查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Oncology - Endometrial Cancer is the subject of a report. According to news reporting out of Oslo, Norway, by New sRx editors, research stated, “Sentinel lymph node biopsy (SLN) is increasingly used for surgical staging of endometrial carcinoma. To estimate the effect and c osteffectiveness of the implementation of an SLN algorithm for surgical staging in patients with intermediateand high-risk endometrial carcinoma compared wit h lymphadenectomy.”
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 originating from Ho Chi Minh City, V ietnam, by NewsRx editors, the research stated, “The Extreme gradient boosting a lgorithm XGBoost has been confirmed to be an accurate method for predicting rock stiffnesses and anisotropic parameters from basic input features such as rock p orosity, density, vertical compression stress, pore pressure and burial depth (N guyen-Sy, T., To, Q.D., Vu, M.N., Nguyen, T.D. and Nguyen, T.T., 2020. Study the elastic properties and the anisotropy of rocks using different machine learning methods.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Androids. According to news reporting originating in Nanjing, People’ s Republic of China, by NewsRx journalists, research stated, “Continuous predict ion of limb joint angle, which is based on surface electromyography (sEMG) signa l and oriented to rehabilitation training, has significant application value in human-robot interaction systems. However, the noise interference and the inter-s ubject variability of sEMG affect the prediction effect.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Kyoto, Japan, by New sRx editors, the research stated, “Recent advancements in deep neural network (D NN) technology are enhancing the utilities of machine learning and meeting poten tial demands for real-world applications. Deep reinforcement learning (DRL) is a key component in realizing complex decision-making and control by machine learn ing.” Funders for this research include Grant-in-aid For Scientific Research S From Ja panese Society For The Promotion of Science Kakenhi, Japan; New Energy And Indus trial Technology Development Organization (Nedo), Japan.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Omsk State Transport University by NewsRx correspondents, research stated, “Introduction. The research focuses on the current state and prospects of development of the sy stems of energyoptimal train driven by freight main line DC electric locomotives 2ES6.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Sing apore, Singapore, by NewsRx correspondents, research stated, “This study delves into the analysis of boiling-induced vibrations observed during a flow boiling e xperiment and explores their potential in predicting heat load through machine l earning models. The frequency spectral analysis revealed that the dominant frequ ency ranges between 6.5 - 12.5 kHz, delineated into three distinct bands.”
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 th e subject of a report. According to news reporting originating in Glasgow, Unite d Kingdom, by NewsRx journalists, research stated, “This paper uses a generalise d stacking method to introduce a novel hybrid model that combines a one-dimensio nal convolutional neural network 1DCNN with extreme gradient boosting XGBoost. W e compared the predictive accuracies of the proposed hybrid architecture with th ree conventional algorithms-1DCNN, XGBoost and logistic regression (LR) using a dataset of over twenty thousand peer-to-peer (P2P) consumer credit observations. ”
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 Ro botics. According to news reporting originating from Padua, Italy, by NewsRx cor respondents, research stated, “In industrial scenarios, effective humanrobot co llaboration relies on multi-camera systems to robustly monitor human operators d espite the occlusions that typically show up in a robotic workcell. In this scen ario, precise localization of the person in the robot coordinate system is essen tial, making the hand-eye calibration of the camera network critical.” Financial support for this research came from European Union (EU).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting out of Trondheim, Norway, by NewsRx editors, research stated, “Motion planning for autonomous act ive perception in cluttered environments remains a challenging problem, requirin g real-time solutions that both maximize safety and achieve a desired behavior. In dynamic underwater environments, such as in aquaculture operations, the robot s are additionally expected to deal with state and motion uncertainty and errors , dynamic and deformable obstacles, currents, and disturbances.”
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 th e subject of a report. According to news originating from Calgary, Canada, by Ne wsRx correspondents, research stated, “Pathogenic gram-negative bacteria frequen tly carry genes encoding extended-spectrum beta-lactamases (ESBL) and/or carbape nemases. Of great concern are carbapenem resistant , and.” Financial support for this research came from Canadian Government | Canadian Ins titutes of Health Research.
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