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    Bucharest University of Economic Studies Researchers Describe Research in Artifi cial Intelligence (Adapting the Competences of the Employed Personnel in the Con text of the Integration of Artificial Intelligence in Organizations)

    19-20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 artificial in telligence have been published. According to newsreporting out of Bucharest Uni versity of Economic Studies by NewsRx editors, research stated, “Artificialinte lligence (AI) has been part of organisational activity for a long time, but unti l the launch of theChatGPT application at the end of 2022, it was not discussed in such a comprehensive way.”

    Research Study Findings from National Technical University of Athens Update Unde rstanding of Robotics (Effect of Corrosion and Post-Weld Treatment on the Fatigu e Behavior of Multipass Robot GMAW Welds of S700MC Steel)

    20-21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 originating fromAthens, Greece, by NewsRx corresponde nts, research stated, “High-strength steel is a candidate materialfor offshore structures, which are currently being constructed with regular-strength steel.”

    Findings from Muzaffarpur Institute of Technology (MIT Muzaffarpur) Provides New Data about Machine Learning (Prediction of Compressive Strength of High-volume Fly Ash Self-compacting Concrete With Silica Fume Using Machine Learning Techniq ues)

    21-22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 in Muzaffarpur, India, by NewsRx journalists, research stated, “The quality and compositionof the comp onents in Self-Compacting Concrete (SCC) determine its compressive strength; how ever,determining these complex relationships through traditional statistical me thods is difficult. This study usesfive state-of-the-art machine learning techn iques, namely, Random Forest (RF), Adaboost, ConvolutionalNeural Network (CNN), K-Nearest Neighbor (KNN), and Bidirectional Long Short-Term Memory (BILSTM),t o simulate the strength properties of high-volume fly ash self-compacting concre te (HVFA-SCC)with silica fume.”

    Studies Conducted at Shanghai Jiao Tong University on Robotics and Automation Re cently Reported (Design and Implementation of a Bone-shaped Hybrid Aerial Underw ater Vehicle)

    22-23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 Robotic s - Robotics and Automation. According tonews originating from Shanghai, People ’s Republic of China, by NewsRx correspondents, research stated,“The hybrid aer ial underwater vehicles (HAUVs) have promising applications due to their capabil ity tooperate in both air and water domains. It is a challenge to balance the r apid maneuverability in bothmedia and the stability at the cross-domain phase.”

    Findings from University of Hawaii Manoa Yields New Findings on Machine Learning (Machine-learning Approach for Estimating Passenger Car Equivalent Factors Usin g Crowdsourced Data)

    23-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Hono lulu, Hawaii, by NewsRx correspondents, research stated, “Passengercar equivale nt (PCE) factors are used by the Highway Capacity Manual (HCM) to convert truck volumesto equivalent passenger car volumes and are typically calculated using m ulti-class volumes collected fromtraffic sensors. However, this requires costly sensor installations that provide limited spatial coverage.”

    University of Kebangsaan Reports Findings in Cardiovascular Diseases and Conditi ons (Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitti ng …)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cardiovascular Disease s and Conditions is the subject of a report.According to news reporting from Se langor, Malaysia, by NewsRx journalists, research stated, “GlobalCardiovascular disease (CVD) is still one of the leading causes of death and requires the enha ncement ofdiagnostic methods for the effective detection of early signs and pre diction of the disease outcomes. The current diagnostic tools are cumbersome and imprecise especially with complex diseases, thus emphasizingthe incorporation of new machine learning applications in differential diagnosis.”

    University of Nottingham Researchers Report on Findings in Robotics (Multimodal locomotion ultra-thin soft robots for exploration of narrow spaces)

    24-24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 robotics is now availab le. According to news reporting out of theUniversity of Nottingham by NewsRx ed itors, research stated, “From power plants on land to bridgesover the sea, safe ty-critical built environments require periodic inspections for detecting issues to avoidfunctional discontinuities of these installations.”

    Researchers at Southwest Jiaotong University Report New Data on Robotics (Human- robot Interactive Skill Learning and Correction for Polishing Based On Dynamic T ime Warping Iterative Learning Control)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news originating fromChengdu, People’s Republic of China, by NewsRx correspondents, research stated, “To achieve rapid andflexible deplo yment of robots in the finishing process of small batch workpieces, this article proposes aframework for human-robot interactive (HRI) skill learning and corre ction based on improved dynamictime warping iterative learning control (DTW-ILC ). First, we incorporate Gaussian mixture model (GMM)with DTW-ILC approach to e nable the robot to learn polishing skills from human demonstration andinteracti on.”

    Report Summarizes Robotics and Automation Study Findings from Beijing Jiaotong U niversity (Monosample: Synthetic 3d Data Augmentation Method In Monocular 3d Obj ect Detection)

    27-27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 - Robotics an d Automation is the subject of a report.According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents,research st ated, “In the context of autonomous driving, it is both critical and challenging to locate3D objects by using a calibrated RGB image. Current methods typically utilize heteroscedastic aleatoricuncertainty loss to regress the depth of obje cts, thereby reducing the impact of noisy input while alsoensuring the reliabil ity of depth predictions.”

    Data on Artificial Intelligence Reported by Weijiao Xu and Colleagues (Predictin g recurrent gestational diabetes mellitus using artificial intelligence models: a retrospective cohort study)

    28-28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 in Zhangzh ou, People’s Republic of China, by NewsRx journalists, research stated,“We aime d to develop novel artificial intelligence (AI) models based on early pregnancy features to forecastthe likelihood of recurrent gestational diabetes mellitus ( GDM) before 14 weeks of gestation in subsequentpregnancies. This study involved a cohort of 588 women who had two consecutive singleton deliveries andwere dia gnosed with GDM during the index pregnancy.”