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    National Center for Tumor Diseases Reports Findings in Artificial Intelligence (Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics)

    56-57页
    查看更多>>摘要:New research on Artificial Intelligence is the subject of a report. According to news originating from Heidelberg, Germany, by NewsRx correspondents, research stated, “The development of artificial intelligence (AI)-based melanoma classifiers typically calls for large, centralized datasets, requiring hospitals to give away their patient data, which raises serious privacy concerns. To address this concern, decentralized federated learning has been proposed, where classifier development is distributed across hospitals.”

    Reports from Huazhong University of Science and Technology Advance Knowledge in Robotics (Knowledge-wrapping Method for Prediction and Evaluation of Material Removal Behavior In Robotic Belt Grinding)

    57-58页
    查看更多>>摘要:Current study results on Robotics have been published. According to news reporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Reliable prediction and evaluation of material removal (MR) is a continuing pursuit in the grinding process. Mechanistic and empirical MR models always suffer from inaccuracies and restricted applicability, whereas data-driven approaches remain deficient in sample dependence, generalization, and physical interpretability.”

    Tomsk Polytechnic University Researchers Publish New Data on Machine Learning (Supervised machine learning with regression for the IRT-T reactor cooling system)

    58-59页
    查看更多>>摘要:Investigators publish new report on artificial intelligence. According to news reporting originating from Tomsk Polytechnic University by NewsRx correspondents, research stated, “The purpose of this study is to create a machine learning model for the IRT-T reactor cooling system, which can estimate and predict the temperature difference in the secondary circuit.”

    Radiology Unit Reports Findings in Machine Learning (Machine learning-based radiomics analysis in predicting RAS mutational status using magnetic resonance imaging)

    59-60页
    查看更多>>摘要:New research on Machine Learning is the subject of a report. According to news reporting from Naples, Italy, by NewsRx journalists, research stated, “To assess the efficacy of radiomics features, obtained by magnetic resonance imaging (MRI) with hepatospecific contrast agent, in pre-surgical setting, to predict RAS mutational status in liver metastases. Patients with MRI in pre-surgical setting were enrolled in a retrospective study.”

    Research Results from National Resource Center for Chinese Materia Medica Update Knowledge of Imaging Technology (Identification and Classification of Coix seed Storage Years Based on Hyperspectral Imaging Technology Combined with Deep Learning)

    60-61页
    查看更多>>摘要:Data detailed on imaging technology have been presented. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Developing a fast and non-destructive methodology to identify the storage years of Coix seed is important in safeguarding consumer well-being.” Financial supporters for this research include Scientific And Technological Innovation Project of China Academy of Chinese Medical Sciences; Quality And Technical Service Platform For Traditional-chinesemedicine Whole Industry Chain; Fundamental Research Funds For The Central Public Welfare Research Institutes; Innovation Team And Talents Cultivation Program of National Administration of Traditional Chinese Medicine; China Agricultural Research System of Mof And Mara.

    Research Data from Babes-Bolyai University Update Understanding of Artificial Intelligence (Prayer and AI: Exploring the Impact on Orthodox Romanian Youth in a Confessional High School Context)

    61-62页
    查看更多>>摘要:Researchers detail new data in artificial intelligence. According to news originating from Cluj Napoca, Romania, by NewsRx correspondents, research stated, “The study’s main objective is to identify and analyze the attitude toward prayer of teenagers in a denominational school in Romania and the need to use AI-assisted tools.”

    Southeast University Researcher Updates Understanding of Machine Learning (Prediction of Hydration Heat for Diverse Cementitious Composites through a Machine Learning-Based Approach)

    62-63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 artificial intelligence. According to news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Hydration plays a crucial role in cement composites, but the traditional methods for measuring hydration heat face several limitations.”

    New Robotics Findings from North University of China Outlined (Design and Optimization of a Novel Double-layer Helmholtz Coil for Wirelessly Powering a Capsule Robot)

    63-64页
    查看更多>>摘要:Current study results on Robotics have been published. According to news reporting out of Taiyuan, People’s Republic of China, by NewsRx editors, research stated, “Inductively coupled wireless power transfer (IWPT) is promising to power a freely moving capsule robot (CR) continuously. The existing IWPT system for this application normally adopts a single-layer Helmholtz coil (SHC), which can generate a uniform alternating magnetic field (AMF) to cover the CR workspace but leads to low power transfer efficiency (PTE).”

    New Robotics Data Have Been Reported by Researchers at University of Nottingham (Multi-agent Cooperative Swarm Learning for Dynamic Layout Optimisation of Reconfigurable Robotic Assembly Cells Based On Digital Twin)

    64-65页
    查看更多>>摘要:Fresh data on Robotics are presented in a new report. According to news reporting originating in Nottingham, United Kingdom, by NewsRx journalists, research stated, “To meet the requirement of product variety and short production cycle, reconfigurable manufacturing system is considered as an effective solution in addressing current challenges, such as increasing customisation, high flexibility and dynamic market demand. Dynamic factory layout design and optimisation are the crucial factors in response to rapid change in the mechanical structure, software and hardware integration, as well as production capability and functionality adjustment.”

    Investigators at Southwest Jiaotong University Report Findings in Automated Reasoning (A Complementary Ratio Based Clause Selection Method for Contradiction Separation Dynamic Deduction)

    65-66页
    查看更多>>摘要:Investigators publish new report on Automated Reasoning. According to news reporting originating in Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Automated reasoning is a key research area of Artificial Intelligence (AI) and has attracted much greater attention in recent years due to the demands of trustworthy AI, where binary resolution inference rule based firstorder automated reasoning play a crucial role. Recently, a novel multi-clause dynamic standard contradiction separation (S-CS) inference rule and related automated deduction theory were proposed to overcome the limitations of binary resolution-based automated deduction.”