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    New Findings from Northwestern Polytechnic University in the Area of Support Vec tor Machines Described (Pattern Recognition of Hand Movements Based On Multi-cha nnel Mechanomyography In the Condition of One-time Collection and Sensor Doffing and ...)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning - Support Vector Machines. Accordingto news reporting from Xi’an, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Patternclassi fication of hand movements based on mechanomyography (MMG) has specific applicat ion valuein the development of human-machine interaction and wearable devices. In the condition of one-timecollection, high classification accuracy can be acq uired.”

    Researchers from Narula Institute of Technology Detail New Studies and Findings in the Area of Pattern Recognition and Artificial Intelligence (Detection of Den se Built-up Area In Low-resolution Satellite Images Using Deep Learning and Dbsc an ...)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Pattern Recognition andArtificial Intelligence. According to n ews reporting from West Bengal, India, by NewsRx journalists,research stated, “ Recent developments in satellite image processing tend to eliminate the need for intensiveon-site surveys of urban or rural areas for infrastructure allocation planning. In particular, the detection ofbuildings in satellite images can sig nificantly aid in rural or urban planning.”

    New Findings from University of Texas Health Science Center Houston Describe Adv ances in Machine Learning (Natural language processing of clinical notes enables early inborn error of immunity risk ascertainment)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting originating from the Uni versity of Texas Health Science Center Houston by NewsRx correspondents,researc h stated, “There are now approximately 450 discrete inborn errors of immunity (I EI)described; however, diagnostic rates remain suboptimal. Use of structured he alth record data has provenuseful for patient detection but may be augmented by natural language processing (NLP).”

    New Machine Learning Data Have Been Reported by Researchers at Huazhong Agricult ural University (Discriminating Milk Storage Time With Mid-infrared Spectra Comb ined With Machine Learning)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating from Wuhan, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “Classificat ion models for rapid discrimination of milk storage time were developed. Buffalo rawmilk (BuR) and bovine raw (BoR), pasteurised (BoP) and ultra-high temperatu re sterilised (BUHT) milkwere analysed by mid-infrared (MIR) spectroscopy at di fferent storage times.”

    Findings from Shanghai Jiao Tong University in the Area of Robotics Reported (A Novel Robotic Grasp Detection Framework Using Lowcost Rgb-d Camera for Industri al Bin Picking)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting fromShanghai, People’s Republic of China, b y NewsRx journalists, research stated, “Industrial bin picking is achallenging task as lots of highly reflective and textureless objects are stacked. Previous methods generallypredict gripper configurations or 6-D object pose by expensive industrial 3-D cameras, ignoring the role ofconsumer-grade red, green, blue, d epth (RGB-D) cameras in this task.”

    Data on Diabetes Mellitus Management Reported by Ruo-Ting Sun and Colleagues (Pr oactive Identification of Patients with Diabetes at Risk of Uncontrolled Outcome s during a Diabetes Management Program: Conceptualization and Development Study ...)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nutritional and Metabo lic Diseases and Conditions - DiabetesMellitus Management is the subject of a r eport. According to news reporting out of Purchase, New York,by NewsRx editors, research stated, “The growth in the capabilities of telehealth have made it pos sibleto identify individuals with a higher risk of uncontrolled diabetes and pr ovide them with targeted supportand resources to help them manage their conditi on. Thus, predictive modeling has emerged as a valuabletool for the advancement of diabetes management.”

    Research on Robotics Reported by a Researcher at Hiroshima University (An Admitt ance Controller with a Jerk Limiter for Position- Controlled Robots)

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news reporting from Hiroshima,Japan, by NewsRx journalists, re search stated, “This paper proposes an admittance control scheme forrobots equi pped with joint-level position controllers involving deadtime.”

    New Robotics and Automation Findings Has Been Reported by Investigators at North western Polytechnic University (Rmsc-vio: Robust Multi-stereoscopic Visual-inert ial Odometry for Local Visually Challenging Scenarios)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news reporting originating in Xi’ an, People’s Republic of China, by NewsRx journalists, research stated,“We pres ent a Multi-Stereoscopic Visual-Inertial Odometry (VIO) system capable of integr ating anarbitrary number of stereo cameras, exhibiting excellent robustness in the face of visually challengingscenarios. During system initialization, we int roduce multi-view keyframes for simultaneous processing ofmultiple image inputs and propose an adaptive feature selection method to alleviate the computationalburden of multi-camera systems.”

    University of New South Wales Reports Findings in Machine Learning (Advancing Se rvice Life Estimation of Reinforced Concrete Considering the Coupling Effects of Multiple Factors: Hybridized Physical Testing and Machine Learning Approach)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Sydney, Australia, by NewsRx journalists, research stated, “Chloride-induced corrosion is the primaryfactor that significantly impacts the service life of reinforced concrete structures. T herefore, it is crucial toinvestigate the transportation behavior of chloride i ons within concrete structures to accurately estimatetheir service life.”

    Studies from Southeast University Have Provided New Information about Robotics ( Self-supervised Multi-modal Learning for Collaborative Robotic Grasp-throw)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate throwingskills can expand the pick-and-place ability of a manipulator, which is significant but ch allenging in thefield of robotics. Most existing robotic throwing methods negle ct the mass of an object and air drag, notto mention the effect of a grasp on t he subsequent throw, resulting in inaccurate throws.”