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 originating fromHarbin, People’s Republic of China, by NewsRx editors, the research stated, “In this paper, a practicaldiscrete-tim e control method with adaptive image feature prediction for the image-based visu al servoing(IBVS) scheme is presented.”
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 Ma chine Learning. According to news reportingfrom Changsha, People’s Republic of China, by NewsRx journalists, research stated, “Nowadays, reliableand accurate prediction of the seismic response of high-speed railway bridges and then rapid assessment oftheir seismic fragility is crucial for the risk assessment of regi onal high-speed railway bridges. However, thetraditional seismic fragility asse ssment based on nonlinear time history analysis (NTHA) has a characteristicof h igh computational cost.”
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 Buffalo, New York, by Ne wsRx journalists, research stated, “Plastics recycling is an importantcomponent of the circular economy. In mechanical recycling, the recovery of high-quality plastics forsubsequent reprocessing requires plastic waste to be first sorted b y type, color, and size.”
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 originating from Cambridge, Massachusetts, by NewsRx correspondents, research stated,“Majorana zero modes (MZMs) carry non-Abelian statistics and great promise for topological quantum computation. A key signature of MZMs is the zero-bias peaks (ZBPs) in tunneling di fferential conductance.”Financial supporters for this research include United States Department of Energ y (DOE), NationalScience Foundation (NSF) Designing Materials to Revolutionize and Engineer Our Future (DMREF) Program,MIT-QEC Seed Fund, National Science Fou ndation (NSF), Class of 1947 Career DevelopmentChair.
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 to newsreporting originating from Hort en, Norway, by NewsRx correspondents, research stated, “Machine learning(ML), p articularly, Automated machine learning (AutoML) offers a range of possibilities for analysing largevolumes of historical maritime accidents data with advanced algorithms for integrating predictive analyticsin operational and policy decis ion-making for improving maritime safety. This study explores historicaldata of maritime accidents in Norwegian waters over 40 years.”
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 originatingfrom Wuhan, People’s Republic of Chin a, by NewsRx correspondents, research stated, “In order to achievecontrollable behavior in soft robots, it is necessary to analyze the dynamic response charact eristics of softactuators and thereby gain a deeper understanding of the dynami c response mechanisms of actuators. Inthis study, the two-way fluid structural interaction (FSI) method was used for the first time to reveal thetransient flo w field inside the soft pneumatic actuator and its influences on the dynamic mot ions underhigh-speed pressurization.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reportingfrom Hefei, People’s Republic of China , by NewsRx journalists, research stated, “Regular measurementof particle accel erators is imperative to ensure their long-term, stable operation and to meet fu tureconstruction needs. The aim of this study is to minimise unplanned downtime and to provide data analysisand predictive insights for the remeasurement of s imilar particle accelerators.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnol ogy - Nanocomposites. According to newsreporting out of Guangdong, People’s Rep ublic of China, by NewsRx editors, research stated, “Thispaper introduces a nov el machine learning-based optimization strategy for multi-functional acoustic bl ackhole (ABH) metaplates. The primary objective is to achieve a multi-functiona l metaplate with excellentperformance in elastic wave attenuation and load-bear ing capacity simultaneously.”
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. Accordingto news reporting from Stockholm, Sw eden, by NewsRx journalists, research stated, “In this letter, wetackle the cha llenge of predicting the unseen walls of a partially observed environment as a s et of 2Dline segments, conditioned on occupancy grids integrated along the traj ectory of a 360(degrees) LIDARsensor. A dataset of such occupancy grids and the ir corresponding target wall segments is collected bynavigating a virtual robot between a set of randomly sampled waypoints in a collection of office-scale floor plans from a university campus.”
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 Catonsville, Maryland, by NewsRx journalists, research stated, “Spatial machine learningmodels can be developed from observations with substantial unexplainable variability, sometime s called‘noise ‘. Traditional point-scale metrics (e.g., R 2 ) alone can be mis leading when evaluating these models.We present a multi-scale performance evalu ation (MPE) using two additional scales (distributional andgeostatistical).”
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