查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting originating in Xi'an, People's Repu blic of China, by NewsRx journalists, research stated, "Peg-hole-insertion proce sses of diverse shapes are typical contact-rich tasks, which need the accurate r epresentation of object's shape, pose, and peg-hole contact states. The visual-t actile sensor can perceive the relative moving trend between the gripper and the grasped object, which could be applied in the perception of the peg-hole contac t states." Funders for this research include National Natural Science Foundation of China ( NSFC), Practice and Innovation Funds for Graduate Students of Northwestern Polyt echnical University.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting out of Madhya Pradesh, India, by N ewsRx editors, research stated, "The nature of chemical bonding in crystalline s olids significantly influences heat conduction, impacting lattice thermal conduc tivity and, consequently, thermoelectric (TE) performance. In this study, we rep ort the development of the first principles-based machine learning interatomic p otentials to predict TE efficiency in chalcogenide-based materials." Funders for this research include Board of Research in Nuclear Sciences (BRNS), IIT Indore, Science Engineering Research Board (SERB), India, Council of Scienti fic & Industrial Research (CSIR) - India, Board of Research in Nuc lear Sciences (BRNS), University Grants Commission, India.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Odense, Denmark, by NewsRx journalists, research stated, "The increasing use of advanced medical technologies to detect adverse events, for instance, artificial intelligence-ass isted technologies, has shown promise in improving various aspects within health care but may also come with substantial expenses. Therefore, understanding the potential economic benefits can guide decision-making processes regarding implem entation." Financial supporters for this research include Innovationsfonden, Novo Nordisk F onden, Kraftens Bekampelse, A.P. Moller og Hustru Chastine Mc-Kinney Mollers Fon d til almene Formaal.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting out of Tianjin, Pe ople's Republic of China, by NewsRx editors, research stated, "Understanding the strength development of alkali-activated materials (AAMs) with fly ash (FA) and granulated blast furnace slag (GBFS) is crucial for designing high-performance AAMs."Financial supporters for this research include Natural Science Foundation of Chi na; S&T Program of Hebei; Education Department of Hebei Province; H ebei University of Technology. Our news journalists obtained a quote from the research from Hebei University of Technology: "This study investigates the strength development mechanism of AAMs using machine learning. A total of 616 uniaxial compressive strength (UCS) data points from FA-GBFS-based AAM mixtures were collected from published literature to train four tree-based machine learning models. Among these models, Gradient Boosting Regression (GBR) demonstrated the highest prediction accuracy, with a c orrelation coefficient (R-value) of 0.970 and a root mean square error (RMSE) of 4.110 MPa on the test dataset. The SHapley Additive exPlanations (SHAP) analysi s revealed that water content is the most influential variable in strength devel opment, followed by curing periods. The study recommends a calcium-to-silicon ra tio of around 1.3, a sodium-to-aluminum ratio slightly below 1, and a silicon-to -aluminum ratio slightly above 3 for optimal AAM performance."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting out of Bucharest, Romania, by NewsRx editors, research stated, "This study aims to provide a comprehensive bi bliometric analysis covering the common areas between artificial intelligence (A I) applications and research focused on local or regional contexts. The analysis covers the period between the year 2002 and the year 2023, utilizing data sourc ed from the Web of Science database." Funders for this research include Eu's Nextgenerationeu Instrument Through The N ational Recovery And Resilience Plan of Romania-pillar; Ministry of Research, In novation And Digitization; Bucharest University of Economic Studies.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news originating from Guangzhou, People's Republi c of China, by NewsRx correspondents, research stated, "Energy consumption predi ction can help the government to formulate building energy consumption quotas an d buildings energy consumption correlation analysis can provide a clear directio n for buildings energy conservation and renovation. In the study, the energy con sumption data of four types of public buildings in Guangxi in the four quarters of 2021 based on five machine learning models was trained and predicted." Financial support for this research came from National Natural Science Foundatio n of Guangdong Province.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting from Karnataka, India, by New sRx journalists, research stated, "Nickel-Copper alloys hybrid composite was for med in an induction furnace set up on a sand substrate." The news reporters obtained a quote from the research from Affiliated to Visvesv araya Technological University: "With different percentages of Al2O3 (3, 6, 9 an d 12 wt%) and TiO2 (constant 9 wt%) reinforcements, th e goal is to examine the wear behavior and friction coefficient of Ni-TiO2-Al2O3 . The factors considered for the wear analysis were sliding distance (1500, 1000 , and 500 m), applied load (25,50, and 75 N), and sliding velocity (1.46, 2.93, and 4.39 m/s). The pin-on-disc equipment is utilized to perform different wear tests are carried out using in accordance with the Taguchi L27 orthogonal array. The machine learning used to correlate between actual and anticipated values fo r both metrics is strong, with a reasonable error margin. The Mean Squared Error (MSE) for the wear rate was 0.1025 (10.25%) in the Linear Regressi on model and 0.2390 (23.89%) in the Random Forest model. Regression analysis determined the impact of several parameters on wear rate, whilst machi ne learning approaches expanded the evaluation of wear rate and coefficient of f riction beyond experimental data."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting originating in Vicosa, Braz il, by NewsRx journalists, research stated, "Recent technological advances have allowed the production of many studies on evapotranspiration, resulting in impro vements in reference evapotranspiration estimates and crop coefficients with rem ote sensing data. However, these two areas of research often work independently, producing valuable studies, but without an effective integration to predict act ual evapotranspiration directly, without the need for weather stations." Funders for this research include Coordenacao de Aperfeicoamento de Pessoal de N ivel Superior (CAPES), Conselho Nacional de Desenvolvimento Cientifico e Tecnolo gico (CNPQ), Federal University of Vicosa-UFV.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news originating from Changsha, People's Republic of Chin a, by NewsRx correspondents, research stated, "This research presents a novel ro bot system that combines active and passive components to enhance compliance and dependability. The system is based on a continuous variable stiffness wrist." Funders for this research include Natural Science Foundation of Changsha, Nation al Natural Science Foundation of China (NSFC), Leading Talents Project of Scient ific and Technological Innovation in Hunan Province.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Shanghai, People's Republi c of China, by NewsRx journalists, research stated, "This paper investigates how uncertain term length, a novel source of political uncertainty, affects the beh aviors of banks and firms using a machine-learning approach. China's local autho rities do not have a fixed term, creating an ideal environment for studying how economic agents react to their perception of political uncertainty without an ac tual political turnover." Financial supporters for this research include National Office of Philosophy and Social Sciences, National Natural Science Foundation of China (NSFC), Shanghai Philosophy and Social Science Planning Project.
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