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    Study Findings from Sungkyunkwan University Provide New Insights into Machine Le arning (Estimation of Prediction Intervals for Performance Assessment of Buildin g Using Machine Learning)

    29-29页
    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 to newsreporting out of Suwon, South Korea, by NewsRx editors, research stated, “This study utilizes artificialneura l networks (ANN) to estimate prediction intervals (PI) for seismic performance a ssessment ofbuildings subjected to long-term ground motion.”

    Westmead Institute for Medical Research Reports Findings in Alzheimer Disease (P roteome profiling of cerebrospinal fluid using machine learning shows a unique p rotein signature associated with APOE4 genotype)

    30-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Neurodegenerative Dise ases and Conditions - Alzheimer Disease is thesubject of a report. According to news reporting originating in Sydney, Australia, by NewsRx journalists,researc h stated, “Proteome changes associated with APOE4 variant carriage that are inde pendent ofAlzheimer’s disease (AD) pathology and diagnosis are unknown. This st udy investigated APOE4 proteomechanges in people with AD, mild cognitive impair ment, and no impairment.”

    Reports on Artificial Intelligence from Huazhong University of Science and Techn ology Provide New Insights (Four Development Stages of Collective Intelligence)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Artificial Intell igence are discussed in a new report. According tonews reporting originating in Wuhan, People’s Republic of China, by NewsRx editors, the research stated, “The new generation of artificial intelligence (AI) research initiated by Chinese sc holars conforms to theneeds of a new information environment changes, and striv es to advance traditional artificial intelligence(AI 1.0) to a new stage of AI 2.0. As one of the important components of AI, collective intelligence (CI1.0), i.e., swarm intelligence, is developing to the stage of CI 2.0 (crowd intellige nce).”

    Study Findings on Machine Learning Are Outlined in Reports from Uttaranchal Univ ersity (Flood prediction and management)

    31-32页
    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 fromUttaranchal University by NewsRx correspondents, research stated, “Floods are one of the most devastating forces of nature, that destroy thousands of lives every year. Not only does the economy of a country sufferbecause of such a disaster, but the loss of agriculture and people is physically and mentally exhausting fora country.”

    Study Findings from University of California Berkeley Provide New Insights into Machine Learning (On Artificial and Post- Artificial Texts: Machine Learning and the Reader’s Expectations of Literary and Non- Literary Writing)

    32-33页
    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 reportingoriginating from Berkeley, Californi a, by NewsRx editors, the research stated, “With the advent of ChatGPTand other large language models, the number of artificial texts we encounter on a daily b asis is about toincrease substantially. This essay asks how this new textual si tuation may influence what one can call the‘standard expectation of unknown tex ts,’ which has always included the assumption that any text is thework of a hum an being.”

    Southern Methodist University Reports Findings in Machine Learning (Predicting R eal-time Roadway Pluvial Flood Risk: a Hybrid Machine Learning Approach Coupling a Graph-based Flood Spreading Model, Historical Vulnerabilities, and Waze Data)

    33-34页
    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 Machine Learning. According to news reporting originatingfrom Dallas, Texas, by NewsRx correspondents, research stated, “Urban pluvial flash flooding(PFF), driven by extreme weather and urban expansion, introduces complex challenges that arise f romthe dynamic interaction of rainfall hazard, road vulnerability, and traffic exposure. These three criticalcomponents must be interconnected to provide a co mprehensive prediction of roadway PFF risk.”

    Reports on Support Vector Machines Findings from Florida State University Provid e New Insights (Density-convoluted Tensor Support Vector Machines)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. Accordingto news originating from Tallahassee, Fl orida, by NewsRx correspondents, research stated, “With theemergence of tensor data (also known as multi-dimensional arrays) in many modern applications such as image processing and digital marketing, tensor classification is gaining incre asing attention. Althoughthere is a rich toolbox of classification methods for vector-based data, these traditional methods may notbe adequate for tensor data classification.”

    Investigators from Federal University Itajuba Have Reported New Data on Machine Learning (Roughness Prediction Using Machine Learning Models In Hard Turning: an Approach To Avoid Rework and Scrap)

    35-36页
    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 originatingfrom Itajuba, Brazil, by NewsRx co rrespondents, research stated, “In recent years, the effectiveness ofintegratin g machine learning methods to predict surface roughness in machining processes h as becomewell-established. However, there is a noticeable gap in the literature concerning the inclusion of tool wearas an input variable.”

    New Findings on Machine Learning Described by Investigators at Hohai University (Best Integer Equivariant Estimation Based On Unsupervised Machine Learning for Gnss Precise Positioning andNavigation In Complex Environments)

    36-37页
    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 reportingoriginating in Nanjing, People’s Rep ublic of China, by NewsRx journalists, research stated, “In GlobalNavigation Sa tellite System (GNSS) precise positioning and navigation, integer ambiguity reso lution is aprerequisite. However, how to correctly resolve integer ambiguities, especially in complex environments, isa tricky problem.”

    Data on Artificial Intelligence Reported by Mihaela Porumb and Colleagues (Autom ated Echocardiographic Detection of Heart Failure With Preserved Ejection Fracti on Using Artificial Intelligence)

    37-38页
    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 from Oxford, United Ki ngdom, by NewsRx journalists, research stated, “Detection of heart failurewith preserved ejection fraction (HFpEF) involves integration of multiple imaging and clinical features whichare often discordant or indeterminate. The authors appl ied artificial intelligence (AI) to analyze a singleapical 4-chamber transthora cic echocardiogram video clip to detect HFpEF.”