首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Southwest University Reports Findings in Machine Learning (Multifeature concatenation and multi-classifier stacking: An interpretable and generalizable machine learning method for MDD discrimination with rsfMRI)

    39-39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 the subject of a report. According to newsreporting originating in Chongqing, People’s Republic of China, by NewsRx journalists, research stated,“Major depressive disorder (MDD) is a serious and heterogeneous psychiatric disorder that needs accuratediagnosis. Resting-state functional MRI (rsfMRI), which captures multiple perspectives on brain structure,function, and connectivity, is increasingly applied in the diagnosis and pathological research of MDD.”

    Researchers at University of Connecticut Release New Data on Machine Learning (Probabilistic Physics-informed Graph Convolutional Network for Active Distribution System Voltage Prediction)

    40-40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 Machine Learning. According to news reportingfrom Storrs, Connecticut, by NewsRx journalists, research stated, “This letter proposes a novel data-drivenprobabilistic physics-informed graph convolutional network (GCN) for active distribution system voltageprediction with PVs and EVs. It leverages both measurements and network topology to accurately andefficiently predict node voltages without the need for an accurate distribution system power flow model.”Funders for this research include United States Department of Energy (DOE), United States Departmentof Energy (DOE).

    Fujian Medical University Union Hospital Reports Findings in Gastric Cancer (Comparison of Short-Term Outcomes After Robotic Versus Laparoscopic Radical Gastrectomy for Advanced Gastric Cancer in Elderly Individuals: A Propensity Score-Matching …)

    41-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Gastric Cancer is the subject of a report. According tonews reporting originating from Fuzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “Robotic gastrectomy (RG) has been widely used to treat gastric cancer. However, whether theshort-term outcomes of robotic gastrectomy are superior to those of laparoscopic gastrectomy (LG) forelderly patients with advanced gastric cancer has not been reported.”

    Findings on Robotics Reported by Investigators at University ofMacau (Unsupervised Lighting Reflectance Estimation for Robot Monitoring Under Poor Illuminance)

    42-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented in a new report. According to news reporting outof Macau, People’s Republic of China, by NewsRx editors, research stated, “Accurate visual detection underpoor illuminance is arguably an important and challenging practice for robot monitoring. The purpose ofthis study is to build detectors for inspection robot under nonuniform and poor lighting conditions.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Xiamen University (Machine-learning-assisted Performance Improvements for Multi-resonance Thermally Activated Delayed Fluorescence Molecules)

    43-44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 Machine Learning have been published. According to newsreporting out of Xiamen, People’s Republic of China, by NewsRx editors, research stated, “With favorablecolour purity, multi-resonance thermally activated delayed fluorescence (MR-TADF) molecules exhibitenormous potential in high-definition displays. Due to the relatively small chemical space of MR-TADFmolecules, it is challenging to improve molecular performance through domain-specific expertise alone.”

    Data on Robotics Reported by Researchers at Guangxi University (Monocular Camera-based Online Sensor-to-segment Calibration for Upper Body Pose Estimation)

    44-44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 Robotics. According to news reporting out of Nanning,People’s Republic of China, by NewsRx editors, research stated, “Robot-assisted rehabilitation trainingusually requires body pose estimation for either evaluation or robot con-trol. Wearable sensors such asinertial measurement units (IMUs) have been extensively studied as affordable solutions.”

    University of Warwick Reports Findings in Machine Learning (Machine Learning Interatomic Potentials for Reactive Hydrogen Dynamics at Metal Surfaces Based on Iterative Refinement of Reaction Probabilities)

    45-45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 the subject of a report. According to newsreporting from Coventry, United Kingdom, by NewsRx journalists, research stated, “The reactive chemistryof molecular hydrogen at surfaces, notably dissociative sticking and hydrogen evolution, plays a crucial rolein energy storage and fuel cells. Theoretical studies can help to decipher underlying mechanisms andreaction design, but studying dynamics at surfaces is computationally challenging due to the complexelectronic structure at interfaces and the high sensitivity of dynamics to reaction barriers.”

    New Machine Learning Research from University of Bamberg Described(FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intelligence have been published. According to newsoriginating from Bamberg, Germany, by NewsRx correspondents, research stated, “The rise of machinelearningapplications in domains with critical end-user impact has led to a growing concern about thefairness of learned models, with the goal of avoiding biases that negatively impact specific demographicgroups.”

    Findings in Robotics and Machine Learning Reported from NingxiaUniversity (Mfenet: Multi-scale Feature Extraction Network for Images Deblurring and Segmentation of Swinging Wolfberry Branch)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics and Machine Learning. According to newsreporting from Yinchuan, People’s Republic of China, by NewsRx journalists, research stated, “Wolfberryharvesting faces challenges related to factors such as wind-induced branch movement and mechanical armcollisions, which lead to undesirable swinging of wolfberry branches. This motion results in blurred images captured by imaging devices, which hampers the effectiveness of the harvesting robot arm in identifyingand grasping the wolfberry branches.”

    New Machine Learning Data Have Been Reported by Researchers at Yangtze University (Application of Machine Learning In Wellbore Stability Prediction: a Review)

    48-48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 Machine Learning have been published. According to newsreporting out of Hubei, People’s Republic of China, by NewsRx editors, research stated, “Ensuring wellborestability is vital for safe drilling and production in the process of oil exploration and development.The current empirical formula and numerical simulation methods used to analyze wellbore stability havelimitations such as low adaptability and high computational complexity.”