查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news reporting from theUniversity of Kyrenia by NewsRx journalists, research stated, “In recent times, machine learning algorithmshav e gained significant traction in addressing aerodynamic challenges.”The news journalists obtained a quote from the research from University of Kyren ia: “These algorithmsprove invaluable for predicting the aerodynamic performanc e, specifically the Lift-to-Drag ratio of airfoildatasets, when the dataset is sufficiently large and diverse. In this paper, we delve into an exploration of five machine learning algorithms: Random Forest, Gradient Boosting Regression, De cision Tree Regressor,AdaBoost Algorithm, and Linear Regression. These algorith ms are scrutinized within the context of varioustrain/test ratios to predict a crucial aerodynamic performance metric-the lift-to-drag ratio-for differentangl e of attack values. Our evaluation encompasses an array of metrics including R2, Mean Square Error,Training time, and Evaluation time. Upon analysis, the Rando m Forest Method, with a train/test ratioof 0.2, emerges as the frontrunner, sho wcasing superior predictive performance when compared to itscounterparts.”
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 - Comp utational Intelligence is now available.According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, researchstated, “Few-shot c lass-incremental learning (FSCIL) has recently aroused widespread research inter est,which aims to continually learn new class knowledge from a few labeled samp les without ignoring theprevious concept. One typical method is graph-based FSC IL (GFSCIL), which tends to design morecomplex message-passing schemes to make the classifiers’ decision boundary clearer.”
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 - Com putational Intelligence is the subject of areport. According to news reporting out of Wellington, New Zealand, by NewsRx editors, research stated,“Symbolic re gression is increasingly important for discovering mathematical models for vario us predictiontasks. It works by searching for the arithmetic expressions that b est represent a target variable using a setof input features.”Financial support for this research came from Marsden Fund (NZ).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Piscataway, New Jers ey, by NewsRx editors, research stated, “Image data collected afternatural disa sters play an important role in the forensics of structure failures. However, cu rating andmanaging large amounts of post -disaster imagery data is challenging. ”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Samara, Russ ia, by NewsRx journalists, research stated, “The search for new solidionic cond uctors is an important topic of material science that requires significant resou rces, but can beaccelerated using machine learning (ML) techniques. In this wor k, ML methods were applied to predictthe migration energy of working ions.”
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 tonews originating from Hangzhou, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Temperature fluctuations affect the performance of high-precision gravitational reference s ensors.”Financial supporters for this research include National Key R&D Pro gram of China; Strategic PriorityResearch Program of The Chinese Academy of Sci ences; Youth Fund Project of National Natural ScienceFoundation of China; Exper iments For Space Exploration Program And The Qian Xuesen Laboratory,China Acade my of Space Technology.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in artificial intelligence. According to news reporting out ofZhengzhou, People’s Republic of China, by NewsRx editors, research stated, “The multi-field coupling ofgrain p iles in grain silos is a focal point of research in the field of grain storage. The porosity of grainpiles is a critical parameter that affects the heat and mo isture transfer in grain piles.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting out of Tianjin, People’s Re public of China, by NewsRx editors, research stated, “Microbialnitrogen metabol ism is a complicated and key process in mediating environmental pollution and gr eenhousegas emissions in rivers. However, the interactive drivers of microbial nitrogen metabolism in rivers havenot been identified.”
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 in Montreal, Canada, by NewsRx journalists, research stated, “This paper addresses the problemof decen tralized, collaborative state estimation in robotic teams. In particular, this p aper considersproblems where individual robots estimate similar physical quanti ties, such as each other’s position relativeto themselves.”
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 fromChangzhou, People’s Republic of China, by NewsRx journalists, research stated, “The lower extremityexoskeleton, which can sense the neural motion state of the human body and then provide motion assistance, is gradually replacing the traditional wheelchairs and assistive devices , making many patients withdisabilities or movement disorders able to regain th e walking function. This survey provides a comprehensivereview on recent techno logical advances in lower extremity neurorehabilitation exoskeleton from the perspectives of sensing, gait dynamics, and human-robot collaboration.”
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