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    New Findings from Harbin Institute of Technology Describe Advances in Robotics ( Defect Detection and 3D Reconstruction of Complex Urban Underground Pipeline Sce nes for Sewer Robots)

    29-30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 originatingfrom Harbin, People’s Republic o f China, by NewsRx correspondents, research stated, “Detecting defectsin comple x urban sewer scenes is crucial for urban underground structure health monitorin g. However,most image-based sewer defect detection models are complex, have hig h resource consumption, and failto provide detailed damage information.”

    New Findings from Harbin Institute of Technology Describe Advances in Robotics ( Defect Detection and 3D Reconstruction of Complex Urban Underground Pipeline Sce nes for Sewer Robots)

    29-30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 originatingfrom Harbin, People’s Republic o f China, by NewsRx correspondents, research stated, “Detecting defectsin comple x urban sewer scenes is crucial for urban underground structure health monitorin g. However,most image-based sewer defect detection models are complex, have hig h resource consumption, and failto provide detailed damage information.”

    Sorbonne University Reports Findings in Endoscopy (Toward Automated Small Bowel Capsule Endoscopy Reporting using a Summarizing Machine learning Algorithm: The SUM UP study)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Surgical Procedures - Endoscopy i s the subject of a report. According tonews reporting out of Paris, France, by NewsRx editors, research stated, “Deep learning (DL) algorithmsdemonstrate exce llent diagnostic performance for the detection of vascular lesions via small bow el (SB)capsule endoscopy (CE), including vascular abnormalities with high (P2), intermediate (P1) or low (P0)bleeding potential, while dramatically decreasing the reading time. We aimed to improve the performanceof a DL algorithm by char acterizing vascular abnormalities using a machine learning (ML) classifier, andselecting the most relevant images for insertion into reports.”

    Sorbonne University Reports Findings in Endoscopy (Toward Automated Small Bowel Capsule Endoscopy Reporting using a Summarizing Machine learning Algorithm: The SUM UP study)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Surgical Procedures - Endoscopy i s the subject of a report. According tonews reporting out of Paris, France, by NewsRx editors, research stated, “Deep learning (DL) algorithmsdemonstrate exce llent diagnostic performance for the detection of vascular lesions via small bow el (SB)capsule endoscopy (CE), including vascular abnormalities with high (P2), intermediate (P1) or low (P0)bleeding potential, while dramatically decreasing the reading time. We aimed to improve the performanceof a DL algorithm by char acterizing vascular abnormalities using a machine learning (ML) classifier, andselecting the most relevant images for insertion into reports.”

    Findings from University of Padjadjaran Reveals New Findings on Machine Learning (Investment Risk Forecasting Model Using Extreme Value Theory Approach Combined With Machine Learning)

    31-32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 reportingout of Sumedang, Indonesia, by News Rx editors, research stated, “Investment risk forecasting is challengingwhen th e stock market is characterized by non-linearity and extremes. Under these condi tions, VaRestimation based on the assumption of distribution normality becomes less accurate.”

    Findings from University of Padjadjaran Reveals New Findings on Machine Learning (Investment Risk Forecasting Model Using Extreme Value Theory Approach Combined With Machine Learning)

    31-32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 reportingout of Sumedang, Indonesia, by News Rx editors, research stated, “Investment risk forecasting is challengingwhen th e stock market is characterized by non-linearity and extremes. Under these condi tions, VaRestimation based on the assumption of distribution normality becomes less accurate.”

    Researchers at Harbin Institute of Technology Report New Data on Machine Learnin g (Machine Learning Classification Applied To the Effect of Afsd Process Paramet ers On Tensile Properties)

    32-33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. According to news reporting fromWeihai, People’s Republic of China, by NewsRx journalists, research stated, “Additive Friction Stir Deposition(AFSD ) is a key technology in additive manufacturing, where process parameters greatl y impactdeposition layer properties. Currently, there is no established method for systematically improving theseproperties through parameter investigation.”

    Researchers at Harbin Institute of Technology Report New Data on Machine Learnin g (Machine Learning Classification Applied To the Effect of Afsd Process Paramet ers On Tensile Properties)

    32-33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. According to news reporting fromWeihai, People’s Republic of China, by NewsRx journalists, research stated, “Additive Friction Stir Deposition(AFSD ) is a key technology in additive manufacturing, where process parameters greatl y impactdeposition layer properties. Currently, there is no established method for systematically improving theseproperties through parameter investigation.”

    Reports on Artificial Intelligence from State University of New York (SUNY) Buff alo Provide New Insights (Artificial Intelligence Modeling of Biomarker-based Ph ysiological Age: Impact On Phase 1 Drug-metabolizing Enzyme Phenotypes)

    33-34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 Ar tificial Intelligence. According to news reportingout of Buffalo, New York, by NewsRx editors, research stated, “Age and aging are important predictorsof heal th status, disease progression, drug kinetics, and effects. The purpose was to d evelop ensemblelearning-based physiological age (PA) models for evaluating drug metabolism.”

    Reports on Artificial Intelligence from State University of New York (SUNY) Buff alo Provide New Insights (Artificial Intelligence Modeling of Biomarker-based Ph ysiological Age: Impact On Phase 1 Drug-metabolizing Enzyme Phenotypes)

    33-34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 Ar tificial Intelligence. According to news reportingout of Buffalo, New York, by NewsRx editors, research stated, “Age and aging are important predictorsof heal th status, disease progression, drug kinetics, and effects. The purpose was to d evelop ensemblelearning-based physiological age (PA) models for evaluating drug metabolism.”