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    Durham University Reports Findings in Machine Learning (Development and assessme nt of a machine learning tool for predicting emergency admission in Scotland)

    31-31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 Machine Learning is th e subject of a report.According to news reporting from Durham, United Kingdom, by NewsRx journalists, research stated, “Emergency admissions (EA), where a pati ent requires urgent in-hospital care, are a major challenge for healthcare syste ms.The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and public health planning.”

    Researchers’ Work from Zhejiang University of Technology Focuses on Androids (Mo dular Multilayered Pvc Gel Soft Actuators for Novel Lightweight Humanoid Facial Robot)

    32-32页
    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 - Androids.According to news reporting out of Hangzhou, People’s Republi c of China, by NewsRx editors, research stated, “Electroactive multilayered poly (vinyl chloride) (PVC) gel actuators (MPGAs) have attracted increasing interest in the field of soft robotics.However, they still face problems such as relati vely low contraction strain, poor durability, and robustness.”

    Waseda University Researcher Describes New Findings in Robotics and Mechatronics (Development and Evaluation of a Wearable Upper Limb Assistive Device with a Re mote Center of Motion Mechanism)

    33-33页
    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 and mechatro nics have been presented.According to news reporting out of Fukuoka, Japan, by NewsRx editors, research stated, “Workers in factories, construction sites, and farms are often exposed to the risk of physical disability and injury.”Our news correspondents obtained a quote from the research from Waseda Universit y: “Particularly, the lower back and shoulders require assistance, as injuries c an make it difficult to continue working.While social concern about back injuri es is high and preventive measures are taken, lesser attention is paid to should ers, resulting in inadequate assistance and prevention mechanisms.Therefore, we arable, low-cost, and lightweight upper limb assistive devices that can be used in multiple scenarios are desired by workers.In this study, we proposed a devic e that uses a remote center of motion (RCM) mechanism, enabling the device to su pport user’s upper arm from below, and the rotational center of device to corres pond with shoulder joint.The theoretical assist torque is designed to be suffic ient for arm gravity compensation of Japanese males of standard body size.”

    Investigators from International Institute of Information Technology Release New Data on Robotics (Identification and Learning-based Control of an End-effector for Targeted Throwing)

    34-34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 reporting from Hyderabad, India, by NewsRx jo urnalists, research stated, “Drones and mobile manipulators that can throw objec ts in addition to picking and placing them can be highly useful in industrial au tomation, warehouse environments, search and rescue operations, and sports train ing.However, predominant endeffectors primarily cater to grasping functions, n eglecting the throwing aspect.”

    Investigators at Setor University Report Findings in Machine Learning (Machine L earning To Predict the Compressive Strength of Mortars With and Without Construc tion Waste)

    35-35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 reporting from Catalao, Brazil, by Ne wsRx journalists, research stated, “The present work aimed to evaluate the perfo rmance of machine learning algorithms in predicting the compressive strength of mortars.The database was created through a bibliographic search of more than 50 references that were cataloged to contain data on mortar dosages with or withou t the addition of construction waste.”

    Researchers from Shanghai University Report on Findings in Machine Learning (A R apid Demodulation Method for the Interference Spectrum of Optical Fiber Sensors Based On Machine Learning)

    36-36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, “Interferometric op tical fiber sensors based on wavelength demodulation play an important role in t he field of high-precision measurements.Generally used wavelength tracking meth od is based on the locations of feature wavelengths (peaks or valleys), and a lo ng time of spectrum scanning and demodulation is required.”

    Findings from National Institute of Technology Update Knowledge of Machine Learn ing (Temperature-dependent Magnetic Properties of Bcc and Fcc Feni Alloys: a Mac hine Learning Assisted Montecarlo Approach)

    37-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented.According to news reporting from Tamil Nadu, India, by NewsRx j ournalists, research stated, “The estimation of exchange integrals in metals and alloys from first-principle calculations yields Curie temperature (TC), which i s not in agreement with the experiments.The microscopic exchange interactions o f the bcc and fcc FeNi alloys are predicted by training large datasets of random magnetization curves simulated using the atomic scale Monte Carlo method with r egression models to accurately reproduce the experimental TC.”

    Studies from Southeast University Reveal New Findings on Machine Learning (Nonli near Unsteady Aerodynamic Forces Prediction and Aeroelastic Analysis of Wind-ind uced Bridge Response At Multiple Wind Speeds: a Deep Learning-based Reduced-orde r ...)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report.According to news originating from Nanjing, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Machine learn ing-based aerodynamic reduced-order models (ROMs) combine high accuracy with ext remely low computational costs, making them highly effective in predicting nonli near and unsteady bridge aerodynamic forces.Although several machine learning-b ased nonlinear aerodynamic models have been developed, the majority are built on a single wind speed parameter.”

    Recent Studies from Tokai University Add New Data to Robotics (Drone System Remo tely Controlled by Human Eyes: A Consideration of its Effectiveness When Remotel y Controlling a Robot)

    39-39页
    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 Kanagawa, Japan, by NewsRx correspondents, research stated, “In recent years, Japan has experienced numerou s natural disasters, such as typhoons and earthquakes.”

    Researchers from Federal Scientific Agroengineering Center VIM Detail New Studie s and Findings in the Area of Robotics (Positioning System of Working Bodies in Differential Spraying of Plants)

    40-40页
    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 originating from the Federal Scientific Agroengineerin g Center VIM by NewsRx correspondents, research stated, “The paper highlights th at the escalation in the use of pesticides and agrochemicals poses a significant risk to human health, environmental integrity, and food safety.The predominant method of pesticide application is crop spraying.”