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 in Calgary, Canada, by NewsRx journalists, research stated, “Tri-reforming of methane (TRM) isa promi sing technology for the simultaneous production of hydrogen and syngas with high energy efficiency(above 70%). However, catalyst design for TRM is challenging due to complex reaction kinetics and theneed for catalyst material s with great stability and activity.”
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 Normal, Illinois, by NewsRx correspondents, research stated, “The manifestation of ‘ArtificialSoc ial Intelligence (ASI)’ stands as a cornerstone of a social robot system develop ment that influencesusers’ interactions and experiences overall in the ever-evo lving landscape of user-centric Human-RobotInteraction (HRI).”
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 reporting originating inBeijing, People’s Republic of Chin a, by NewsRx journalists, research stated, “In robot-assisted rehabilitationand leg exoskeletons, humans and robots are required to collaboratively complete re petitive tasks with fixedperiodic paths. In such applications, impedance learni ng control can provide variable impedance regulationfor improving the performan ce of physical interactions; however, designing such control is highly challenging owing to the difficulty in modeling human time-varying dynamics.”
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 newsoriginating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Machine learning and remote sensing techniques are widely accepted as valuable, cost-effective tools inlithological discrimination and mineralogical investigations. The current st udy represents an attempt touse machine learning classification along with seve ral remote sensing techniques being applied to Landsat-8/9 satellite data to dis criminate the various outcropping lithological rock units at the Duwi Shear Belt(DSB) area in the Central Eastern Desert of Egypt.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting originatingin Heilongjiang, People’s Repub lic of China, by NewsRx journalists, research stated, “Wheeled mobilerobots (WM Rs) with variable wheelbases are capable of traveling on deformable terrains and handlingcomplex detection tasks. While the variable wheelbase length of WMR al lows it to interact with theterrains adaptively, enhancing its mobility, it bri ngs a control challenge.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting originatingin Changsha, People’s Republic of Ch ina, by NewsRx journalists, research stated, “In the past decades,the removal o f the semi-solid metal oxide slag has raised a significant concern in industrial manufacturingfield. The presence of oxide slag may lead to a decrease in the q uality of metal products, affecting theirmechanical properties and visual appea rance, which causes serious quality problems in manufacturingindustry.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Peripheral Neuropathy is the subject of a report. According to newsreporting originating from Huainan , People’s Republic of China, by NewsRx correspondents, researchstated, “Diabet ic peripheral neuropathy (DPN) and lower extremity arterial disease (LEAD) are s ignificantcontributors to diabetic foot ulcers (DFUs), which severely affect pa tients’ quality of life. This study aimedto develop machine learning (ML) predi ctive models for DPN and LEAD and to identify both shared anddistinct risk fact ors.”
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 - Intelligent Systems. Accordingto news reporting originating in Hang zhou, People’s Republic of China, by NewsRx journalists, researchstated, “Despi te the rapid development of electric vehicles (EVs), the limited range and acces sibility ofcharging infrastructure are still obstacles to the development of EV s. At present, the Chinese governmenthas made great efforts to set up charging stations and the most popular construction mode of chargingstations in China is to divide a certain proportion of parking spaces in the parking lot to build ch argepiles.”
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 fromBasel, Switzerland, by NewsRx journa lists, research stated, “This paper compares the predictive powerof credit scor ing models based on machine learning techniques with that of traditional loss an d defaultmodels. Using proprietary transaction-level data from a leading fintec h company in China, we test theperformance of different models to predict losse s and defaults both in normal times and when the economyis subject to a shock.”
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 originatingin Hangzhou, People’s Republi c of China, by NewsRx journalists, research stated, “Calibratingmicromechanical fracture model of ultra-low cycle fatigue (ULCF) life in steel structures typic ally involveslaborious and time-consuming tests of structural steels. In respon se, this paper presents a novel frameworkfor calibrating the micromechanical fr acture model using the predicted ULCF life of structural steels frommachine lea rning (ML) model.”
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