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    Data from Shanghai Jiao Tong University Provide New Insights into Robotics (A Si mple Curvature-Based Backward Path-Tracking Control for a Mobile Robot with N Tr ailers)

    39-39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 ro botics. According to news reporting originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “This paperintroduces a t wo-tier feedback control law for the path tracking of a mobile robot equipped wi th Non-axle trailers.”

    Research from Sichuan Agricultural University Reveals New Findings on Machine Le arning (Modeling landslide susceptibility using alternating decision tree and su pport vector)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According tonews reporting from Sichuan Agricult ural University by NewsRx journalists, research stated, “Globally,but especiall y in the Chinese Loess Plateau, landslides are considered to be one of the most severe andsignificant geological hazards. The purpose of this study is to desig n two ensemble machine learningmethods, which are denoted as ADTree-Dagging and SVM-Dagging, for modeling landslide susceptibilityin Lanzhou City (China).”

    New Findings on Machine Learning Described by Investigators at Nanyang Technolog ical University (Intelligent Detection of Dynamic Cracking Along an Interface of Brittle Material Using Highspeed Photography Assisted By Data Augmentation and ...)

    41-411页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Singapore, Singapore, b y NewsRx journalists, research stated, “Dynamic cracking alongan interface of b rittle material is a fundamental knowledge of rock faulting but remain largely e nigmatic.Laboratory investigation of the extremely fast process requires the us e of advanced high-speed photography,which limits wide participation in this re search.”

    Study Results from Mayo Clinic Provide New Insights into Artificial Intelligence (Can We Screen Opportunistically for Low Bone Mineral Density Using Ct Scans of the Shoulder and Artificial Intelligence?)

    42-42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 in Jacksonville, Florida, by NewsRx journalists, research stated, “To evaluate whether the CTatt enuation of bones seen on shoulder CT scans could be used to predict low bone mi neral density (BMD)(osteopenia/osteoporosis), and to compare the performance of two machine learning models to predict lowBMD.Methods In this study, we evalua ted 194 patients aged 50 years or greater (69.2 +/- 9.1 years;170 females) who underwent unenhanced shoulder CT scans and dual-energy X-ray absorptiometry within 1 year of each other between January 1, 2010, and December 31, 2021. The CT a ttenuation of thehumerus, glenoid, coracoid, acromion, clavicle, first, second, and third ribs was obtained using 3D-Slicer.”

    Data on Machine Learning Detailed by a Researcher at Changchun University (Energ y efficiency in cooling systems: integrating machine learning and meta-heuristic algorithms for precise cooling load prediction)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in artificial intelligence. According to news originating from Jilin,People’s Republic of Chi na, by NewsRx correspondents, research stated, “Since cooling load estimationdi rectly impacts air conditioning control and chiller optimization, it is essentia l for increasing the energyefficiency of cooling systems. Machine learning outs hines traditional regression analysis by efficientlymanaging vast datasets and discerning complex patterns influenced by various factors like occupancy,buildi ng materials, and meteorology.”

    Researcher at Chinese Academy of Sciences Publishes New Data on Robotics (Design of an Automatic Sealing Mechanism for Extraterrestrial Sample-Collecting Robot)

    44-44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 robotics have been published. According to news originatingfrom Beijing, People’s Republic o f China, by NewsRx correspondents, research stated, “Returning extraterrestrialsamples to Earth for analysis is crucial for planetary geological research and r esource utilization.”

    New Artificial Intelligence Findings from Management Development Institute Descr ibed (Exploring the Motivations Behind Artificial Intelligence Adoption for Buil ding Resilient Supply Chains: a Systematic Literature Review and Future Research ...)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Artificial Intelligence are presented in a new report. According to news originating from Gurgaon, India , by NewsRx correspondents, research stated, “The study aims tosynthesize exist ing knowledge and proposes a research framework for building a resilient supply chain (SC)through artificial intelligence (AI) technology. It also identifies e xisting literature gaps and paves the wayfor a future research agenda.”

    Reports Outline Artificial Intelligence Study Results from School of Medicine (E thics of Artificial Intelligence In Dermatology)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Artificial Intelligence are presented in a new report. According to newsoriginating from Farmington, Co nnecticut, by NewsRx correspondents, research stated, “The integrationof artifi cial intelligence (AI) in dermatology holds promise for enhancing clinical accur acy, enablingearlier detection of skin malignancies, suggesting potential manag ement of skin lesions and eruptions, and promoting improved continuity of care. AI implementation in dermatology, however, raises several ethicalconcerns.”

    Studies from Chongqing University Yield New Information about Machine Learning ( Machine Learning Solution for Regional Landslide Susceptibility Based On Fault Z one Division Strategy)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reporting outof Chongqing, People’s Republic of C hina, by NewsRx editors, research stated, “Landslide susceptibilityassessment i s an essential tool for disaster prevention and management. In areas with multip le faultzones, the impact of fault zone on slope stability cannot be disregarde d.”

    Findings from China University of Geosciences Beijing in Machine Learning Report ed (Interactive Machine Learning for Segmenting Pores of Sandstone In Computed T omography Images)

    47-48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 Beijing, People’s Republic of China, by NewsRx journalists, research stated, “In the realm of gas fielddevel opment and CO2/H2 geological storage, the precise characterization of reservoir parameters standsas a critical role. In recent years, digital rock technology h as emerged as a cutting-edge tool for examiningmicro-pore structures, permeabil ity parameter characteristics, and reservoir flow mechanisms.”