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

    First Hospital of China Medical University Reports Findings in Gastric Cancer (T M-Score predicts immunotherapy efficacy and improves the performance of the mach ine learning prognostic model in gastric cancer)

    60-61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 Oncology - Gastric Can cer is the subject of a report. According to news reporting out of Liaoning, Peo ple’s Republic of China, by NewsRx editors, research stated, “Immunotherapy is b ecoming increasingly important, but the overall response rate is relatively low in the treatment of gastric cancer (GC). The application of tumor mutational bur den (TMB) in predicting immunotherapy efficacy in GC patients is limited and con troversial, emphasizing the importance of optimizing TMB-based patient selection .”

    Universitat Politecnica de Catalunya Reports Findings in Robotics (Robust tracki ng of deformable anatomical structures with severe occlusions using deformable g eometrical primitives)

    61-62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 originating from Barcelona, Spain, by NewsRx co rrespondents, research stated, “Surgical robotics tends to develop cognitive con trol architectures to provide certain degree of autonomy to improve patient safe ty and surgery outcomes, while decreasing the required surgeons’ cognitive load dedicated to low level decisions. Cognition needs workspace perception, which is an essential step towards automatic decision-making and task planning capabilit ies.”

    Multimedia University Researchers Provide New Study Findings on Robotics (Automa tic Vehicle Fueling System using PLC Controlled Robotic Arm - A Simulation Desig n [version 2; peer review: 2 approved, 1 approved with reserv ations])

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news originating from Melaka, Malaysia, by NewsRx correspondents , research stated, “The objective of this research is to simulate an automatic f uelling system using a PLC LogixPro simulation. The system includes the ‘FASS’ c oncept, which is Fast, Accurate, Safe and Simple, to allow car users to have an efficient fuel filling system.”

    Massey University Researcher Updates Current Study Findings on Machine Learning (Leveraging Temporal Information to Improve Machine Learning-Based Calibration T echniques for Low-Cost Air Quality Sensors)

    63-63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 artificial intelligenc e is the subject of a new report. According to news reporting out of Auckland, N ew Zealand, by NewsRx editors, research stated, “Low-cost ambient sensors have b een identified as a promising technology for monitoring air pollution at a high spatio-temporal resolution.” The news correspondents obtained a quote from the research from Massey Universit y: “However, the pollutant data captured by these cost-effective sensors are les s accurate than their conventional counterparts and require careful calibration to improve their accuracy and reliability. In this paper, we propose to leverage temporal information, such as the duration of time a sensor has been deployed a nd the time of day the reading was taken, in order to improve the calibration of low-cost sensors. This information is readily available and has so far not been utilized in the reported literature for the calibration of cost-effective ambie nt gas pollutant sensors.”

    Investigators at University of Georgia Discuss Findings in Machine Learning (Min iaturized Hand-held Near-infrared Spectroscopy and Machine Learning for Precisio n Monitoring of Solid Fat Content)

    64-65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 th e subject of a report. According to news originating from Athens, Georgia, by Ne wsRx correspondents, research stated, “The functionality of fats in food is dete rmined by the total amount of fat crystals, measured as percent solid fat conten t (SFC). The SFC is a physical parameter conventionally evaluated by either nucl ear magnetic resonance or differential scanning calorimetry (DSC), which is time -consuming.”

    Studies from Pacific Northwest National Laboratory Describe New Findings in Mach ine Learning (Physics-informed Machine Learning of the Correlation Functions In Bulk Fluids)

    64-64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 th e subject of a report. According to news reporting originating in Richland, Wash ington, by NewsRx journalists, research stated, “The Ornstein- Zernike (OZ) equat ion is the fundamental equation for pair correlation function computations in th e modern integral equation theory for liquids.” Financial supporters for this research include Advanced Scientific Computing Res earch10.13039/100006192, United States Department of Energy (DOE), United States Department of Energy (DOE), United States Department of Energy (DOE).

    Xihua University Details Findings in Intelligent Systems (A Novel Similarity Alg orithm for Triangular Cloud Models Based On Exponential Closeness and Cloud Drop Variance)

    66-67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 - Intelligent Sy stems is the subject of a report. According to news originating from Chengdu, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Cloud mode l similarity algorithm is an important part of cloud modelling theory. Most of t he existing cloud model similarity algorithms suffer from poor discriminability, poor classification, unstable results, and low time efficiency.” Funders for this research include Xihua University Talent Introduction Program, Sichuan Province Innovation Training Project.

    Researchers from National Institute for Astrophysics (INAF) Report on Findings i n Machine Learning (Classification of Compact Radio Sources In the Galactic Plan e With Supervised Machine Learning)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Catania, Italy, by NewsRx corresp ondents, research stated, “Generation of science-ready data from processed data products is one of the major challenges in next-generation radio continuum surve ys with the Square Kilometre Array (SKA) and its precursors, due to the expected data volume and the need to achieve a high degree of automated processing. Sour ce extraction, characterization, and classification are the major stages involve d in this process.”

    Ningxia University Reports Findings in COVID-19 [Desorption Separation Ionization Mass Spectrometry (DSI-MS) for Rapid Analysis of COVID-19]

    68-69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 Coronavirus - COVID-19 is the subject of a report. According to news reporting originating from Yinchu an, People’s Republic of China, by NewsRx correspondents, research stated, “Duri ng the coronavirus disease 2019 (COVID-19) pandemic, which has witnessed over 77 2 million confirmed cases and over 6 million deaths globally, the outbreak of CO VID-19 has emerged as a significant medical challenge affecting both affluent an d impoverished nations. Therefore, there is an urgent need to explore the diseas e mechanism and to implement rapid detection methods.”

    Studies from Chinese Research Institute of Environmental Sciences Yield New Info rmation about Machine Learning (Dielectric Spectroscopy With Machine Learning In tegrated Approach To Analysis the Influence of N:p Ratio On Algae Growth Modeling ...)

    69-70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 Machine Learning are discussed in a new report. According to news reporting out of Beijing, Peopl e’s Republic of China, by NewsRx editors, research stated, “The task of monitori ng algal biomass is a significant challenge in contemporary environmental conser vation. A novel technique called dielectric spectroscopy with machine learning i ntegration is an intelligent approach to address this challenge.”