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    Reports on Machine Learning Findings from University of Science and Technology B eijing Provide New Insights (Applying Machine Learning Approach In Predicting Sh ort-term Rockburst Risks Using Microseismic Information: a Comparison of Paramet ric ...)

    11-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Beijing, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Microseismic (MS) information is often utilised in deep underground engineering projects for the earlywarning of short-term rockburst hazards. Due to the complex nature of rockburst occurrence, predictingshort-term rockburst is always challenging.”

    New Data from Tsinghua University Illuminate Findings in Robotics and Automation (Easycalib: Simple and Low-cost In-situ Calibration for Force Reconstruction Wi th Vision-based Tactile Sensors)

    12-12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 Robotic s - Robotics and Automation. Accordingto news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, researchstated, “For elasto mer-based tactile sensors, represented by vision-based tactile sensors, routine calibrationof mechanical parameters (Young’s modulus and Poisson’s ratio) has b een shown to be important forforce reconstruction. However, the reliance on exi sting in-situ calibration methods for accurate forcemeasurements limits their c ost-effective and flexible applications.”

    Researchers from Jilin University Report Findings in Machine Learning (Partial M elting Nature of Phase-change Memory Ge-sb-te Superlattice Uncovered By Large-sc ale Machine Learning Interatomic Potential Molecular Dynamics)

    13-14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 inChangchun, People’s Republic of Chin a, by NewsRx journalists, research stated, “[GeTe] m-[Sb2Te3]n superlattice (GST-SL) is a pro mising material candidate to solve the critical problem of highpowerconsumption for phase-change memory technology. However, the switching mechanism is still u nderstrong debate during the last decade.”

    Tongren Hospital of Wuhan University Reports Findings in Support Vector Machines (Abnormal postcentral gyrus voxel-mirrored homotopic connectivity as a biomarke r of mild cognitive impairment: A resting-state fMRI and support vector machine ...)

    14-14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 to newsreporting originating in Hubei, People’s Republic of China, by NewsRx journalists, research stated, “Whilepatie nts affected by mild cognitive impairment (MCI) exhibit characteristic voxel-mir rored homotopicconnectivity (VMHC) alterations, the ability of such VMHC abnorm alities to predict the diagnosis of MCIin these patients remains uncertain. As such, this study was performed to evaluate the potential role ofVMHC abnormalit ies in the diagnosis of MCI.”

    Research on Machine Learning Discussed by a Researcher at Ohio University (Machi ne Learning Recognizes Frequency-Following Responses in American Adults: Effects of Reference Spectrogram and Stimulus Token)

    15-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in artificial intelli gence. According to news reporting originating fromAthens, Ohio, by NewsRx corr espondents, research stated, “Electrophysiological research has been widelyutil ized to study brain responses to acoustic stimuli. The frequency-following respo nse (FFR), a noninvasivereflection of how the brain encodes acoustic stimuli, is a particularly propitious electrophysiologicmeasure.”

    School of Engineering and Sciences Researchers Publish Findings in Machine Learn ing (Improving Armed People Detection on Video Surveillance Through Heuristics a nd Machine Learning Models)

    16-17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 new report. According tonews reporting from Nuevo Leon, M exico, by NewsRx journalists, research stated, “Much research aimsto enhance we apon detection by applying different techniques to object detection models. Howe ver, littleresearch focuses on identifying armed people through real-time surve illance cameras.”

    New Machine Learning Research from Emory University Discussed (Don’t let your an alysis go to seed: on the impact of random seed on machine learning-based causal inference)

    16-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from Atlanta, Georgia, by NewsRx correspondents, research stated, “Machine learning techniquesfor cau sal effect estimation can enhance the reliability of epidemiologic analyses, red ucing theirdependence on correct model specifications.”

    Reports Summarize Cognitive Robotics Research from Shenyang Normal University (U nmanned aerial vehicles advances in object detection and communication security review)

    17-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on cognitive robotics ha ve been presented. According to news originatingfrom Shenyang, People’s Republi c of China, by NewsRx correspondents, research stated, “Unmanned AerialVehicles (UAVs) have become increasingly popular in recent years, with a wide range of a pplications inareas such as surveying, delivery, and security. UAV technology p lays an important role in human life.”

    New Machine Learning Study Findings Have Been Reported by Researchers at Northea stern University (Prediction and Analysis of Mechanical Properties of Hot-rolled Strip Steel Based On an Interpretable Machine Learning)

    18-19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 Learn ing have been published. According to newsreporting originating from Shenyang, People’s Republic of China, by NewsRx correspondents, researchstated, “Establis hing a low-cost, high-precision predictive model for mechanical properties is cr ucialfor enhancing the properties of steel. Due to the complexity of the steel production process, traditionalmechanistic models struggle to efficiently and a ccurately describe the relationships among alloy elements,processes, and proper ties.”

    Investigators at Texas A&M University Report Findings in Robotics ( Epssnet: a Lightweight Network With Edge Processing and Semantic Segmentation fo r Mobile Robotics)

    19-20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 Robotics. According to news originating fromSan Antonio, Texas, by NewsRx corre spondents, research stated, “Fast and accurate segmentation isimportant for rob ot judgement, e.g. robot detection, segmentation, and control. Most researchers havefocused on deploying lightweight semantic segmentation models into robot se rvices.”