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    Study Findings on Robotics Are Outlined in Reports from Shenzhen University (A R eliable Traversability Learning Method Based On Human-demonstrated Risk Cost Map ping for Mobile Robots Over Uneven Terrain)

    21-21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 reportingoriginating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Thepaper propos ed a traversability learning method based on the human demonstration for generat ing riskcost maps. These maps aid mobile robots in identifying safe areas for r eliable autonomous navigation overuneven terrain.”

    Studies from University of Tanjungpura Describe New Findings in Machine Learning (Flood Impact Assessment In Remote Areas Using Machine Learning, Sar, and Gis: a Case Study of Ngabang District, Indonesia)

    22-22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 Pontianak, Indonesia , by NewsRx journalists, research stated, “Flooding in remote regionspresents s ignificant challenges due to data scarcity, complicating impact assessment and m itigation efforts.This research delineates an integrated methodology for quanti fying flood impacts in such contexts.”

    Study Results from Tongji University Update Understanding of Machine Learning (A Robust Approach for Bond Strength Prediction of Mortar Using Machine Learning W ith Shap Interpretability)

    23-24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 Machine Learning is now available. According to news originating fromShanghai, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Application of machinelearning (ML) in predicting mortars bond strength contributes to low experimental cost a nd high accuracy.This study explores the performance of four ML models-Back Pro pagation Neural Network (BPNN),Support Vector Regression (SVR), Random Forest ( RF), and eXtreme Gradient Boosting (XGBoost)-using 304 experimental data points for training and 76 results for testing.”

    National Cancer Institute (NCI) Reports Findings in Machine Learning (Machine le arning approach to assess brain metastatic burden in preclinical models)

    23-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Bethesda, Maryland, by NewsRx editors, research stated, “Brain metastases (BrM) occurwhen malignant c ells spread from a primary tumor located in other parts of the body to the brain . BrMis a deadly complication for cancer patients and severely lacks effective therapies.”

    Huazhong Agricultural University Reports Findings in Machine Learning (Revealing the synergistic spatial effects in soil heavy metal pollution with explainable machine learning models)

    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 Machine Learning is th e subject of a report. According to newsreporting originating in Wuhan, People’ s Republic of China, by NewsRx journalists, research stated, “Theidentification of factors that affect changes in the heavy metal content of soil is the basis for reducingor preventing soil heavy metal pollution. In this research, 16 envi ronmental factors were selected, andthe influences of soil heavy metal spatial distribution factors and the synergy amongst space factors wereevaluated using a geographic detector (GD) and the extreme gradient boosting (XGBoost)-Shapley a dditiveexplanations (SHAP) model.”

    Researchers from University of Genoa Report Findings in Artificial Intelligence [Can Ai Get a Degree In Geoscience? Performance Analysis of a Gpt-based Artificial Intelligence System Trained for Earth Science (Geologyorac le)]

    25-26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 originating from Gen oa, Italy, by NewsRx correspondents, research stated, “Generative artificialint elligence systems based on the GPT model have shown groundbreaking capabilities in producing scientifictexts, revolutionising how geoscientists research and te ach. However, there is a noticeable absence ofgenerative AI systems tailored sp ecifically for geoscience, and the efficacy of GPT technology has not beenexami ned within the Earth Science realm.”

    Zhejiang Gongshang University Reports Findings in Machine Learning (Rapid Raman spectroscopy analysis assisted with machine learning: a case study on Radix Bupl euri)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Hangzhou, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Radix Bupl euri has been widely used for its plentiful pharmacological effects. But it is h ard toevaluate their safety and efficacy because the concentrations of componen ts are tightly affected by thesurrounding environment.”

    National Research Council Researchers Provide Details of New Studies and Finding s in the Area of Machine Learning (Habitat suitability modeling of loggerhead se a turtles in the Central-Eastern Mediterranean Sea: a machine learning approach …)

    27-28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 originatingfrom Bari, Italy, by NewsRx correspondents, research stated, “Understanding how sea turtle species movethr ough the environment and respond to environmental features is fundamental for su stainable ecosystemmanagement and effective conservation.”

    Sichuan Cancer Hospital and Institute Reports Findings in Artificial Intelligenc e (Enhancing physician support in pancreatic cancer diagnosis: New M-F-RCNN arti ficial intelligence model using endoscopic ultrasound)

    28-29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 newsoriginating from Chengdu, People ’s Republic of China, by NewsRx correspondents, research stated, “Endoscopicult rasound (EUS) is vital for early pancreatic cancer diagnosis. Advances in artifi cial intelligence(AI), especially deep learning, have improved medical image an alysis.”

    Findings from Chiang Mai University Update Knowledge of Machine Learning (Recogn ition and Classification of Microseismic Event Waveforms Based On Histogram of O riented Gradients and Shallow Machine Learning Approach)

    29-30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 reportingout of Chiang Mai, Thailand, by News Rx editors, research stated, “Accurate identification of microseismicevents is vital for understanding underground rock deformation, rupture behavior, and mech anical properties.This study proposes a method that combines the Histogram of O rientation Gradient (HOG) andshallow machine learning techniques for microseism ic waveform recognition.”