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    New Machine Learning Findings from University of Science and Technology Beijing Outlined (The Design Method for Surface Texture of Sliding Friction Pairs Based On Machine Learning Under Mixed Lubrication)

    48-49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 Machine Learn ing have been published. According to newsreporting out of Beijing, People’s Re public of China, by NewsRx editors, research stated, “Surface textureplays an i mportant role in reducing friction, which has been widely applied in mechanical equipment. Inthis paper, a surface texture design method for sliding friction p airs based on machine learning is proposed,which consists of three parts: model training and construction, texture design and result verification.”

    Studies from Nanjing University of Finance and Economics Reveal New Findings on Robotics (Kicking the Robots: the Roles of Transformational Leadership and Fear On Service Robot Risk Awareness and Robot Abuse Relationship)

    49-50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 Robotics. According to news originating fromNanjing, People’s Republic of China , by NewsRx correspondents, research stated, “Service robots areincreasingly pr evalent in the hospitality industry. While studies have explored the concept of service robotrisk awareness (SRRA) - an employee’s perception of service robots posing a threat to human labor - theimpact of SRRA on robot abuse and its emot ional mechanism through which it affects employees remainsunclear.”

    New Findings from Hebei Normal University in the Area of Machine Learning Descri bed (Machine-learning-aided Au-based Single-atom Alloy Catalysts Discovery for E lectrochemical No Reduction Reaction To Nh3)

    50-51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 from Shijiazhuang, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Direct electr ochemical conversion of NO to NH3 has attracted widespread interest as a green a ndsustainable strategy for both ammonia synthesis and nitric oxide removal. How ever, designing efficientcatalysts remains challenging due to the complex react ion mechanism and competing side reactions.”

    Affiliated Hospital Researcher Describes Research in Artificial Intelligence (Co mparative outcomes of AI-assisted ChatGPT and faceto-face consultations in infe rtility patients: a cross-sectional study)

    51-52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 reportingoriginating from Luzhou, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Withthe adv ent of artificial intelligence (AI) in healthcare, digital platforms like ChatGP T offer innovativealternatives to traditional medical consultations. This study seeks to understand the comparative outcomesof AI-assisted ChatGPT consultatio ns and conventional face-to-face interactions among infertility patients.”

    Huazhong University of Science and Technology Researcher Reports Research in Mac hine Learning (Identification of Calculous Pyonephrosis by CT-Based Radiomics an d Deep Learning)

    52-53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 fromWuhan, People’s Republic of C hina, by NewsRx journalists, research stated, “Urgent detection of calculouspyo nephrosis is crucial for surgical planning and preventing severe outcomes. This study aims to evaluatethe performance of computed tomography (CT)-based radiomi cs and a three-dimensional convolutionalneural network (3D-CNN) model, integrat ed with independent clinical factors, to identify patients withcalculous pyonep hrosis.”

    Beijing Jiaotong University Researcher Reports on Findings in Machine Learning ( Nonlinear Relationship of Multi-Source Land Use Features with Temporal Travel Di stances at Subway Station Level: Empirical Study from Xi’an City)

    53-54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 new report. According to newsreporting from Beijing, Peop le’s Republic of China, by NewsRx journalists, research stated, “The operationo f the subway system necessitates a comprehensive understanding of passenger flow characteristics atstation locations, as well as a keen awareness of the averag e travel distances at these stations.”

    Dokuz Eylul University Researcher Adds New Data to Research in Machine Learning [Machine Learning Model Development to Predict Power Outage D uration (POD): A Case Study for Electric Utilities]

    54-55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 new report. According tonews reporting out of Izmir, Turk ey, by NewsRx editors, research stated, “In the face of increasing climatevaria bility and the complexities of modern power grids, managing power outages in ele ctric utilities hasemerged as a critical challenge.”

    Amsterdam University Medical Center Reports Findings in Robotics (Swallowing out comes after transoral robotic surgery and adjuvant treatment in unknown primary)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news originating fromAmsterdam, Netherlands, by New sRx correspondents, research stated, “Robotic transoral mucosectomy ofthe base of tongue was introduced as a diagnostic procedure in patients treated for head and neck cancerwith unknown primary (CUP), increasing the identification rate o f the primary tumour. For the treatmentof CUP, a considerable percentage of pat ients require adjuvant (chemo)radiation.”

    Data from University of Bologna Update Knowledge in Artificial Intelligence (Cre ative influence prediction using graph theory)

    56-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news reporting out of Bologna,Italy, by NewsRx editors, re search stated, “Creative influence is responsible for a considerable part of thecreative process of an artist and can largely be associated with their social c ircle.”

    Imam Abdulrahman Bin Faisal University Researcher Advances Knowledge in Machine Learning (Machine Learning for Predicting Neutron Effective Dose)

    57-57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 reportingout of Dammam, Saudi Arabia, by NewsRx editors, research stated, “The calculation of effective dosesis cruci al in many medical and radiation fields in order to ensure safety and compliance with regulatorylimits. Traditionally, Monte Carlo codes using detailed human b ody computational phantoms have beenused for such calculations.”