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    Studies from Guangxi University Yield New Data on Machine Learning (A Machine Le arning Approach to Predict Fluid Viscosity Based on Droplet Dynamics Features)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A new study on artificial intelligence is now available. According to news reporting originating from Nanning, People’ s Republic of China, by NewsRx correspondents, research stated, “In recent years , machine learning has made significant progress in the field of micro-fluids, a nd viscosity prediction has become one of the hotspots of research.” Financial supporters for this research include National Natural Science Foundati on of China; Guangxi Bagui Scholars Project.

    Recent Studies from University of Montpellier Add New Data to Machine Learning ( Early Season Forecasting of Corn Yield at Field Level from Multi-Source Satellit e Time Series Data)

    67-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New study results on artificial intell igence have been published. According to news originating from Montpellier, Fran ce, by NewsRx editors, the research stated, “Crop yield forecasting during an on going season is crucial to ensure food security and commodity markets.” Financial supporters for this research include French National Association of Re search And Technology. Our news reporters obtained a quote from the research from University of Montpel lier: “For this reason, here, a scalable approach to forecast corn yields at the field-level using machine learning and satellite imagery from Sentinel-2 and La ndsat missions is proposed. The model, evaluated on 1319 corn fields in the U.S. Corn Belt from 2017 to 2022, integrates biophysical parameters from Sentinel-2, Land Surface Temperature (LST) from Landsat, and agroclimatic data from ERA5 re analysis dataset. Resampling the time series over thermal time significantly enh ances predictive performance. The addition of LST to our model further improves in-season yield forecasting, through its capacity to detect early drought, which is not immediately visible to optical sensors such as the Sentinel-2.”

    Hainan University Researcher Describes Recent Advances in Machine Learning (A Ma chine Learning Model to Predict the Seismic Lifecycle Behavior of a Cross-Sea Ca ble-Stayed Bridge)

    68-68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 originating from Haikou, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Crosssea ca ble-stayed bridges encounter challenges associated with cable corrosion and cabl e-force relaxation during their service life, which significantly affects their structural performance and seismic response.” Funders for this research include Hainan Provincial Natural Science Foundation o f China; Graduate Innovation Research Project of Hainan Province.

    Data from Bohai University Advance Knowledge in Artificial Intelligence and Cons ciousness (A Social Self-Awareness Agent with Embodied Reasoning)

    69-69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 and consciousness are presented in a new report. According to news originating f rom Liaoning, People’s Republic of China, by NewsRx correspondents, research sta ted, “In the realm of multi-agent systems, establishing social self-awareness in agents stands as a critical challenge within the broader scope of artificial ge neral intelligence research.” Funders for this research include Research on Key Technologies And Application M ethods of Opennars.

    Central South University Reports Findings in Robotics (The current status and gl obal trends of clinical trials related to robotic surgery: a bibliometric and vi sualized study)

    70-71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 originating in Hunan, People’s Republ ic of China, by NewsRx journalists, research stated, “Conducting clinical trials can evaluate the effectiveness and safety of surgical robots. To promote the ad vancement of academic robotic programs in surgery, this study captures the devel opment trend and research hotspots of clinical trials related to surgical robots by bibliometric analysis.”

    Studies from Obuda University Describe New Findings in Androids (Exploring the R ole of Human-robot Interactions, Within the Context of the Effectiveness of a Na o Robot)

    70-70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 Robotics - Androids are presented in a new report. According to news reporting from Budapest, Hungary, b y NewsRx journalists, research stated, “The NAO robot has been widely used in va rious settings, from education and healthcare to entertainment and research. The effectiveness of the robot largely depends on its ability to interact with huma ns in a meaningful and engaging way.”

    Findings from University of Utrecht Update Knowledge of Machine Learning (Strain Localization In Sandstone-derived Fault Gouges Under Conditions Relevant To Ear thquake Nucleation)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Researchers detail new data in Machine Learning. According to news reporting originating from Utrecht, Netherlands, by NewsRx correspondents, research stated, “Constraining strain localization and the growth of shear fabrics within brittle fault zones at sub-seismic slip rates is important for understanding fault strength and frictional stability. We condu cted direct shear experiments on simulated sandstone-derived fault gouges at an effective normal stress of 40 MPa, a pore pressure of 15 MPa, and a temperature of 100 degrees C. Using a passive strain marker and X-ray Computed Tomography, w e analyzed the spatial distribution of deformation in gouges deformed in the str ain-hardening, subsequent strain-softening, and then steady-state regimes at dis placement rates of 1, 30, and 1,000 mu m/s.”

    Zhongnan Hospital of Wuhan University Reports Findings in Robotics (Advantages o f robot-assisted resection of large mediastinal tumors: a single-center prelimin ary study)

    73-73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 originating from Wuhan, People’s Repu blic of China, by NewsRx correspondents, research stated, “Current study aims to assess the safety and efficacy of robot-assisted thoracoscopic surgery (RATS) f or sizable mediastinal masses with a minimum diameter 6 cm, compared with video- assisted thoracoscopic surgery (VATS) and open surgery. This study enrolled 130 patients with mediastinal tumors with no less than 6 cm diameter in Zhongnan Hos pital, Wuhan University, including 33 patients who underwent RATS, 52 patients w ho underwent VATS and 45 patients who underwent open surgery.”

    New Machine Learning Findings Has Been Reported by Investigators at Shandong Tec hnology & Business University (A Finite Volume and Machine Learnin g Based Investigation of Flow Dynamics In a Vertical Duct Heated By the Sunlight )

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Researchers detail new data in Machine Learning. According to news reporting from Yantai, People’s Republic of China, by NewsRx journalists, research stated, “Thermal and flow features of nanofluid are explored under the impact of an external magnetic field whereas fluid is flo wing inside a vertical square duct. It is assumed that the sunlight tends to hea t up the duct.”

    Study Data from Faculty of Computer Science Update Knowledge of Machine Learning (Smiles-based Machine Learning Enables the Prediction of Corrosion Inhibition C apacity)

    74-74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 originating from Semarang, Indonesia, by NewsR x correspondents, research stated, “This study explores the efficacy of using a simplified molecular input line entry system (SMILES) as the sole feature, repla cing quantum chemical properties (QCP), in predicting corrosion inhibition effic iency (CIE) for N-heterocyclic compounds. The gradient boosting regressor (GBR) model outperforms k-nearest neighbors (KNN), support vector regression (SVR), an d other models.”