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Robotics & Machine Learning Daily News

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    Ministry of Education Reports Findings in Photocatalytics (Prediction of g-C3N4- based photocatalysts in tetracycline degradation based on machine learning)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Nanotechnology - Photocatalytics is the subject of a report. According to newsreporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated,“Investig ating the effects of g-CN-based photocatalysts on experimental parameters during tetracycline(TC) degradation can be helpful in discovering the optimal paramet er combinations to improve thedegradation efficiencies in general. Machine lear ning methods can avoid the problems of high cost, timeconsumingand possible in strumental errors in experimental methods, which have been proven to be aneffec tive alternative for evaluating the entire experimental process.”

    Findings on Machine Learning Detailed by Investigators at Nanjing University of Information Science and Technology (NUIST) (A Review of Nilm Applications With M achine Learning Approaches)

    20-21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 Nanjing, Peopl e’s Republic of China, by NewsRx editors, research stated, “In recentyears, Non -Intrusive Load Monitoring (NILM) has become an emerging approach that provides affordableenergy management solutions using aggregated load obtained from a sin gle smart meter in the power grid.Furthermore, by integrating Machine Learning (ML), NILM can efficiently use electrical energy and offerless of a burden for the energy monitoring process.”

    Findings from University of Stuttgart Update Knowledge of Robotics (Anomalously Acting Agents: the Deployment Problem)

    21-21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 Stuttgart, Germany, by NewsRx correspondents, research stated, “Detecting intentionallyantagonisti c behavior in robot swarms brings challenges that exceed identifying merely erro neous behavior.We investigate a data-based approach to recognize anomalous and, in particular, antagonistic behavior inrobots executing a deployment task.”

    Studies from Yangtze University Provide New Data on Machine Learning (Machine Le arning Methods for Predicting the Uniaxial Compressive Strength of the Rocks: a Comparative Study)

    22-22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 originatingfrom Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “The uniaxialcompressive stre ngth (UCS) of rocks is a critical index for evaluating the mechanical properties andconstruction of an engineering rock mass classification system. The most co mmonly used method fordetermining the UCS in laboratory settings is expensive a nd time-consuming.”

    Study Results from Aarhus University in the Area of Machine Learning Reported [Multimodal Temperature Sensing Using Electromechanical Impedance (Emi) for Struc tural Health Monitoring]

    23-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Aarhus, Denmark, by NewsRx correspondents, research stated, “In this article, we proposea new mu ltimodal sensing approach in which electromechanical impedance (EMI) signatures are used tosense temperature in addition to structural health monitoring (SHM) for which the technique is commonlyused. Here, we use machine learning to estim ate temperature differences between signatures, enabling theEMI sensor to serve not only as a corrosion sensor but also as a temperature sensor.”

    Recent Findings from University of California Highlight Research in Robotics (Fr om behavior to bio-inspiration: Aerial reorientation and multi-plane stability i n kangaroo rats, computational models, and robots)

    24-24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 robotic s. According to news originating from Irvine, California,by NewsRx editors, the research stated, “Tails play essential roles in functions related to locomotorstability and maneuverability among terrestrial and arboreal animals.”

    Ocean University of China Reports Findings in Machine Learning (Nondestructive E stimation of Specific Macroelement Contents In Thalli of the Red Macroalga pyrop ia Yezoensis Using Hyperspectral Imaging)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Qingdao, People’s Repub lic of China, by NewsRx journalists, research stated, “In theeconomically impor tant red macroalga Pyropia, carbohydrates and proteins contents are usually used toevaluate the nutritional status and commercial value. As main component elem ents of carbohydrates andproteins, C, N and S contents can be the suitable indi cators.”

    Studies from University Center Describe New Findings in Machine Learning (Predic tive modelling of residual stress in turning of hard materials using radial basi s function network enhanced with principal component analysis)

    26-27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 reportingfrom Sao Paulo, Brazil, by Ne wsRx journalists, research stated, “This study proposes a hybrid machinelearnin g (ML) model that combines a radial basis function network (RBFN) with principal componentanalysis (PCA) to predict residual stress (RS) in the machining proce ss. Higher temperatures and plasticdeformation can generate RS conditions in th e machining of hard materials, significantly influencing thequality of machined parts, particularly their surface integrity. It is crucial to evaluate and guar anteemachining conditions that ensure reliable surface integrity that yields co mpressive RS conditions.”

    First Affiliated Hospital of Nanjing Medical University Reports Findings in Hear t Bypass Surgery (Machine learning-based model development for predicting risk f actors of prolonged intra-aortic balloon pump therapy in patients with coronary …)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Heart Bypass Surgery is the subject of a report. Accordingto news reporting out of Jiangsu, People’s Republic of China, by NewsRx editors, research stated, “Machinelearni ng algorithms are frequently used to clinical risk prediction. Our study was des igned to predict riskfactors of prolonged intra-aortic balloon pump (IABP) use in patients with coronary artery bypass grafting(CABG) through developing machi ne learning-based models.”

    Research Center Researcher Releases New Study Findings on Hybrid Intelligent Sys tems (Survey on association rule analysis: Exploration using mining analysis)

    28-28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 hy brid intelligent systems. According to newsreporting originating from Maharasht ra, India, by NewsRx correspondents, research stated, “Associativerule mining i s a technique for discovering common patterns and correlations in data sets from differentdatabases, including relational, transactional and other types of dat a repositories, such as relationaldatabases.”