首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    University of Pisa Reports Findings in Coronavirus (Antimicrobial Efficacy of an Experimental Uv-c Robot In Controlled Conditions and In Real Hospital Scenario)

    163-164页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on RNA Viruses - Coronavi rus is the subject of a report. Accordingto news reporting originating in Pisa, Italy, by NewsRx journalists, research stated, “Among no-touchautomatized disi nfection devices, UV-C radiation proved to be one of the most effective against a broadspectrumof microorganisms causing healthcare-associated infections. To evaluate the antimicrobial efficacy of an experimental UV-C robotic platform, un der controlled conditions and in a real hospital scenario,when used to implemen t the Standard cleaning Operating Protocol (SOP).”

    New Findings Reported from Kyiv National University of Construction and Architec ture Describe Advances in Robotics (Complex Dynamics at the Intersection of Comp uter Algorithms and Robotic Function)

    164-165页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on robotics. Acc ording to news originating from Kyiv NationalUniversity of Construction and Arc hitecture by NewsRx editors, the research stated, “The merging ofcomputer scien ce and robotic technology creates a synergistic environment where advances are c hanginghealthcare, manufacturing, and service industries. Although some publica tions have shown their successes,complete research on the fusion and interface of computer science algorithms and robotic tasks is stillneeded.”

    Findings from University of Electronic Science and Technology of China Yields Ne w Findings on Machine Learning (Improved Gradient Leakage Attack Against Compres sed Gradients In Federated Learning)

    165-166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 reportingoriginating from Sichuan, People’s Republic of China, by NewsRx correspondents, research stated, “Distributedmachi ne learning, such as federated learning, protects privacy by collecting gradient s instead oftraining data. Recent studies have shown that gradient leakage atta cks are possible in distributed machinelearning, that is, the training data can be reconstructed from the shared gradients.”

    Research from University of Information Technology Reveals New Findings on Machi ne Learning (Advancing Scholarship Management: A Blockchain-Enhanced Platform Wi th Privacy-Secure Identities and AI-Driven Recommendations)

    166-167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 Ho Chi Minh City, Viet nam, by NewsRx correspondents, research stated, “Traditional scholarshipmanagem ent systems are often marred by inefficiencies, a lack of transparency, and sign ificant concernsregarding data privacy.”

    New Machine Learning Study Findings Have Been Reported from Qujing Normal Univer sity (Diagnosis of Corn Leaf Diseases By Ftir Spectroscopy Combined With Machine Learning)

    167-168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 from Qujing, People’s Republic of China, by NewsRx correspondents, research stated, “Cornis among the world’s most vital crops, yet its yield and quality are often compromised by le af diseases.Timely and accurate detection of such diseases is thus crucial.”

    Researchers’ Work from Lanzhou University of Technology Focuses on Machine Learn ing (First-principles Simulation of Electronic Properties of Mob/si3n4 Superlatt ices Via Machine Learning)

    168-169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 reportingfrom Lanzhou, People’s Republic of China, by NewsRx journalists, research stated, “MBene materials andSi3N4 mater ials have excellent properties, but there are still many technical bottlenecks i n the preparationof high-performance and flexible structure electronic device m aterials. In this paper, MBene is combinedwith Si3N4 materials to form a superl attice structure, which is composed of six superlattice heterostructures.”

    Data on Machine Learning Detailed by Researchers at Harbin University (Interpret able Machine Learning for Simultaneous Designing Martensitic Transformation Temp erature and Thermal Hysteresis of High-entropy Shape Memory Alloys)

    169-170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 Ma chine Learning. According to news reportingoriginating in Harbin, People’s Repu blic of China, by NewsRx journalists, research stated, “As an excellentfunction al material, high-entropy shape memory alloy (HESMAs) exhibits tremendous applic ation potentialin various fields such as actuators and energy exploration due t o its advantages of high strength, highhardness, and corrosion resistance. The key factors determining the application potential of HESMAs aremartensitic tran sformation temperature and thermal hysteresis.”

    Reports from Delft University of Technology Describe Recent Advances in Machine Learning (Constrained Infinitesimal Dipole Modeling-assisted Ensemble Prediction of Embedded Element Patterns Via Machine Learning)

    170-171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 reportingout of Delft, Netherlands, by News Rx editors, research stated, “A novel ensemble prediction technique isintroduce d to enhance the accuracy of far-field embedded element pattern (EEP) prediction under mutualcoupling (MC) effects, while relaxing the training data size chall enge in neural network (NN)-basedalgorithms.”

    Albert-Ludwigs-University Reports Findings in Artificial Intelligence (Decoding the Digital Pulse: Bibliometric Analysis of 25 Years in Digital Health Research Through the Journal of Medical Internet Research)

    171-172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 report. According to newsoriginating from Freiburg, Germa ny, by NewsRx correspondents, research stated, “As the digital healthlandscape continues to evolve, analyzing the progress and direction of the field can yield valuable insights.The Journal of Medical Internet Research (JMIR) has been at the forefront of disseminating digital healthresearch since 1999.”

    Maastricht University Medical Center Reports Findings in Artificial Intelligence (Weakly-supervised classification of Mohs surgical sections using artificial in telligence)

    172-173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 report. According to newsreporting originating from Maast richt, Netherlands, by NewsRx correspondents, research stated, “Basalcell carci noma (BCC) is the most frequently diagnosed form of skin cancer, and its inciden ce continuesto rise, particularly among older individuals. This trend puts a si gnificant strain on healthcare systems,especially in terms of histopathologic d iagnostics required for Mohs micrographic surgery (MMS), whichis used to treat BCC in sensitive locations to minimize tissue loss.”