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    China Institute for Radiation Protection Reports Findings in Robotics (Simulatio n of defect detection for the buried petroleum pipe by the X-ray backscatter ima ging)

    29-29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 Robotics is the subjec t of a report. According to news reporting out of Taiyuan, People’s Republic of China, by NewsRx editors, research stated, “Ensuring the integrity, safety, and compliance of oil pipelines is crucial for operators. Two significant factors af fecting pipeline integrity are metal loss due to corrosion or air gouging and th e presence of cracks.”

    Data on Artificial Intelligence Reported by Researchers at Guangxi University (The Effect of Medical Artificial Intelligence Innovation Locus On Consumer Adopti on of New Products)

    29-30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 Artificial Intelligence are presented in a new report. According to news reporting out of Nanning, Peopl e’s Republic of China, by NewsRx editors, research stated, “The purpose of this study is to explore the effect of innovation locus on consumers’ adoption of art ificial intelligence products in healthcare. Across four experiments, we demonst rate that consumers are more likely to accept medical artificial intelligence fo r peripheral products than for core products.”

    New Robotics Findings from Northwestern Polytechnic University Described (Spatio temporal Relationship Cognitive Learning for Multirobot Air Combat)

    30-31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 out of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “Cognition is crucial to learningbased multir obot systems (MRSs). As an advanced application of MRSs for fierce confrontation , the relationships among autonomous air combat robots inherently present comple x time-varying characteristics, which makes relationship cognition even more dif ficult.”

    University of Leicester Researcher Adds New Data to Research in Machine Learning (A machine learning approach to characterise fabrication porosity effects on th e mechanical properties of additively manufactured thermoplastic composites)

    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 out of Leicestershire, United Kingdom, by NewsRx editors, research stated, “The investigation of the mechanic al properties of additively manufactured (AM) composite has been the focus of se veral research over the past decades.” Funders for this research include Petroleum Technology Development Fund.

    Studies Conducted at Xiamen University on Machine Learning Recently Reported (En hanced Formation of Methane Hydrates Via Graphene Oxide: Machine Learning Insigh ts From Molecular Dynamics Simulations)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news reporting originating from Xiamen, People’s Republic of C hina, by NewsRx correspondents, research stated, “Gas hydrates, with their signi ficant applications in energy and environment sectors, have emerged as promising technologies for gas separation, natural gas and energy storage. The formation of methane hydrates occurs in substratecontact conditions, where the properties of the substrate surfaces play a crucial role in determining hydrate formation pathways.”

    Research from Prince Sultan University Provide New Insights into Machine Learnin g (Improving the performance of damage repair in thin-walled structures with ana lytical data and machine learning algorithms)

    33-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news reporting from Riyadh, Saudi Arabia, by N ewsRx journalists, research stated, “In the last four decades, bonded composite repair has proven to be an effective method for addressing crack damage propagat ion.” Our news editors obtained a quote from the research from Prince Sultan Universit y: “On the other hand, machine learning (ML) has made it possible to employ a va riety of approaches for mechanical and aerospace problems and such significant a pproach is the repair mechanism and hence ML algorithms used to enhance in the p resent work. The current work investigates the effect of the single-sided compos ite patch bonded on a thin plate under plane stress conditions. An analytical mo del was formulated for a single-sided composite patch repair using linear elasti c fracture mechanics and Rose’s analytical modelling. From the analytical model, the stress intensity factors (SIF) were calculated by varying all possible para meters of the model. Next, ML algorithms were selected, and comparative studies were conducted for the best possible performance and to identify the parametric effects on optimum SIF. Also, the analytical model is validated with existing wo rk, and it shows good agreement with less than 10% error.”

    Recent Findings from Xi'an Jiaotong University Highlight Research in Artificial Intelligence (Exploration on Advanced Intelligent Algorithms of Artificial Intel ligence for Verb Recognition in Machine Translation)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Shaanxi, People’s Republic of C hina, by NewsRx editors, research stated, “This article aimed to address the pro blems of word order confusion, context dependency, and ambiguity in traditional machine translation (MT) methods for verb recognition.” Our news journalists obtained a quote from the research from Xi’an Jiaotong Univ ersity: “By applying advanced intelligent algorithms of artificial intelligence, verb recognition can be better processed and the quality and accuracy of MT can be improved. Based on Neural machine translation (NMT), basic attention mechani sms, historical attention information, dynamically obtain information related to the generated words, and constraint mechanisms were introduced to embed semanti c information, represent polysemy, and annotate semantic roles of verbs. This ar ticle used the Workshop on machine translation (WMT), British National Corpus (B NC), Gutenberg, Reuters Corpus, OpenSubtitles corpus, and enhanced the data in t he corpus. The improved NMT model was compared with traditional NMT models, Rule Based machine translation (RBMT), and Statistical machine translation (SMT).”

    Data on Blood Transfusion Reported by Tiago Andrade Lima and Colleagues (Predict ing the Need for Blood Transfusions in Cardiac Surgery: A Comparison between Mac hine Learning Algorithms and Established Risk Scores in the Brazilian Population )

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Transfusion Medicine - Blood Tran sfusion is the subject of a report. According to news reporting originating in P ernambuco, Brazil, by NewsRx journalists, research stated, “Blood transfusion is a common practice in cardiac surgery, despite its well-known negative effects. To mitigate blood transfusion-associated risks, identifying patients who are at higher risk of needing this procedure is crucial.”

    National University of Singapore Reports Findings in Machine Learning (Comparing feature selection and machine learning approaches for predicting CYP2D6 methyla tion from genetic variation)

    36-37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 Machine Learning is th e subject of a report. According to news reporting from Singapore, Singapore, by NewsRx journalists, research stated, “Pharmacogenetics currently supports clini cal decision-making on the basis of a limited number of variants in a few genes and may benefit paediatric prescribing where there is a need for more precise do sing. Integrating genomic information such as methylation into pharmacogenetic m odels holds the potential to improve their accuracy and consequently prescribing decisions.” Funders for this research include National Research Foundation, Ministry of Heal th, National Medical Research Council, Agency for Science, Technology and Research.

    Studies from Chalmers University of Technology Yield New Data on Machine Learnin g (Physics-informed Machine Learning Models for Ship Speed Prediction)

    37-38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 Ma chine Learning. According to news reporting originating in Gothenburg, Sweden, b y NewsRx journalists, research stated, “This paper proposes a novel physics-info rmed machine learning method to build grey-box model (GBM) predicting ship speed for ocean crossing ships. In this method, the expected ship speed in calm water is first modeled by the physics-informed neural networks (PINNs) based on speed -power model tests.” Financial supporters for this research include Swedish Transport Administration, Vinnova, Swedish Foundation for International Cooperation in Research and Highe r Education, Fundamental Research Funds for the Central Universities.