首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Reports from Imperial College London Provide New Insights into Robotics (Distanc e Regression Enhanced With Temporal Information Fusion and Adversarial Training for Robot-assisted Endomicroscopy)

    100-101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 out ofLondon, United Kingdom, by NewsRx ed itors, research stated, “Probe-based confocal laser endomicroscopy(pCLE) has a role in characterising tissue intraoperatively to guide tumour resection during surgery. Tocapture good quality pCLE data which is important for diagnosis, the probe-tissue contact needs to bemaintained within a working range of micrometr e scale.”

    Reports from Imperial College London Provide New Insights into Robotics (Distanc e Regression Enhanced With Temporal Information Fusion and Adversarial Training for Robot-assisted Endomicroscopy)

    100-101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 out ofLondon, United Kingdom, by NewsRx ed itors, research stated, “Probe-based confocal laser endomicroscopy(pCLE) has a role in characterising tissue intraoperatively to guide tumour resection during surgery. Tocapture good quality pCLE data which is important for diagnosis, the probe-tissue contact needs to bemaintained within a working range of micrometr e scale.”

    Investigators from Zhejiang Agriculture & Forestry University Targ et Robotics (Light-manipulated Millimeter-scale Swimming Robot for Precise Navig ation)

    101-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting fromHangzhou, People’s Republic of C hina, by NewsRx journalists, research stated, “Micro-swimming robotshave been i ncreasingly emphasized in the fields of targeted drug delivery and water surface cleaning, whichmainly use open external structures or external environments to assist navigation, but there are still salientproblems, such as the difficulty of stable capture and poor navigation accuracy. Theoretically, a light-drivens wimming robot can have a symmetrical embedded structure to constrain surface ten sion gradient forcesand thermophoretic forces in a wide range of directions and convert them into precise directional forces.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Scientific Research and Developed Fund of Zhejiang AF Univer sity.

    Investigators from Zhejiang Agriculture & Forestry University Targ et Robotics (Light-manipulated Millimeter-scale Swimming Robot for Precise Navig ation)

    101-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting fromHangzhou, People’s Republic of C hina, by NewsRx journalists, research stated, “Micro-swimming robotshave been i ncreasingly emphasized in the fields of targeted drug delivery and water surface cleaning, whichmainly use open external structures or external environments to assist navigation, but there are still salientproblems, such as the difficulty of stable capture and poor navigation accuracy. Theoretically, a light-drivens wimming robot can have a symmetrical embedded structure to constrain surface ten sion gradient forcesand thermophoretic forces in a wide range of directions and convert them into precise directional forces.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Scientific Research and Developed Fund of Zhejiang AF Univer sity.

    Findings on Machine Learning Reported by Investigators at Sichuan Agricultural U niversity (Machine Learning Models Based On Uav Oblique Images Improved Above-gr ound Biomass Estimation Accuracy Across Diverse Grasslands On the Qinghai-tibeta n ...)

    102-103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 Chengdu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Unmannedaerial vehic les (UAVs) are becoming important tools for modern management and scientific research of grassland resources, especially in the dynamic monitoring of above-grou nd biomass (AGB). However,current studies rely mostly on vertical images to con struct models, with little consideration given tooblique images.”

    Findings on Machine Learning Reported by Investigators at Sichuan Agricultural U niversity (Machine Learning Models Based On Uav Oblique Images Improved Above-gr ound Biomass Estimation Accuracy Across Diverse Grasslands On the Qinghai-tibeta n ...)

    102-103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 Chengdu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Unmannedaerial vehic les (UAVs) are becoming important tools for modern management and scientific research of grassland resources, especially in the dynamic monitoring of above-grou nd biomass (AGB). However,current studies rely mostly on vertical images to con struct models, with little consideration given tooblique images.”

    Study Results from Stanford University in the Area of Machine Learning Reported (Promise: Preconditioned Stochastic Optimization Methods By Incorporating Scalab le Curvature Estimates)

    103-104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 out of Stanford, Cali fornia, by NewsRx editors, research stated, “Ill-conditioned problemsare ubiqui tous in large-scale machine learning: as a data set grows to include more and mo re featurescorrelated with the labels, the condition number increases. Yet trad itional stochastic gradient methodsconverge slowly on these ill-conditioned pro blems, even with careful hyperparameter tuning.”

    Study Results from Stanford University in the Area of Machine Learning Reported (Promise: Preconditioned Stochastic Optimization Methods By Incorporating Scalab le Curvature Estimates)

    103-104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 out of Stanford, Cali fornia, by NewsRx editors, research stated, “Ill-conditioned problemsare ubiqui tous in large-scale machine learning: as a data set grows to include more and mo re featurescorrelated with the labels, the condition number increases. Yet trad itional stochastic gradient methodsconverge slowly on these ill-conditioned pro blems, even with careful hyperparameter tuning.”

    Investigators at Indian Institute of Technology Roorkee Discuss Findings in Mach ine Learning (Potential Assessment of Sar and Optical Data With Machine Learning To Monitor Temporal Changes In Tall Vegetation)

    104-105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. Accordingto news reporting originating in Roorke e, India, by NewsRx journalists, research stated, “The globaldecline in tall ve getation (TV) due to environmental degradation necessitates effective detection methodsfor conservation and sustainable development goals. This study presents a novel machine learning (ML)approach for mapping TV cover changes at a pixel l evel (10 m) using information fusion of SyntheticAperture Radar (SAR) and multi spectral optical data.”

    Investigators at Indian Institute of Technology Roorkee Discuss Findings in Mach ine Learning (Potential Assessment of Sar and Optical Data With Machine Learning To Monitor Temporal Changes In Tall Vegetation)

    104-105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. Accordingto news reporting originating in Roorke e, India, by NewsRx journalists, research stated, “The globaldecline in tall ve getation (TV) due to environmental degradation necessitates effective detection methodsfor conservation and sustainable development goals. This study presents a novel machine learning (ML)approach for mapping TV cover changes at a pixel l evel (10 m) using information fusion of SyntheticAperture Radar (SAR) and multi spectral optical data.”