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    Data on Machine Learning Reported by Garima Singh and Colleagues (Prediction of geogenic source of groundwater fluoride contamination in Indian states: A compar ative study of different supervised machine learning algorithms)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Noida, India, by NewsRx editors, research stated, “India has been dealing with fluoride contamination of groundwa ter for the past few decades. Long-term exposure of fluoride can cause skeletal and dental fluorosis.”

    Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico Reports Findings in Ro botics (Hybrid robotic systems)

    49-49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 Milan, Italy, by NewsR x journalists, research stated, “Standard laparoscopic instruments have limited dexterity because of their few degrees of freedom, making some surgical tasks ex tremely challenging. Robotic surgery was developed to overcome these issues, but the da Vinci system is associated with high costs.”

    Studies from China University of Mining and Technology Beijing Provide New Data on Artificial Intelligence (Application of Artificial Intelligence In Coal Mine Ultra-deep Roadway Engineering-a Review)

    50-51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 are presented in a new report. According to news reporting from Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “The deep integrati on of computer field and coal mining field is the only way to coal mine intellec tualization. A variety of artificial intelligence tools have been applied in ope n-pit and shallow coal mines.”

    Recent Research from Harbin University Highlight Findings in Machine Learning (R esearch On Specific Capacitance Prediction of Biomass Carbon-based Supercapacito rs Based On Machine Learning)

    52-52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 reporting from Harbin, People’s Republic of China, by NewsRx journalists, research stated, “With the development of computer t echnology, a variety of machine learning models have been used to predict the el ectrochemical performance of energy storage devices. In this study, the elementa l analysis, industrial analysis and structural composition, activation condition s, and current density of biomass are innovatively selected as input conditions from the biomass raw material characteristics perspective and predict specific capacitance based on the light gradient boosting machine (LightGBM) and deep neural network (DNN) algorithm.”

    Research Reports from Wageningen University Provide New Insights into Machine Le arning (Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana)

    53-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on artificial intelligence is now ava ilable. According to news originating from Wageningen University by NewsRx corre spondents, research stated, “Maize (Zea mays) is an important staple crop for food security in Sub-Saharan Africa. However, there is need to increase production to feed a growing population.”

    Reports Outline Pattern Recognition and Artificial Intelligence Findings from University of Tunku Abdul Rahman (Abnormal Detection of Commutator Surface Defects Based On Yolov8)

    54-54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 - Pattern Recognition and Artificial Intelligence. According to n ews reporting out of Kajang, Malaysia, by NewsRx editors, research stated, “The YOLOv8 model has high detection efficiency and classification accuracy in detecting commutator surface defects, aimed at the problem of low working efficiency of a commutator, caused by commutator surface defects. First, the theoretical framework of Region-based Convolutional Neural Networks (R-CNN), spatial pyramid pooling (SPP)-net, Fast R-CNN, and Faster R-CNN is introduced, and the detection principle and process are described in detail.”

    Quaid-i-Azam University Researchers Update Knowledge of Machine Learning (Electr icity consumption forecasting using a novel homogeneous and heterogeneous ensemb le learning)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Islamabad, Pakistan, by NewsRx correspondents, research stated, “In today’s w orld, a country’s economy is one of the most crucial foundations. However, indus tries’ financial operations depend on their ability to meet their electricity demands. Thus, forecasting electricity consumption is vital for properly planning and managing energy resources.”

    Researchers at Shandong University Release New Data on Robotics (Mcler: Multi-cr itic Continual Learning With Experience Replay for Quadruped Gait Generation)

    56-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Jinan, People’s Republic of China, by NewsRx correspondents, research stated, “Quadruped robots are able to traverse most terrains on the earth using a wide variety of gaits, providing sol utions for robots to operate in specialized environments. Although existing meth ods have achieved excellent performance in gait generation, they suffer from cat astrophic forgetting and inability to evolve when encountering new gait demands. ”

    Chongqing Medical University Reports Findings in Machine Learning (Heatstroke de ath identification using ATR-FTIR spectroscopy combined with a novel multi-organ machine learning approach)

    57-57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 Machine Learning is the subject of a report. According to news originating from Chongqing, People’s Re public of China, by NewsRx correspondents, research stated, “With global warming , the number of deaths due to heatstroke has drastically increased. Nevertheless , there are still difficulties with the forensic assessment of heatstroke deaths , including the absence of particular organ pathological abnormalities and obvio us traces of artificial subjective assessment.”

    Studies Conducted at Zhejiang Normal University on Machine Learning Recently Rep orted (An Analysis of Predictive Modeling and Factors Influencing Cet-4 Pass Rat e Among Chinese University Students: a Machine Learning-based Approach)

    58-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Jinhua, People’s Republic of China, by NewsRx editors, research stated, “The National College English Test B and 4 (CET-4) is a key test to assess the English language ability of Chinese un iversity students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be use d to predict and explore the factors influencing the success rate.”