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    New Machine Learning Study Findings Reported from Johns Hopkins University (Validating Ionospheric Models Against Technologically Relevant Metrics)

    58-59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 from Laurel, Maryland, by NewsRx journalists, research stated, “New, open access tools havebeen developed to validate ionospheric models in terms of technologically relevant metrics. These areionospheric errors on GPS 3D position, HF ham radio communications, and peak F-region density.”Financial supporters for this research include National Aeronautics & Space Administration (NASA),Canadian Space Agency.

    New Machine Learning Findings from King Saud University Published (The Effect of Feature Selection on the Accuracy of Xplatform User Credibility Detection with Supervised Machine Learning)

    59-60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 artificial intelligence. According to news reporting outof Riyadh, Saudi Arabia, by NewsRx editors, research stated, “In the era of digital information, onlineplatforms play a crucial role in shaping public opinion.”Financial supporters for this research include Ministry of Education in Saudi Arabia.Our news correspondents obtained a quote from the research from King Saud University: “However,the extensive spread of misinformation and fake news poses a significant challenge, largely fueled by noncredibleusers. Detecting user credibility is vital for ensuring the reliability of information on these platforms.This study employs supervised machine learning algorithms, leveraging key user features to enhance credibilitydetection. Feature selection methods, specifically SelectKBest and correlation-based algorithms,are explored for their impact on X-Platform user credibility detection. Utilizing various classifiers, includingsupport vector machine, logistic regression, and XGBoost, experiments are conducted on the ArPFNdataset, which is a labeled, balanced, publicly available dataset. The evaluation includes measures likeaccuracy, precision, recall, and F1-score to assess efficiency.”

    New Robotics Findings from University of Modena and Reggio Emilia Described (A Dynamic Planner for Safe and Predictable Human-robot Collaboration)

    60-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been presented. According to news reporting originatingfrom Reggio Emilia, Italy, by NewsRx correspondents, research stated, “The new face of modern industrialscenarios involves shared workspaces where humans and robots work closely together. To ensure safehuman-robot collaboration (HRC), regulations have been updated introducing the ISO/TS15066.”

    New Machine Learning Findings from University of Birmingham Discussed (Impact of Formulation and Slurry Properties On Lithium-ion Electrode Manufacturing)

    61-62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 Machine Learning have been published. According to newsreporting originating from Birmingham, United Kingdom, by NewsRx correspondents, research stated, “Thecharacteristics and performance of lithium-ion batteries typically rely on the precise combination of materialsin their component electrodes. Understanding the impact of this formulation and the interdependenciesbetween each component is critical in optimising cell performance.”

    Singidunum University Reports Findings in Artificial Intelligence (Conditioning to true content and artificial intelligence in psychophysiological intention recognition)

    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 Artificial Intelligence is the subject of a report. According to newsoriginating from Belgrade, Serbia, by NewsRx editors, the research stated, “The objective is to introduce anovel method for classical conditioning to true content (CtTC), and for the first time, apply this approachin the concealed information test (CIT) to effectively discern intentions. During CtTC, participants aretrained to exhibit electrodermal responses whenever they recognize true content on a screen.”

    Fujian Medical University Union Hospital Reports Findings in Parkinson’s Disease (Cortical thickness and white matter microstructure predict freezing of gait development in Parkinson’s disease)

    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 Neurodegenerative Diseases and Conditions - Parkinson’s Diseaseis the subject of a report. According to news reporting out of Fuzhou, People’s Republic of China, byNewsRx editors, research stated, “The clinical applications of the association of cortical thickness andwhite matter fiber with freezing of gait (FoG) are limited in patients with Parkinson’s disease (PD). In thisretrospective study, using white matter fiber from diffusion-weighted imaging and cortical thickness fromstructural-weighted imaging of magnetic resonance imaging, we investigated whether a machine learningbasedmodel can help assess the risk of FoG at the individual level in patients with PD.”

    Yanshan University Researcher Provides New Insights into Robotics (Running Gait and Control of Quadruped Robot Based on SLIP Model)

    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 in a new report. According to news reportingoriginating from Qinhuangdao, People’s Republic of China, by NewsRx correspondents, research stated,“Legged robots have shown great adaptability to various environments. However, conventional walkinggaits are insufficient to meet the motion requirements of robots.”Financial supporters for this research include National Excellent Natural Science Foundation of China;Yanzhao’s Young Scientist Project; Hebei Natural Science Foundation; Science Research Project of HebeiEducation Department.

    Investigators at Zhejiang Academy of Agricultural Sciences Report Findings in Machine Learning (Machine Learning Models RevealHow Biochar Amendment Affects Soil Microbial Communities)

    65-66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 Machine Learning. According to news reportingoriginating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Thebiochar amendment plays a vital role in maintaining soil health largely due to its effects on soil microbialcommunities. However, individual cases and the variability in biochar properties are not sufficient to drawuniversal conclusions.”

    Recent Findings from Chongqing Technology and Business Institute Highlight Research in Support Vector Machines (Abnormal noise identification of engines based on wavelet packet transform and bispectrum analysis)

    66-67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 support vector machines. According to news originatingfrom Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Abnormal noiseis the most prominent problem for motorcycles and affects the consumers’ purchasing desire and drivingexperience and the enterprise’s competitiveness. Usually, the noise from a newly assembled engine isdetected by manual auscultation (MA) to determine if the engine is operating normally.”

    North Dakota State University Reports Findings in Machine Learning [Combined Machine Learning, Computational, and Experimental Analysis of the Iridium(III) Complexes with Red to Near-Infrared Emission]

    67-67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 the subject of a report. According to newsoriginating from Fargo, North Dakota, by NewsRx correspondents, research stated, “Various coordinationcomplexes have been the subject of experimental and theoretical studies in recent decades because of theirfascinating photophysical properties. In this work, a combined experimental and computational approachwas applied to investigate the optical properties of monocationic Ir(III) complexes.”