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    Investigators at Ministry of Education Report Findings in Machine Learning (Distinguishing the Type of Ore-forming Fluids In Gold Deposits Using Pyrite Geochemistry and Machine Learning)

    95-95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 Machine Learning is now available. According to news originating fromChangsha, People’s Republic of China, by NewsRx correspondents, research stated, “Pyrite geochemistryis crucial for the discrimination of the types of ore-forming fluids in gold deposits, such as metamorphichydrothermalfluids and magmatic-hydrothermal fluids. With the assistance of supervised machine learningalgorithms, this application can be leveraged maximally.”

    Reports on Machine Learning Findings from Arizona State University Provide New Insights (Identification of Groundwater Potential Zones In Data-scarce Mountainous Region Using Explainable Machine Learning)

    96-96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 out ofTempe, Arizona, by NewsRx editors, research stated, “Groundwater is a critical resource, yet its detailedassessment in mountainous regions is challenged by varying topography, complex hydrogeological characteristicsand limited data. In this study, machine learning approaches were used to analyze the groundwaterpotential in five different watersheds in Nepal.”

    Study Findings on Machine Learning Are Outlined in Reports from Indian Institute of Science (Automl-gwl: Automated Machine Learning Model for the Prediction of Groundwater Level)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on Machine Learning is now available. According to news reporting originating from Madhya Pradesh, India, by NewsRx correspondents, research stated, “Predicting groundwater levels ispivotal in curbing overexploitation and ensuring effective water resource governance. However, groundwaterlevel prediction is intricate, driven by dynamic nonlinear factors.”

    Reports Summarize Artificial Intelligence Study Results from Southwest Jiaotong University (Predicting the Damage To Cementitious Composites Due To Acid Attack and Evaluating the Effectiveness of Eggshell Powder Using Interpretable Artificial ...)

    98-98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 Intelligence have been published. According tonews reporting originating in Chengdu, People’s Republic of China, by NewsRx journalists, research stated,“The resistance of cement-based composites (CBCs) to the intervention of aggressive ions is the primarydeter-minant of their durability. H2SO4 is a highly corrosive acid capable of causing structural damage.”

    Study Findings on Machine Learning Are Outlined in Reports from University of Texas Austin (Bayesian Model Calibration for Diblock Copolymer Thin Film Self-assembly Using Power Spectrum of Microscopy Data and Machine Learning Surrogate)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are presented in a new report. According to newsreporting out of Austin, Texas, by NewsRx editors, research stated, “Identifying parameters of computationalmodels from experimental data, or model calibration, is fundamental for assessing and improvingthe predictability and reliability of computer simulations. In this work, we propose a method for Bayesiancalibration of models that predict morphological patterns of diblock copolymer (Di-BCP) thin film selfassemblywhile accounting for various sources of uncertainties in pattern formation and data acquisition.”

    New Machine Learning Study Findings Have Been Reported by Investigators at University of Utah (Examining the Nonlinear Effects of Neighborhood Housing Plus Transportation Affordability On Shared Dockless E-scooter Trips Using Machine Learning ...)

    100-100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 Salt Lake City, Utah, by NewsRx journalists, research stated, “Despite the growing popularityand benefits of shared dockless e-scooters, there is controversy over whether this is an affordable travelmode for everyone. This paper explores the nonlinear relationship between shared dockless e-scooters andthe location affordability of neighborhoods.”

    Study Results from Visvesvaraya Technological University Provide New Insights into Support Vector Machines (Heart Sound Classification Using Wavelet Scattering Transform and Support Vector Machine)

    101-102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 Support Vector Machines is now available. According to news reportingout of Karnataka, India, by NewsRx editors, the research stated, “A representation of the sound recordingsthat are associated with the movement of the entire cardiac structure is termed the Phonocardiogram(PCG) signal. In diagnosing such diverse diseases of the heart, PCG signals are helpful.”

    Findings on Machine Learning Reported by Investigators at Jiangsu University (Driver Emotion Recognition Involving Multimodal Signals: Electrophysiological Response, Nasal-tip Temperature, and Vehicle Behavior)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on Machine Learning are discussed in a new report. According to news reportingoriginating in Jiangsu, People’s Republic of China, by NewsRx journalists, research stated, “Accurate driveremotion recognition is one of the key challenges in the construction of an intelligent vehicle safety assistantsystem. In this paper, we conduct a driving simulator study on driver emotion recognition.”

    Research from University of Medicine and Pharmacy in Machine Learning Provides New Insights (Machine Learning Models for Prediction of Sex Based on Lumbar Vertebral Morphometry)

    103-104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 intelligence is the subject of a new report. According tonews reporting out of Iasi, Romania, by NewsRx editors, research stated, “Identifying skeletal remains hasbeen and will remain a challenge for forensic experts and forensic anthropologists, especially in disasterswith multiple victims or skeletal remains in an advanced stage of decomposition. This study examined theperformance of two machine learning (ML) algorithms in predicting the person’s sex based only on themorphometry of L1-L5 lumbar vertebrae collected recently from Romanian individuals.”

    China University of Mining and Technology Beijing Reports Findings in Intelligent Vehicles (On Intelligent Mining With Parallel Intelligence)

    104-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in Transportation - Intelligent Vehicles. According to news reportingoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Thelevel of intelligence across various industries, including mining, has experienced a notable advancementsince the introduction of Industry 4.0. However, the societal demands for employee well-being, resourceconservation, and environmental preservation continues to be unavoidable challenges.”