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Robotics & Machine Learning Daily News

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    Engineering Training Center Researcher Broadens Understanding of Machine Learnin g (Analyzing the efficacy of waste marble and glass powder for the compressive s trength of self-compacting concrete using machine learning strategies)

    76-77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 artificial in telligence have been published. According to newsreporting from Changchun, Peop le’s Republic of China, by NewsRx journalists, research stated, “Selfcompactingconcrete (SCC) is well-known for its capacity to flow under its own weight, whi ch eliminatesthe need for mechanical vibration and provides benefits such as le ss labor and faster construction time.”
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    Studies from University of Arizona Reveal New Findings on Machine Learning (Unsu pervised Machine Learning for Automatic Image Segmentation of Impact Damage In C frp Composites)

    77-78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 reportingout of Tucson, Arizona, by NewsRx ed itors, research stated, “In this work, a novel unsupervised machinelearning (ML ) method for automatic image segmentation of low velocity impact damage in carbo nfiber reinforced polymer (CFRP) composites has been developed. The method reli es on the use of nonparametricstatistical models in conjunction with the so-ca lled intensity-based segmentation, enabling oneto determine the thresholds of i mage histograms and isolate the damage.”
      原文链接:
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    First Affiliated Hospital of Wenzhou Medical University Reports Findings in Gast ric Cancer (Development and validation of a machine learning-based 18F-fluorodeo xyglucose PET/CT radiomics signature for predicting gastric cancer survival)

    78-79页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Gastric Can cer is the subject of a report. Accordingto news reporting out of Wenzhou, Peop le’s Republic of China, by NewsRx editors, research stated,“Survival prognosis of patients with gastric cancer (GC) often influences physicians’ choice of thei r followuptreatment. This study aimed to develop a positron emission tomograph y (PET)-based radiomics model combined with clinical tumor-node-metastasis (TNM) staging to predict overall survival (OS) in patientswith GC.”
      原文链接:
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    New Findings Reported from RIKEN Center for Computational Science Describe Advan ces in Machine Learning [Exploring the critical points in QCD with multi-point Pade and machine learning techniques in (2+1)-flavor QCD]

    78-78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 artific ial intelligence. According to news reportingoriginating from the RIKEN Center for Computational Science by NewsRx correspondents, research stated,“Using simu lations at multiple imaginary chemical potentials for (2 + 1)-flavor QCD, we con structmulti-point Pade approximants.”
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    New Machine Learning Study Findings Reported from School of Mechanical Engineeri ng (Technology Development of Novel Autogenous Double Pulse Tungsten Insert Gas Welding Technique To Evaluate the Depth of Penetration, Micro Segregation Via .. .)

    80-81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 reportingfrom Tamil Nadu, India, by NewsRx jo urnalists, research stated, “The present research investigates theeffect of pro cess parameters on the microstructure, micro segregation, and material propertie s of theAutogenous Double Pulse Tungsten Inert Gas Welding (ADP-TIG) of Inconel 625. The optimization ofthe process parameter was evaluated by Response surfac e Methodology (RSM) Box Behnken method.”
      原文链接:
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    Study Findings on Machine Learning Published by Researchers at Universita Cattol ica del Sacro Cuore (Garlic yield monitoring using vegetation indices and textur e features derived from UAV multispectral imagery)

    81-82页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. According tonews originating from Piacenz a, Italy, by NewsRx correspondents, research stated, “Remote sensing andmachine learning are widely used to estimate crop yield. The use of these technologies for yield estimationof bulbous vegetables is challenging because the yield is u nderground and can’t be directly monitored byremote sensing images.”
      原文链接:
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    Saigon University Researchers Focus on Robotics (Optimization of swimming mode f or elongated undulating fin using multi-agent deep deterministic policy gradient )

    82-82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 robotics have been published. According to news reportingfrom Saigon University by NewsRx jo urnalists, research stated, “Optimizing speed and propulsive efficiencyare the most crucial survival skills for biomimetic robots.”
      原文链接:
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    New Machine Learning Data Has Been Reported by a Researcher at Tallinn Universit y of Technology (A Review on the Application of Machine Learning in Gamma Spectr oscopy: Challenges and Opportunities)

    83-83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 originatingfrom Tallinn, Estonia, by N ewsRx correspondents, research stated, “Gamma spectroscopy is an importantanaly tical technique across various fields.”
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    Data from Batman University Broaden Understanding of Machine Learning (Engine Fa ult Detection by Sound Analysis and Machine Learning)

    84-84页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According tonews originating from Batman, Tur key, by NewsRx correspondents, research stated, “Traditional vehiclefault diagn osis methods rely heavily on the expertise of mechanics or diagnostic tools avai lable at servicecenters, which can be costly, time-consuming, and may not alway s provide accurate results.”
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    Researchers from University College London (UCL) Report Findings in Machine Lear ning (Investigating the Performance and Safety of Li-ion Cylindrical Cells Using Acoustic Emission and Machine Learning Analysis)

    85-86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 in London, United Kingdo m, by NewsRx journalists, research stated, “Acoustic emission (AE)is a low-cost , non-invasive, and accessible diagnostic technique that uses a piezoelectric se nsor to detectultrasonic elastic waves generated by the rapid release of energy from a localised source. Despite theubiquity of the cylindrical cell format, A E techniques applied to this cell type are rare in literature due tothe complex ity of acoustic wave propagation in cylindrical architectures alongside the chal lenges associatedwith sensor coupling.”
      原文链接:
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