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    Findings on Robotics and Automation Reported by Investigators at Nanyang Technol ogical University (Cofii2p: Coarse-to-fine Correspondences-based Image To Point Cloud Registration)

    37-38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 out of Singapore, Singapore, by NewsRx editors, research stated, “Image-to-point cloud(I2P) regis tration is a fundamental task for robots and autonomous vehicles to achieve cros s-modality datafusion and localization. Current I2P registration methods primar ily focus on estimating correspondencesat the point or pixel level, often negle cting global alignment.”

    Reports from National University of Science & Technology MISiS Adv ance Knowledge in Machine Learning (Analysis of Stability and Mechanical Propert ies of Al-cr-fe-co-ni-cu Hea Based On Machine Learning)

    38-39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. According to news reportingoriginating from Moscow, Russia, by NewsRx correspondents, research stated, “A machine learning (ML)interatomic pot ential was developed to predict the behavior of complex high-entropy alloys (HEA s)containing Al, Cr, Fe, Co, Ni, and Cu. This ML potential accurately reproduce s DFT calculations,allowing for extensive molecular dynamics simulations.”

    Universita Campus Bio-Medico di Roma Researchers Report Research in Robotics (A fuzzy-logic approach for longitudinal assessment of patients’ psychophysiologica l state: an application to upper-limb orthopedic robot-aided rehabilitation)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on robotics have been publi shed. According to news reporting originatingfrom the Universita Campus Bio-Med ico di Roma by NewsRx correspondents, research stated, “Understandingthe psycho physiological state during robot-aided rehabilitation is crucial for assessing t he patientexperience during treatments.”

    Study Findings from University of Science and Technology Beijing Broaden Underst anding of Machine Learning (Toward Ultra-high Strength High Entropy Alloys Via F eature Engineering)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Beij ing, People’s Republic of China, by NewsRx correspondents, researchstated, “Mac hine learning assisted design of materials is so far based on features selected by considering theaccuracy of model predictions, and those features do not nece ssarily ensure a high efficiency in searchingfor new materials. Here we estimat e the efficiency of active learning loop by resampling method usingavailable da ta as an alternative criterion for selection.”

    New Machine Learning Study Results from University of Novi Sad Described (Machin e Learning Model for Predicting Walking Ability in Lower Limb Amputees)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Novi Sad, Serb ia, by NewsRx correspondents, research stated, “Background/Objectives:The numbe r of individuals with lower limb loss (LLL) is rising. Therefore, identifying th e walking potentialin individuals with LLL and prescribing adequate prosthetic systems are crucial.”

    Study Results from ISM University of Management and Economics in the Area of Rob otics Reported (Can You Outsmart the Robot? an Unexpected Path To Work Meaningfu lness)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics have been pr esented. According to news reporting fromVilnius, Lithuania, by NewsRx journali sts, research stated, “Although many organizations are increasinglyreplacing hu man labor with robots, scholarly knowledge of how employees respond to robots is limited. In aqualitative study consisting of 117 interviews conducted over 20 months at two manufacturing companies,we explored how people respond to labor r eplacement by robots and how they handle working withunreliable technology to g et the job done.”

    Reports from Tsinghua University Highlight Recent Findings in Machine Learning ( Effective Tribological Performance-oriented Concentration Optimization of Lubric ant Additives Based On a Machine Learning Approach)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Thetribological performance of lubricant is significantly affected by additive concentration. To realize optimizationof additive concentrations, an eXtreme Gradient Boosting m achine learning method was proposedto predict the tribological performance of a lubricant, reflected by wear volume, with data collected fromfour-ball frictio n experiments.”

    Findings from Beijing Forestry University Yields New Findings on Imaging Technol ogy (A Nondestructive Method for Determination of Green Tea Quality By Hyperspec tral Imaging)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Technology - Imaging Technology. According to news reportingoriginating in Beijing, People ’s Republic of China, by NewsRx journalists, research stated, “This study utilizes hyperspectral imaging technology to capture spectral images of three grades o f green tea. Reflectancespectra of the three quality grades of tea, namely Grad e A, Grade B, and Grade C, were collected between370 nm and 1040 nm.”

    Study Data from Tongling University Update Knowledge of Robotics (Robust control ler design for robot joint position servo systems)

    45-45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 reportingoriginating from Tongling University by NewsRx correspondents, research stated, “For the position servocontrol prob lem of a robot joint control system affected by the uncertainty of external dist urbances, amodel-based robust controller is designed in this paper.”

    Engineering Faculty Reports Findings in Machine Learning (Enhancing the content of phycoerythrin through the application of microplastics from Porphyridium crue ntum produced in wastewater using machine learning methods)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsoriginating from Ankara, Turkey, by New sRx correspondents, research stated, “Microalgae can producesecondary metabolit es like phycoerythrin (Phy). The effects of some microplastics (MPs), wastewater(WW), and light intensity (LI) parameters, including complex data sets, on Phy concentration fromPorphyridium cruentum were investigated using machine learnin g methods in this study.”