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    Southern Medical University Reports Findings in Polycystic Ovary Syndrome (Predi cting metformin efficacy in improving insulin sensitivity among women with polyc ystic ovary syndrome and insulin resistance: a machine learning study)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Endocrine System Disea ses and Conditions - Polycystic OvarySyndrome is the subject of a report. Accor ding to news reporting out of Guangzhou, People’s Republic ofChina, by NewsRx e ditors, research stated, “Metformin is clinically effective in treating polycyst ic ovarysyndrome (PCOS) with insulin resistance (IR), while its efficacy varies among individuals. This study aimsto develop a machine learning model to predi ct the efficacy of metformin in improving insulin sensitivityamong women with P COS and IR.”

    Institute of Graduate Studies and Research Reports Findings in Machine Learning (An entropy and machine learning based approach for DDoS attacks detection in so ftware defined networks)

    21-22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 from Alexandria, Egypt, by Ne wsRx journalists, research stated, “Software-defined networks(SDNs) have been g rowing rapidly due to their ability to provide an efficient network management approach compared to traditional methods. However, one of the major challenges fa cing SDNs is thethreat of Distributed Denial of Service (DDoS) attacks, which c an severely impact network availability.”

    Reports Summarize Machine Learning Study Results from University of Tubingen (Sc ientific Inference With Interpretable Machine Learning: Analyzing Models To Lear n About Real-world Phenomena)

    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 Machine Learning. According to news originating fromTubingen, Germany, by NewsRx corre spondents, research stated, “To learn about real world phenomena,scientists hav e traditionally used models with clearly interpretable elements. However, modern machinelearning (ML) models, while powerful predictors, lack this direct eleme ntwise interpretability (e.g. neuralnetwork weights).”

    Investigators from Hunan University Report New Data on Robotics (Act As What You Think: Towards Personalized Eeg Interaction Through Attentional and Embedded Ls tm Learning)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsreporting originating in Changsha, Peop le’s Republic of China, by NewsRx journalists, research stated,“The ‘mind-contr olling’ capability has always been in mankind’s fantasy. With the recent advance ments inelectroencephalograph (EEG) techniques, brain-computer interface (BCI) researchers have explored somesolutions to allow individuals to perform various tasks using their minds.”

    Researchers from Department of Computer Sciences Describe Findings in Machine Le arning (Equalizer: Energy-efficient Machine Learning-based Heterogeneous Cluster Load Balancer)

    24-25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 originatingfrom Oran, Algeria, by NewsRx corr espondents, research stated, “Heterogeneous systems deliver highcomputing perfo rmance when effectively utilized. It is crucial to execute each application on t he mostsuitable device while maintaining system balance.”

    Study Results from Louisiana State University Update Understanding of Machine Le arning (Explainable machine-learning-based prediction of equivalent circulating density using surface-based drilling data)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on artificial intelligence is now ava ilable. According to news originating from LouisianaState University by NewsRx correspondents, research stated, “When drilling wells for energy explorations,i t is important to regulate the formation pressures appropriately to prevent kick s, which can lead tounimaginable loss of lives and properties. This is usually done by controlling the equivalent circulatingdensity (ECD), which responds to the dynamic conditions that occur during drilling.”

    King’s College London Reports Findings in Prostatectomy (Reduction of surgical c omplications via 3D models during robotic assisted radical prostatectomy: review of current evidence and metaanalysis)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Prostatectom y is the subject of a report. Accordingto news reporting from London, United Ki ngdom, by NewsRx journalists, research stated, “The use of3-dimensional (3D) te chnology has become increasingly popular across different surgical specialities toimprove surgical outcomes. 3D technology has the potential to be applied to r obotic assisted radicalprostatectomy to visualise the patient’s prostate anatom y to be used as a preoperative and peri operativesurgical guide. This literatur e review aims to analyse all relevant pre-existing research on this topic.”

    Collaborations Pharmaceuticals Reports Findings in Artificial Intelligence (Pred icting the Hallucinogenic Potential of Molecules Using Artificial Intelligence)

    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 Artificial Intelligenc e is the subject of a report. According to newsreporting originating in Raleigh , North Carolina, by NewsRx journalists, research stated, “The developmentof ne w drugs addressing serious mental health and other disorders should avoid the ps ychedelic experience.Analogs of psychedelic drugs can have clinical utility and are termed ‘psychoplastogens’.”

    Zhejiang University of Technology Reports Findings in Machine Learning (Machine learning-based corrosion rate prediction of steel embedded in soil)

    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 Machine Learning is th e subject of a report. According to newsreporting originating in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“Predicting the corrosion rate for soil-buried steel is significant for assessing the service-li fe performance ofstructures in soil environments. However, due to the large amo unt of variables involved, existing corrosionprediction models have limited acc uracy for complex soil environment.”

    Chulalongkorn University Reports Findings in Machine Learning (Estimating visibi lity and understanding factors influencing its variations at Bangkok airport usi ng machine learning and a game theorybased approach)

    29-30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 news originatingfrom Bangkok, Thailand, by NewsRx correspondents, research stated, “In this study, six individualmachine l earning (ML) models and a stacked ensemble model (SEM) were used for daytime vis ibilityestimation at Bangkok airport during the dry season (November-April) for 2017-2022. The individual MLmodels are random forest, adaptive boosting, gradi ent boosting, extreme gradient boosting, light gradientboosting machine, and ca t boosting.”