查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on artificial intelligence are discussed in a new report. According to newsreporting originating from San Marc os, Texas, by NewsRx correspondents, research stated, “There isincreasing inter est in developing mathematical and computational models to forecast adverse even ts inphysiological systems. Examples include falls, the onset of fatal cardiac arrhythmias, and adverse surgicaloutcomes.”
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 originating fromBucharest University of Economic Studies by NewsRx correspondents, research stated, “The energy transitionto a c leaner environment has been a concern for many researchers and policy makers, as well ascommunities and non-governmental organizations. The effects of climate change are evident, temperatureseverywhere in the world are getting higher and violent weather phenomena are more frequent, requiringclear and firm pro-enviro nmental measures. Thus, we will discuss the energy transition and the supportpr ovided by artificial intelligence (AI) applications to achieve a cleaner and hea lthier environment.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on robotics have been publi shed. According to news reporting from Tangshan,People’s Republic of China, by NewsRx journalists, research stated, “Taking the pipe-pipe intersectingstructur e workpiece as the target, the Finite Element simulation (FEM) of the workpiece is carried out byusing the finite element analysis software ABAQUS and the DFLU X subroutine.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Transportation - Intelligent Transp ort Systems are presented in a new report.According to news reporting originati ng in Dalian, People’s Republic of China, by NewsRx journalists,research stated , “Crowdsourced package delivery (CPD) has gained great interest from the logist icsindustry and academe due to its signficant economic and environmental impact . A number of progresseshave been reported; however, dynamic pricing, as a spec ial and significant part of the uncertain CPDmarkets, is far less explored.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Nervous System Diseases and Condi tions - Seizures is the subject of a report.According to news reporting out of Coimbra, Portugal, by NewsRx editors, research stated, “Seizure predictionremai ns a challenge, with approximately 30% of patients unresponsive to conventional treatments.Addressing this issue is crucial for improving patient s’ quality of life, as timely intervention can mitigatethe impact of seizures.”
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 tonews reporting originating from Port land, Oregon, by NewsRx correspondents, research stated, “Seasonalpredictions o f spring-summer river flow volume (water supply forecasts, WSFs) are foundationa lto western US water management. We test a new space-based remote sensing produ ct, spatially andtemporally complete (STC) MODSCAG fractional snow-covered area (fSCA), as input for the Natural ResourcesConservation Service (NRCS) operatio nal US West-wide WSF system. fSCA data were consideredalongside traditional SNO TEL predictors, in both statistical and AI-based NRCS operational hydrologicmod els, throughout the forecast season, in four test watersheds (Walker, Wind, Pied ra, and Gila Riversin California, Wyoming, Colorado, and New Mexico).”
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 Nanjing, People’s R epublic of China, by NewsRx journalists, research stated, “The abilitiesto desc ribe the fracture behavior and calibrate the relevant parameters are essential f actors in evaluatingductile fracture criteria of titanium alloys. In this study , 14 different shapes and notched specimens weredesigned for uniaxial tensile a nd compression experiments to characterize their ductile fracture behaviors.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Beijing, People ’s Republic of China, by NewsRx editors, research stated, “The exceptionalcapab ilities of artificial intelligence (AI) in extracting image information and proc essing complex modelshave led to its recognition across various medical fields. With the continuous evolution of AI technologiesbased on deep learning, partic ularly the advent of convolutional neural networks (CNNs), AI presents anexpand ed horizon of applications in lung cancer screening, including lung segmentation , nodule detection,false-positive reduction, nodule classification, and prognos is.”
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 Xi’an, People’s Repu blic of China, by NewsRx journalists, research stated, “The trajectorytracking control performance of nonholonomic wheeled mobile robots (NWMRs) is subject to nonholonomicconstraints, system uncertainties, and external disturbances. This paper proposes a barrier function-basedadaptive sliding mode control (BFASMC) m ethod to provide high-precision, fast-response performanceand robustness for NW MRs.”
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 ofa report. According to news reporting out of Xuzhou, People’s Republic of China, by NewsRx editors,research stated, “ This paper focuses on the crack detection and digital restoration of ancient mur alcultural heritage, proposing a comprehensive method that combines the Unet ne twork structure anddiffusion model. Firstly, the Unet network structure is used for efficient crack detection in murals byconstructing an ancient mural image dataset for training and validation, achieving accurate identificationof mural cracks.”
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