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    New Machine Learning Study Findings Reported from University of Technology Sydne y (Boosting Model Inversion Attacks With Adversarial Examples)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Ultimo, Australia, b y NewsRx editors, research stated, “Model inversion attacks involve reconstructi ng the training data of a target model, which raises serious privacy concerns fo r machine learning models. However, these attacks, especially learning-based met hods, are likely to suffer from low attack accuracy, i.e., low classification ac curacy of these reconstructed data by machine learning classifiers.”

    Reports from Karlsruhe Institute of Technology (KIT) Add New Data to Research in Machine Learning (Recent Progress of Deep Learning Methods for Health Monitorin g of Lithium-Ion Batteries)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from Eggenstein Leopoldshafen , Germany, by NewsRx journalists, research stated, “In recent years, the rapid e volution of transportation electrification has been propelled by the widespread adoption of lithiumion batteries (LIBs) as the primary energy storage solution. The critical need to ensure the safe and efficient operation of these LIBs has positioned battery management systems (BMS) as pivotal components in this landsc ape.” Funders for this research include Helmholtz Association; Kit-publication Fund of The Karlsruhe Institute of Technology.

    Data on Machine Learning Described by a Researcher at University of Science and Technology Houari Boumediene (USTHB) (Forecasting energy demand and efficiency i n a smart home environment through advanced ensemble model: Stacking and voting)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Algiers , Algeria, by NewsRx correspondents, research stated, “Smart homes integrate sev eral sensors to facilitate information exchange and the execution of tasks.” Our news journalists obtained a quote from the research from University of Scien ce and Technology Houari Boumediene (USTHB): “In addition, with the development of the Internet of Things (IoT) platforms, the control of appliances and remote devices has become possible. This sensor collects data in real time to closely m onitor the devices of a user’s household. The present study employs a machine le arning methodology to perform a global analysis of energy consumption and effici ency in smart homes. In This work we propose two advanced ensemble models to imp rove the performance of energy consumption in smart homes, the first one is a vo ting ensemble model based on a ranking weight averaging that combines following basic machine learning techniques: decision tree (DT), random forest (RF), and e Xtreme Gradient Boosting (XGB).”

    Research Data from University of Science and Technology Beijing Update Understan ding of Machine Learning (Prediction and Interpretation of Concrete Corrosion In duced By Carbon Dioxide Using Machine Learning)

    33-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Beijing, People’s Republic o f China, by NewsRx editors, research stated, “The CO 2 -induced corrosion of con crete containing solid waste materials (slag and fly ash) rich in Ca, Si, Al, Fe , and Mg oxides is investigated. In this work, more than 1700 samples are extrac ted, each accompanied by 29 feature data points.”

    Erasmus University Medical Center Reports Findings in Artificial Intelligence (A rtificial intelligence in musculoskeletal imaging: realistic clinical applicatio ns in the next decade)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Rotterdam, Neth erlands, by NewsRx editors, research stated, “This article will provide a perspe ctive review of the most extensively investigated deep learning (DL) application s for musculoskeletal disease detection that have the best potential to translat e into routine clinical practice over the next decade. Deep learning methods for detecting fractures, estimating pediatric bone age, calculating bone measuremen ts such as lower extremity alignment and Cobb angle, and grading osteoarthritis on radiographs have been shown to have high diagnostic performance with many of these applications now commercially available for use in clinical practice.”

    Data from University of Nevada - Las Vegas Provide New Insights into Robotics (' i Was so Scared I Quit'Uncanny Valley Effects of Robots' Human-likeness On Emplo yee Fear and Industry Turnover Intentions)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating in Las Vegas, Nevada, by NewsRx journalists, research stated, “Because of the increased usage of service robots in the hospitality and tourism industries, researchers and practitioners are int erested in learning to facilitate interactions between employees and service rob ots. However, there is little information on how service robots’ humanlike appea rance affects employee emotions and industry turnover intentions.”

    Researchers from Beijing University of Chemical Technology Discuss Research in R obotics (Enhancing undulation of soft robots in granular media: A numerical and experimental study on the effect of anisotropic scales)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on robotics have been publi shed. According to news reporting from Beijing, People’s Republic of China, by N ewsRx journalists, research stated, “Generating efficient locomotion in granular media is important, although it is difficult for robots.” Financial supporters for this research include National Natural Science Foundati on of China; Natural Science Foundation of Liaoning Province; Fundamental Resear ch Funds For The Central Universities.

    Findings from Xiamen University Has Provided New Data on Machine Learning (Machi ne-learning Enhanced Thermal Stability Investigation of Single Shockley Stacking Faults In 4h-sic)

    37-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Fujian, People’s Repu blic of China, by NewsRx correspondents, research stated, “A comprehensive under standing of single Shockley stacking faults (1SSFs) would be crucial for defect control in silicon carbide (SiC). Nevertheless, the thermal stability of 4H-SiC 1SSFs remains unclear due to limitations in conventional technologies.”

    Pusan National University Researcher Details Research in Machine Learning (Strat egies to Enrich Electrochemical Sensing Data with Analytical Relevance for Machi ne Learning Applications: A Focused Review)

    38-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from Busan, South Korea, by NewsRx journalists, research stated, “In this review, recent advances regarding the in tegration of machine learning into electrochemical analysis are overviewed, focu sing on the strategies to increase the analytical context of electrochemical dat a for enhanced machine learning applications.” Funders for this research include National Research Foundation (Nrf) of Korea; M inistry of Science And Ict.

    Data from Simon Fraser University Advance Knowledge in Robotics (Is a Robot Car Still a Car? Consumer Perceptions of Fully Automated Vehicles and Automobility I n Canada)

    39-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating in Burnaby, Canada, by NewsRx jo urnalists, research stated, “Fully automated vehicles (FAVs) could transform pri vate car-based mobility or ‘automobility’, but the direction of FAV impacts is u ncertain and contingent on consumers. We investigate consumer response to FAVs a nd its relationship to automobility by conducting semi-structured interviews wit h 34 new car buyers in British Columbia, Canada.”