查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Lincoln, Nebraska, by NewsRx edit ors, research stated, “This research examines the spatiotemporal characteristics of deep convection initiation (DCI) using a dataset of approximately 182,000 in stances of DCI occurring over an 11-year period in the Central United States. Sp atial statistical analysis reveals differences in the frequency of DCI occurrenc e across the study area.” Financial support for this research came from National Aeronautics & Space Administration (NASA).
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 . According to news reporting originating from Xi’an, People’s Republic of China , by NewsRx correspondents, research stated, “Conventional quality control metho dologies are inadequate for fully elucidating the aberrant patterns of product q uality. A multitude of factors influence product quality, yet the limited number of controlled quality characteristics is insufficient for accurately diagnosing quality abnormalities.” Financial supporters for this research include Key Research And Development Prog ram of Shaanxi; Key Scientific Research Program of Shaanxi Provincial Education Department; Collaborative Innovation Center of Modern Equipment Green Manufactur ing in Shaanxi Province, China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from Cheongju, South Korea, by New sRx journalists, research stated, “With the development of computer technology i nnovation, be able to deal with the media comprehensive information and real-tim e informa-tion interaction with the computer multimedia technology arises at the historic moment, it promotes the application fields of computer widen to industr ial all aspects of life.” Our news journalists obtained a quote from the research from Xinyang Agriculture and Forestry University: “As the product of digital technology, animation techn ology plays an irreplaceable role in the production of multimedia courseware. Ho wever, the existing human-computer interaction methods have shortcomings such as incomplete extraction of video features and poor human-computer interaction eff ect. In this context, this paper designs a multimedia human-computer interaction method for animation works based on CNN model. First of all, the original video data is collected and preprocessed.”
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 in Toronto, Cana da, by NewsRx editors, the research stated, “The study of rare diseases has long been an area of challenge for medical researchers, with agonizingly slow moveme nt towards improved understanding of pathophysiology and treatments compared wit h more common illnesses. The push towards evidence-based medicine (EBM), which p rioritizes certain types of evidence over others, poses a particular issue when mapped onto rare diseases, which may not be feasibly investigated using the meth odologies endorsed by EBM, due to a number of constraints.” The news reporters obtained a quote from the research from the University of Tor onto, “While other trial designs have been suggested to overcome these limitatio ns (with varying success), perhaps the most recent and enthusiastically adopted is the application of artificial intelligence to rare disease data. This paper c ritically examines the pitfalls of EBM (and its trial design offshoots) as it pe rtains to rare diseases, exploring the current landscape of AI as a potential so lution to these challenges. This discussion is also taken a step further, provid ing philosophical commentary on the weaknesses and dangers of AI algorithms appl ied to rare disease research. While not proposing a singular solution, this arti cle does provide a thoughtful reminder that no ‘one-size-fits-all’ approach exis ts in the complex world of rare diseases.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting from London, United Kingdom, by NewsRx jour nalists, research stated, “Although a number of studies have explored science fi ction prototyping as a method for new product development, no study has ever use d the method to examine the mobility and transportation technology needs of peop le with disabilities. The current research created a science fiction prototype, based on expert opinion expressed during an imagination workshop, which the auth ors then presented to a sample of people with ambulatory disabilities.” The news correspondents obtained a quote from the research from Kingston Univers ity, “Through a conjoint analysis, the sample members delineated the elements of the prototype they regarded as most important. The participants considered pers onal mobility assistive technology (either an automated wheelchair or an exoskel eton) the most important, followed by personal automation (autonomous [driverless] vehicle or personal robot) and thirdly by persona l assistance technologies (real-time response versus augmented metaverse plannin g systems).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Merced, United States, by NewsRx correspondents, research stated, “Chemical testing of grapes is essential for wine-making, allowing informed decisions about grape compositio n and potential wine characteristics.” Funders for this research include University of California Merced. Our news editors obtained a quote from the research from University of Californi a: “However, current invasive laboratory methods to identify the key components as total soluble solid contents and acidity, present challenges in terms of time and cost. To address these issues, non-invasive techniques using Visible- Near-I nfrared (Vis-NIR) and Raman spectroscopy are explored for rapid and accurate gra pe chemical analysis. Various machine learning methods are deployed in this stud y to address the challenges of grape chemical analysis and enhance estimation ac curacy. The contributions of this research include pioneering a direct compariso n between Vis-NIR and Raman spectroscopy, establishing a regression model benchm ark, and providing an open-source dataset for grape composition analysis. We ide ntify Gaussian Process Regression (GPR) and Support Vector Machine Regression (S VMR) as the most effective regression models, with GPR achieving an RMSE of 0.97 7 °Birx for sugar content estimation in French Colombard grapes and SVMR achievi ng 0.780 °Brix for Cabernet grapes.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news reporting originating from Nantong, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “In order to solve the problem o f flexible sliding tactile composite sensing in the actual grasp of intelligent robot fingers, this paper proposes a research on a convex fiber grating tactile sliding sensor based on mechanical fingers.” Financial supporters for this research include Smart Grid Joint Fund of State Ke y Program of National Natural Science Foundation of China; Major Natural Science Projects of Colleges And Universities in Jiangsu Province.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Grenoble, France, by NewsRx editor s, research stated, “Advanced and accurate prediction of rock fragmentation dist ribution can reduce the secondary crushing work, the cost of manual equipment an d increase efficiency, thereby enabling tunnel excavation towards lightweighting . To that end, a novel hybrid random forest (RF) model optimized by atomic orbit al search (AOS) with Logistic mapping (LM), i.e., LMAOS-RF, was proposed to pred ict rock size distribution.” Funders for this research include National Natural Science Foundation of China ( NSFC), Distinguished Youth Sci- ence Foundation of Hunan Province of China, Chin a Scholarship Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Coimbatore, India, by NewsRx editors, the research stated, “Cascaded Multi -Level Inverters (CMLI) ar e used in a wide range of high -power industrial drives and for integrating sola r PV system. Asymmetric Cascaded Multilevel Inverter (ACMLI) produces an output voltage with reduced Total Harmonic Distortion (THD) when compared to Symmetric Cascaded Multilevel Inverter (SCMLI).” Our news journalists obtained a quote from the research from the Kumaraguru Coll ege of Technology, “ACMLI comprises of more semiconductor devices and thus relia bility is a major concern. Efficient, high speed and precise fault detection is required for ACMLI to reduce failure rates and avoid unplanned shutdown. RMS vol tage, mean voltage and THD under various single and double switch fault conditio ns are used as features for fault diagnosis. Fault diagnosis method for ACMLI ba sed on probabilistic principal component analysis (PPCA) and Ensemble Machine Le arning (EML) is presented. PPCA is used to optimize data and reduce the size of fault features.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from National Centr al University by NewsRx correspondents, research stated, “This study presents a pioneering investigation into the complex Holocene paleo-morphologies of the Yil an Plain, located at the southwestern edge of the Okinawa Trough. We employed a novel approach that synergized resistivity measurements with machine learning te chniques to unlock valuable insights into the geological history, sedimentary pa tterns, and seismic activity of this dynamic region.” Funders for this research include Geological Survey And Mining Management Agency (Gsmma), Ministry of Economics, Taiwan..
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