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    University of Technology Sydney Reports Findings in Central NervousSystem Agent s (Development and evaluation of portable NIR technology for the identification and quantification of Australian illicit drugs)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Central Nervous System Agents is the subjectof a report. According to news repo rting out of Broadway, Australia, by NewsRx editors, research stated,“The effic ient and accurate analysis of illicit drugs remains a constant challenge in Aust ralia given thehigh volume of drugs trafficked into and around the country. Por table drug testing technologies facilitatethe decentralisation of the forensic laboratory and enable analytical data to be acted upon more efficiently.”

    Reports on Machine Learning from Helwan University Provide New Insights (Machine Learning Approach for Prediction of Ionospheric Irregularities On Roti Index Ov er the Northern Anomaly Crest In Egypt During Solar Cycle 24)

    48-49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 outof Cairo, Egypt, by NewsRx editors, r esearch stated, “This paper reports the prediction results of theionospheric ir regularities represented by the ROTI index close to the equatorial ionization an omaly’sNorthern peak. A feedforward backpropagation Neural Network (NN) approac h is implemented using atime series Nonlinear Autoregressive approach with Exog enous inputs (NARX).”

    Research from Auckland University of Technology Provide New Insightsinto Machin e Learning (Hybrid Machine Learning for Automated Road Safety Inspection of Auck land Harbour Bridge)

    49-50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 out of Aucklan d, New Zealand, by NewsRx editors, research stated, “The AucklandHarbour Bridge (AHB) utilises a movable concrete barrier (MCB) to regulate the uneven bidirect ionalflow of daily traffic.”

    Studies from Concordia University in the Area of Machine Learning Reported (A Ra ndom Forest Machine Learning Model To Detect Fluvial Hazards)

    50-51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 Montreal, Canada, b y NewsRx correspondents, research stated, “Fluvial hazards of rivermobility and flooding are often problematic for road infrastructure and need to be considere d in theplanning process. The extent of river and road infrastructure networks and their tendency to be close toeach other creates a need to be able to identi fy the most dangerous areas quickly and cost-effectively.”

    Findings from Changzhou University in the Area of Machine Learning Reported [Surface Reinforcement of Recycled Aggregates (Ras) By Geopolymer and Quantifying Its Morphological Characteristics By Machine Learning]

    51-52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 Machine Learning. According to news reportingoriginating in Jiangsu, People’s R epublic of China, by NewsRx journalists, research stated, “Recycledconcrete agg regate (RCA) and recycled brick aggregate (RBA), derived from construction and d emolitionwaste (C&DW), are increasingly used in concrete materials to conserve natural resources. In certain places,RBA, typically derived from C &DW, originally made with minerals that absorb water easily, dating backto the last century, exhibit higher water absorption and poorer mechanical properties compared to RCA.”Financial support for this research came from Changzhou University, China.

    Research from Johns Hopkins University School of Medicine Provides New Study Fin dings on Machine Learning (Early predictive values of clinical assessments for A RDS mortality: a machinelearning approach)

    52-53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 artific ial intelligence. According to news reportingoriginating from Johns Hopkins Uni versity School of Medicine by NewsRx correspondents, research stated,“Acute res piratory distress syndrome (ARDS) is a devastating critical care syndrome with s ignificantmorbidity and mortality.”

    Second Affiliated Hospital of Fujian Medical University Reports Findings in Seps is (Deciphering the immune-metabolic nexus in sepsis: a single-cell sequencing a nalysis of neutrophil heterogeneity and risk stratification)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Blood Diseases and Con ditions - Sepsis is the subject of a report.According to news reporting origina ting in Fujian, People’s Republic of China, by NewsRx journalists,research stat ed, “Metabolic dysregulation following sepsis can significantly compromise patie nt prognosisby altering immune-inflammatory responses. Despite its clinical rel evance, the exact mechanisms of thisperturbation are not yet fully understood.”

    Study Results from Texas Tech University Broaden Understanding of Machine Learni ng (Ensemble Machine Learning on the Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use/Land Cover Mapping)

    54-55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 newsoriginating from Lubbock, Texa s, by NewsRx editors, the research stated, “In the United States, severalland u se and land cover (LULC) data sets are available based on satellite data, but th ese data setsoften fail to accurately represent features on the ground. Alterna tively, detailed mapping of heterogeneouslandscapes for informed decision-makin g is possible using high spatial resolution orthoimagery from theNational Agric ultural Imagery Program (NAIP).”

    David Geffen School of Medicine University of California Los Angeles(UCLA) Repo rts Findings in Machine Learning (Development of a Machine Learning-Enabled Virt ual Reality Tool for Preoperative Planning of Functional Endoscopic Sinus Surger y)

    55-56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 newsoriginating from Los Angeles, Californi a, by NewsRx correspondents, research stated, “ Virtual reality(VR) is an incre asingly valuable teaching tool, but current simulators are not typically clinica lly scalabledue to their reliance on inefficient manual segmentation. The objec tive of this project was to leverage ahigh-throughput and accurate machine lear ning method to automate data preparation for a patient-specificVR simulator use d to explore preoperative sinus anatomy.”

    Researchers from China University of Mining and Technology Detail New Studies an d Findings in the Area of Machine Learning (Research on influencing factors for drilling rate in coal mines and its intelligent prediction methods)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Xuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “In the field ofdrilling I n coal mine underground, drilling rate (DR) is one of the most effective indicat ors for assessingdrilling operations. Accurate prediction of DR is a prerequisi te for the realization of intelligent drillingin coal mines, which is of great significance for optimizing drilling parameters, reducing operational costs,and ensuring safe and efficient drilling.”