查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Cincinnati, Ohio, by N ewsRx correspondents, research stated, “ Predicting 30-day hospital readmissions is crucial for improving patient outcomes, optimizing resource allocation, and achieving financial savings. Existing studies reporting the development of machi ne learning (ML) models predictive of neurosurgical readmissions do not report f actors related to clinical implementation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reporting originating from Portsmouth , United Kingdom, by NewsRx correspondents, research stated, “Despite recent adv ancements in artificial intelligence (AI) in hospitality, little is known about its unintended consequences on consumers’ privacy concerns. Through an empirical package combining qualitative and quantitative evidence, this research reveals that framing AI as ‘powerful’ enhances privacy concerns (Studies 1-5) by reducin g AI-control over data (Study 3).” Our news editors obtained a quote from the research from the University of Ports mouth, “Notably, such effects are reduced in consumer-human agent interactions a nd increased in consumer-AI ones (Study 4). Finally, interventions providing pri vacy guarantees can reduce privacy concerns stemming from powerful artificial ag ents and enhance willingness to disclose data (Study 5).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Nutritional and Metabo lic Diseases and Conditions - Diabetes Mellitus Management is the subject of a r eport. According to news reporting originating in Reading, United Kingdom, by Ne wsRx journalists, research stated, “Continuous glucose monitoring (CGM) for diab etes combines noninvasive glucose biosensors, continuous monitoring, cloud compu ting, and analytics to connect and simulate a hospital setting in a person’s hom e. CGM systems inspired analytics methods to measure glycemic variability (GV), but existing GV analytics methods disregard glucose trends and patterns; hence, they fail to capture entire temporal patterns and do not provide granular insigh ts about glucose fluctuations.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Tehran, Ira n, by NewsRx correspondents, research stated, “In our previous work, we introduc ed a method that combines two unsupervised algorithms: DBSCAN and GMM. We applie d this method to 12 open clusters based on Gaia EDR3 data, demonstrating its eff ectiveness in identifying reliable cluster members within the tidal radius.” Our news editors obtained a quote from the research from Amirkabir University of Technology: “However, for studying cluster morphology, we need a method capable of detecting members both inside and outside the tidal radius. By incorporating a supervised algorithm into our approach, we successfully identified members be yond the tidal radius. In our current work, we initially applied DBSCAN and GMM to identify reliable members of cluster stars. Subsequently, we trained the Rand om Forest algorithm using DBSCAN and GMM-selected data. Leveraging the random fo rest, we can identify cluster members outside the tidal radius and observe clust er morphology across a wide field of view. Our method was then applied to 15 ope n clusters based on Gaia DR3, which exhibit a wide range of metallicity, distanc es, members, and ages. Additionally, we calculated the tidal radius for each of the 15 clusters using the King profile and detected stars both inside and outsid e this radius. Finally, we investigated mass segregation and luminosity distribu tion within the clusters.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Telangana, India, by New sRx journalists, research stated, “We examine five machine learning-based archit ectures to estimate the droplet size distributions obtained using digital inline holography. The architectures, namely, U-Net, R2 U-Net, Attention U-Net, V -Net , and Residual U-Net, are trained using synthetic holographic images.” Financial supporters for this research include Science & Engineeri ng Research Board, India, IIT Hyderabad.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics - Ro botics and Automation have been published. According to news reporting originati ng in Guangzhou, People’s Republic of China, by NewsRx journalists, research sta ted, “The Southeast Asia frog (Euphlyctis hexadactylus), a natural jumping exper t in water, demonstrates exceptional jumping capability by contracting its leg m uscles and coordinating its flippers to propel itself out of water, significantl y aiding its hunting activities. This bionic behavior serves as a unique inspira tion for the design of impulsive aquatic jumping robots.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting from Kuala Lumpur, M alaysia, by NewsRx journalists, research stated, “One of the most prevalent beha vioral impairments in autistic people is difficulty processing sensory informati on. People commonly observe this phenomenon as either hypersensitivity or hypose nsitivity to tactile stimuli.” Financial supporters for this research include Universiti Tunku Abdul Rahman; Un iversiti Malaya.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Beijing, People’s Republic of Chi na, by NewsRx journalists, research stated, “The development of watershed models faces double pressure of data requirements and physical interpretation. The sim ulation of nonpoint source (NPS) pollution is an important application of waters hed model, and the best management practices (BMPs) have attracted wide attentio n as the main control approach of NPS pollution.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), National Natural Sci ence Foundation of China (NSFC), Fundamental Research Funds for the Central Univ ersities.
查看更多>>摘要：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 from Novi Sad, Serbia, by NewsRx jo urnalists, research stated, “This research presents a method for fabricating rel ief terracotta panels, utilizing polystyrene molds shaped by robotic hotwire cut ting. A crucial aspect of this work is the use of grayscale images as input for generating toolpaths for hotwire cutting, bridging the gap between digital image processing in computer graphics and the physical creation of architectural elem ents.” Funders for this research include Ministry of Science, Technological Development and Innovation, Faculty of Technical Sciences, University of Novi Sad.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news reporting originating from Ilmenau, German y, by NewsRx correspondents, research stated, “Turbulence parametrizations will remain a necessary building block in kilometer-scale Earth system models. In con vective boundary layers, where the mean vertical gradients of conserved properti es such as potential temperature and moisture are approximately zero, the standa rd ansatz which relates turbulent fluxes to mean vertical gradients via an eddy diffusivity has to be extended by mass-flux parametrizations for the typically a symmetric up- and downdrafts in the atmospheric boundary layer.” Financial support for this research came from Ministerio de Ciencia e Innovacion .
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