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 newsreporting originating from Pathum Thani , Thailand, by NewsRx correspondents, research stated, “Thiswork introduces a p arametric model order reduction (PMOR) approach that enhances an existing widelyused technique based on proper orthogonal decomposition (POD) and discrete empi rical interpolationmethod (DEIM) for parametrized nonlinear dynamical systems b y employing machine learning proceduresperformed on a Grassmann manifold. In pa rticular, distances between parameters are first computed basedon a metric defi ned on the Grassmann manifold of solution spaces.”
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 out ofSichuan, People’s Republic of China, by NewsRx editors, research stated, “The spherical robot XK-III,designed with r edundant degrees of freedom, addresses the limitations of existing pendulum sphe ricalrobot structures by enhancing mobility and environmental adaptability. A n onlinear dynamic model isdeveloped for XK-III’s new drive structure, along with a nonlinear disturbance observer (NDOB) to mitigateperturbations.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Biosensors is the subject of a re port. According to news reporting from Istanbul,Turkey, by NewsRx journalists, research stated, “This study developed an innovative biosensor strategyfor the sensitive and selective detection of canine mammary tumor biomarkers, cancer ant igen 15-3 (CA15-3) and mucin 1 (MUC-1), integrating green silver nanoparticles (GAgNPs) with machine learning (ML)algorithms to achieve high diagnostic accura cy and potential for noninvasive early detection. The GAgNPs- enhanced electroche mical biosensor demonstrated selective detection of CA 15-3 in serum and MUC-1 in tissue homogenates, with limits of detection (LODs) of 0.07 and 0.11 U mL, res pectively.”
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 newsreporting out of Manchester, Un ited Kingdom, by NewsRx editors, research stated, “Deep learning modelshave ach ieved state-of-the-art performance for text classification in the last two decad es.”
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 reportingoriginating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Inrecent years, the perforated patch clamp technique has been widely applied in cellular electro physiology research due to its low mechanical disturbance and almost no loss of cellular content in cell membraneperforation process. However, the current pass ive release process of perforating materials prolongs theperforation process an d easily disturbs the gigaseal formation process, significantly lowering the eff iciencyof perforated patch clamp operation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromSacramento, California, by NewsRx j ournalists, research stated, “Estimation of human water withdrawalsis more impo rtant now than ever due to uncertain water supplies, population growth, and clim atechange. Fourteen percent of the total water withdrawal in the United States is used for public supply,typically including deliveries to domestic, commercia l, and occasionally including industrial, irrigation, andthermoelectric water w ithdrawal.”
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 newsreporting originating from Dubl in, Ireland, by NewsRx correspondents, research stated, “As the complexityof ne twork end devices and applications grows, network managers face increasing diffi culty in meetingspecific end user requirements, leading to reduced user experie nce and inefficient resource management.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Artificial Intelligence is the su bject of a report. According to news reporting fromOslo, Norway, by NewsRx jour nalists, research stated, “Routinely collected electronic health records usinga rtificial intelligence (AI)-based systems bring out enormous benefits for patien ts, healthcare centers, andits industries. Artificial intelligence models can b e used to structure a wide variety of unstructured data.”
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 newsreporting from Porto, Portugal, by News Rx journalists, research stated, “Given the growth of domotics andhome automati on, there is a need to use smart devices that integrate energy management system s andenable the automation of the environment. Considering the need to study th e relationship between theenvironmental parameters in which the equipment is lo cated and the energy parameters, an EnvironmentalAwareness smart Plug (EnAPlug) is proposed with the application of machine learning (Tiny ML).Thisarticle pre sents a demonstration of EnAPlug applied to a refrigerator for predictions on in ternal humidityand activation motor for 5 min-ahead prediction on its operation , i.e., turning on or off.”
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. According tonews reporting originating in Sha nghai, People’s Republic of China, by NewsRx journalists, research stated,“Emer ging task-agnostic control methods offer a promising avenue for versatile assist ance in poweredexoskeletons without explicit task detection, but typically come with a performance trade-off for specifictasks and/or users. One such approach employs data-driven optimization of an energy shaping controllerto provide nat uralistic assistance across essential daily tasks with passivity/stability guara ntees.”
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