiently forecasts the alterations in ultravioletvisible spectroscopy (UV-Vis) of polymer solutions during the aging effect. This method combines readily accessible feature descriptors with classi cal machine learning (ML) algorithms.”

    New Machine Learning Findings from University of North Dakota Described (Progres s of Gas Injection EOR Surveillance in the Bakken Unconventional Play-Technical Review and Machine Learning Study)

    29-30页
    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 artificial intelligence. According to news originating from Grand Forks, North D akota, by NewsRx correspondents, research stated, “Although considerable laborat ory and modeling activities were performed to investigate the enhanced oil recov ery (EOR) mechanisms and potential in unconventional reservoirs, only limited re search has been reported to investigate actual EOR implementations and their sur veillance in fields.”

    Department of Obstetrics and Gynecology Reports Findings in Endometrial Cancer ( Magnetic resonance imaging-based radiomics model for preoperative assessment of risk stratification in endometrial cancer)

    30-31页
    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 - Endometrial Cancer is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Preoperative ri sk stratification is significant for the management of endometrial cancer (EC) p atients. Radiomics based on magnetic resonance imaging (MRI) in combination with clinical features may be useful to predict the risk grade of EC.”

    Faculty of Computer Science Reports Findings in Personalized Medicine (Machine l earning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news originating from Moscow, Russia, by NewsRx correspondents, research stated, “The development of prognostic models for the identification of high-risk myocardial infarction (MI) patients is a crucial step toward personalized medicine. Genetic factors ar e known to be associated with an increased risk of cardiovascular diseases; howe ver, little is known about whether they can be used to predict major adverse car diac events (MACEs) for MI patients.”

    Study Findings from University of Science and Technology Provide New Insights in to Robotics (Benchmark for Multi-agent Pickup and Delivery Problem In a Robotic Mobile Fulfillment System)

    33-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics. A ccording to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “The Robotic Mobile Fulfillment System (RMFS) is a ‘g oods-to-worker’ system that utilizes pods to store goods and employs robots for pods movement. In the RMFS, the multi-agent pickup and delivery (MAPD) problem w hich robots complete pickup and delivery tasks and ensure that there are no conf licts has been extensively studied.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Key R&D Program of China.

    Reports from University of California Los Angeles (UCLA) Provide New Insights in to Machine Learning (Nonlinear Wave-particle Interaction Effects On Radiation Be lt Electron Dynamics In 9 October 2012 Storm)

    34-35页
    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 th e subject of a report. According to news reporting originating in Los Angeles, C alifornia, by NewsRx journalists, research stated, “We study the geomagnetic sto rm of 9 October 2012, where it had been generally accepted that the resulting pr ominent outer radiation belt electron acceleration throughout the storm is due t o whistler-mode chorus waves. This storm has been studied previously by two-dime nsional Fokker-Planck numerical simulations with data-driven quasi-linear (QL) d iffusion rates.” Funders for this research include National Science Foundation (NSF), National Ae ronautics & Space Administration (NASA).

    Poznan University of Technology Reports Findings in Machine Learning (Ligand Ide ntification using Deep Learning)

    35-35页
    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 th e subject of a report. According to news reporting originating in Poznan, Poland , by NewsRx journalists, research stated, “Accurately identifying ligands plays a crucial role in the process of structure-guided drug design. Based on density maps from Xray diffraction or cryogenic-sample electron microscopy (cryoEM), sc ientists verify whether small-molecule ligands bind to active sites of interest. ”

    Researchers from Chongqing University Describe Findings in Robotics (A Flexible Capacitive Pressure Sensor With a Hybrid Porous Pdms/sa Hydrogel Structure for T ouch/pain Detection)

    36-37页
    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 Robotics have been published. According to news originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Exploring highly sensitiv e flexible electronic skins (e-skins) that can mimic the tactile and pain percep tion of human skin is an important prerequisite for achieving biomimetic robots and intelligent prosthetics. However, it is still difficult to realize both touc h and pain sensing using a single pressure sensor.”

    Research on Robotics Reported by Researchers at Mechanical and Electrical Engine ering College [Avoiding Dense Pedestrian Regions: A New Rapid ly-Exploring Random Tree (RRT ) Algorithm for Shortest Travel Time]

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in robotics. Accordin g to news originating from Mechanical and Electrical Engineering College by News Rx editors, the research stated, “Currently, regardless of the algorithm used, m otion planners for dealing with dynamic obstructions need to rely on high-precis ion sensors and high performance processors.”

    Researchers from Shanghai University Provide Details of New Studies and Findings in the Area of Machine Learning (Partial Solutionguided Machine Learning Enhan ced the Impact Resistance Analysis of Prestretched Graphenes)

    38-38页
    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 have been published. According to news originating from Shanghai, People’s R epublic of China, by NewsRx correspondents, research stated, “This study aims to investigate the effect of prestretching on a graphene’s ballistic limit velocit y under impact loading, which is the maximum impact velocity that graphenes can withstand without being penetrated by a bullet. Molecular dynamics simulations a nd machine learning were employed to analyze the ballistic limit velocity of gra phenes under various prestretching conditions.”