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    Indian Institutes of Technology (IIT) Roorkee Researchers Update Current Study F indings on Machine Learning (Streamflow prediction using support vector regressi on machine learning model for Tehri Dam)

    56-57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. Accordingto news reporting from the India n Institutes of Technology (IIT) Roorkee by NewsRx journalists, researchstated, “Accurate and reliable streamflow prediction is critical for optimising water r esource management,reservoir flood operations, watershed management, and urban water management. Many researchers havepublished on streamflow prediction using techniques like Rainfall-Runoff modelling, Time series Models,Data-driven mode ls, Artificial intelligence, etc.”

    Data from Bauman Moscow State Technical University Advance Knowledge in Artifici al Intelligence (Automated search for several alternative logical inferences in a mivar knowledge base)

    57-58页
    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 artificial intelligence. According to news reportingfrom Bauman Moscow State Te chnical University by NewsRx journalists, research stated, “This paperdescribes an approach to the automatic generation of a mivar knowledge base of a three-di mensional logicspace.”

    Findings from North Carolina Agricultural and Technical State University Provide New Insights into Artificial Intelligence (Bridging Nanomanufacturing and Artif icial Intelligence-A Comprehensive Review)

    58-58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 fromGreensboro, North Carolina, by Ne wsRx correspondents, research stated, “Nanomanufacturing and digitalmanufacturi ng (DM) are defining the forefront of the fourth industrial revolution-Industry 4.0-as enablingtechnologies for the processing of materials spanning several le ngth scales.”

    Researchers from Department of Electrical and Communication Engineering Detail N ew Studies and Findings in the Area of Machine Learning (Multi-class Classificat ion of Ionospheric Scintillations Using Smote-super Learner Ensemble Technique)

    59-59页
    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 is th e subject of a report. According to news reportingfrom Guntur, India, by NewsRx journalists, research stated, “Ionospheric scintillation is a phenomenonthat i nfluences radio waves from the Global Navigation Satellite System (GNSS) in the ionosphere, reducingthe accuracy, integrity, and continuity of tracking and nav igation applications. Automatic andaccurate detection of scintillation events b ased on threat level is essential for space weather forecastingapplications.”

    New Findings in Robotics Described from University of Catania (Terrain Traversab ility Prediction Through Self-supervised Learning and Unsupervised Domain Adapta tion On Synthetic Data)

    60-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news originatingfrom Catania, Italy, by NewsRx cor respondents, research stated, “Terrain traversability estimation is afundamenta l task for supporting robot navigation on uneven surfaces. Recent learning-based approachesfor predicting traversability from RGB images have shown promising r esults, but require manual annotationof a large number of images for training.”

    Research from China University of Geosciences Has Provided New Study Findings on Artificial Intelligence (Machine Learning Models for Water Quality Prediction: A Comprehensive Analysis and Uncertainty Assessment in Mirpurkhas, Sindh, Pakist an)

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Wuhan, People’ s Republic of China, by NewsRx editors, research stated, “Groundwaterrepresents a pivotal asset in conserving natural water reservoirs for potable consumption, irrigation, anddiverse industrial uses. Nevertheless, human activities intertw ined with industry and agriculture contributesignificantly to groundwater conta mination, highlighting the critical necessity of appraising water qualityfor sa fe drinking and effective irrigation.”

    Sapienza University of Rome Reports Findings in Support Vector Machines (Protoco l to explain support vector machine predictions via exact Shapley value computat ion)

    62-62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. According tonews reporting out of Rome, Italy, by NewsRx editors, research stated, “Shapley values from cooperativegame theory a re adapted for explaining machine learning predictions. For large feature sets u sed inmachine learning, Shapley values are approximated.”

    New Biomarkers Findings from Jamia Millia Islamia Reported (Machine Learning App roaches for Neurological Disease Prediction: a Systematic Review)

    62-63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 Diagnos tics and Screening - Biomarkers. According tonews reporting originating in New Delhi, India, by NewsRx journalists, research stated, “In this article, weprese nt a systematic and exhaustive review regarding the trends, datasets employed, a s well as findingsachieved in the last 11 years in neurological disorder predic tion using machine learning models. In this workwe present a comparison between the biomarkers used in ML field with the biomarkers that are obtainedthrough o ther non-ml-based research fields.”

    Karolinska University Hospital Reports Findings in Hip Fracture (Development and Internal Validation of a Multivariable Prediction Model for Mortality After Hip Fracture with Machine Learning Techniques)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Hip Fracture is the su bject of a report. According to news reportingfrom Stockholm, Sweden, by NewsRx journalists, research stated, “In order to estimate the likelihood of1, 3, 6 a nd 12 month mortality in patients with hip fractures, we applied a variety of ma chine learningmethods using readily available, preoperative data. We used prosp ectively collected data from a singleuniversity hospital in Copenhagen, Denmark for consecutive patients with hip fractures, aged 60 years andolder, treated b etween September 2008 to September 2010 (n = 1186).”

    Daphne Cockwell School of Nursing Researcher Releases New Study Findings on Robo tics (Resisting the Robotic - Moving Fluidly Towards Soulful Qualitative Analysi s)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news reportingfrom Toronto, Canada, by NewsRx jour nalists, research stated, “Qualitative inquiry is known for thegeneration of kn owledge that is expressive, subjective, rich, and comprehensive. While there are prospectsfor qualitative research to inform and improve praxis, thin engagemen t with qualitative analysis threatensthe meaningfulness of the produced finding s.”