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    Studies from China University of Geosciences Yield New Data on Artificial Intell igence (Plays: Minimizing Dnn Inference Latency In Serverless Edge Cloud for Art ificial Intelligence of Things)

    68-68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 newsreporting originating from Wuh an, People’s Republic of China, by NewsRx correspondents, research stated,“Than ks to the capability of fine-grained resource allocation and fast task schedulin g, serverless computinghas been adopted into edge cloud to accommodate various applications, e.g., deep neural network (DNN)inference for Artificial Intellige nce of Things (AIoT). In serverless edge cloud, the servers are started upon-de mand.”

    Studies from Athabasca University Yield New Data on Machine Learning (Predicting Stream Flows and Dynamics of the Athabasca River Basin Using Machine Learning)

    69-69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 ar tificial intelligence. According to news originatingfrom Athabasca University b y NewsRx editors, the research stated, “Streamflow forecasting is of greatimpor tance in water resource management and flood warnings. Machine learning techniqu es can beutilized to assist with river flow forecasting.”

    Imperial College London Reports Findings in Machine Learning (Correlation analys is and recurrence evaluation system for patients with recurrent hepatolithiasis: a multicentre retrospective study)

    70-70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 newsreporting from London, United Kingdom, by NewsRx journalists, research stated, “Methods for accuratelypredicting the p rognosis of patients with recurrent hepatolithiasis (RH) after biliary surgery a re lacking.This study aimed to develop a model that dynamically predicts the ri sk of hepatolithiasis recurrence usinga machine-learning (ML) approach based on multiple clinical high-order correlation data.”

    New Findings Reported from East China University of Technology Describe Advances in Machine Learning (An Optimized Nonlandslide Sampling Method for Landslide S usceptibility Evaluation Using Machine Learning Models)

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Nanchang, People’s Republic of China, by NewsRx journalists, research stated, “Machine learningmodels are ext ensively utilized in landslide susceptibility (LS) mapping. However, the convent ionalselection of non-landslide samples often contains numerous flaws, potentia lly leading to unscientific andinaccurate LS assessments.”

    Researchers from Stanford University Report on Findings in Robotics (Large-scale Vine Robots for Industrial Inspection: Developing a New Framework To Overcome L imitations With Existing Inspection Methods)

    72-72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. According to news originating from Stanford,California, by NewsRx correspond ents, research stated, “Industrial facilities such as chemical factories, gaste rminals, and power plants can contain kilometers of piping that require meticulo us inspection for leaksand defects prior to operation. This is a costly and tim e-consuming process that sometimes requiresdismantling sections of pipe.”

    Findings on Robotics Reported by Investigators at Zhejiang University (End-effec tor Contact Force Estimation for the Industrial Robot In Automated Fiber Placeme nt Processes With Dynamic End-load Variations)

    73-74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 Robotics have been published. According to news originatingfrom Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Contact force estimation m akes the interaction between the robot and the environment perceptible and contr ollablewithout the need for additional sensor devices. For robots used in Autom ated Fiber Placement (AFP),contact force estimation is primarily aimed at grasp ing the magnitude and real-time variations of thecompaction roller force, which is one of the most critical process parameters in AFP, directly related tolayu p accuracy and quality.”

    Shahed University Researchers Provide New Study Findings on Machine Learning (A space-time least-squares support vector regression scheme for inverse source pro blem of the time-fractional wave equation)

    73-73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 reporting fromTehran, Iran, by NewsRx journ alists, research stated, “The inverse problems in various fields of appliedscie nces and industrial design are concerned with the estimation of parameters that cannot be directlymeasured.”

    University of Macau Reports Findings in Machine Learning [For mulationBCS: A Machine Learning Platform Based on Diverse Molecular Representati ons for Biopharmaceutical Classification System (BCS) Class Prediction]

    75-76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 newsreporting originating in Macau, People’ s Republic of China, by NewsRx journalists, research stated, “TheBiopharmaceuti cs Classification System (BCS) has facilitated biowaivers and played a significa nt rolein enhancing drug regulation and development efficiency. However, the pr oductivity of measuring thekey discriminative properties of BCS, solubility and permeability, still requires improvement, limiting highthroughputapplications of BCS, which is essential for evaluating drug candidate developability and guiding formulation decisions in the early stages of drug development.”

    University of Milano Bicocca Reports Findings in Parkinson’s Disease (Effectiven ess of robot-assisted training in adults with Parkinson’s disease: a systematic review and meta-analysis)

    76-77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 Dise ases and Conditions - Parkinson’s Diseaseis the subject of a report. According to news reporting originating in Milan, Italy, by NewsRx journalists,research s tated, “This work aimed to update and summarize the existing evidence on the eff ectivenessof robot-assisted training (RAT) in adults with Parkinson’s disease ( PD). We conducted a systematicreview with meta-analysis, reported following the Preferred Reporting Items for Systematic Reviews andMeta-Analyses guidelines ( PROSPERO CRD42022371124).”

    New Machine Learning Data Have Been Reported by Researchers at Indian Institute for Technology (Raman-induced Wavelength Shift In Chalcogenide Microstructure Fi ber: Temperature Sensing and Machine Learning Analysis)

    77-77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 newsreporting from Kharagpur, India, by New sRx journalists, research stated, “In this article, we present ouranalysis of t he Raman-induced wavelength shift (RIWS) in configuring high-performance tempera turesensor by employing a highly nonlinear Chalcogenide (As30S70) microstructur ed optical fiber (MOF)having central holes partially filled with Chloroform (CH Cl3).”