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    University of Molise Researcher Describes Advances in Machine Learning (Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during We ight Lifting Tasks Using Inertial Sensors)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on artificial intelligence have been published. According to news reporting originating from Campobasso, Italy, by NewsRx correspondents, research stated, “Occupational ergonomics aims to optimize the work environment and to enhance both productivity and worker well-being.”

    Research from Henan Agricultural University Provide New Insights into Machine Le arning (Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Zhengzhou, People's Repub lic of China, by NewsRx correspondents, research stated, “Crop leaf chlorophyll content (LCC) and fractional vegetation cover (FVC) are crucial indicators for a ssessing crop health, growth development, and maturity. In contrast to the tradi tional manual collection of crop trait parameters, unmanned aerial vehicle (UAV) technology rapidly generates LCC and FVC maps for breeding materials, facilitat ing prompt assessments of maturity information.”

    Recent Research from China University of Mining and Technology Highlight Findings in Support Vector Machines (Fuzzy Twin Support Vector Machines With Distributi on Inputs)

    79-80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 Support Vector Machines is now available. According to news reporting originating in Jiangsu, People's Republic of China, by NewsRx journalists, research stated, “The fuzzy twin suppo rt vector machine (FTSVM) is a powerful and effective classifier due to the use of nonparallel hyperplanes and fuzzy membership functions. This article extends the FTSVM model to uncertain objects with probability distributions and proposes a distribution-input FTSVM (DFTSVM) model.”

    Department of Endoscopy Reports Findings in Colon Cancer (Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy ...)

    80-81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-Colon Cance r is the subject of a report. According to news reporting out of Shijiazhuang, P eople's Republic of China, by NewsRx editors, research stated, “The recent World Endoscopy Organization (WEO) guidelines now recognize precursor lesions of colo rectal cancer (CRC) as legitimate screening targets. However, an optimal screeni ng method for detecting advanced adenoma (AA), a significant precursor lesion, remains elusive.”

    Researchers at Chonnam National University Publish New Study Findings on Robotics (Auxcoformer: Auxiliary and Contrastive Transformer for Robust Crack Detection in Adverse Weather Conditions)

    81-82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 robotics have been pr esented. According to news reporting from Gwangju, South Korea, by NewsRx journa lists, research stated, “Crack detection is integral in civil infrastructure mai ntenance, with automated robots for detailed inspections and repairs becoming in creasingly common. Ensuring fast and accurate crack detection for autonomous veh icles is crucial for safe road navigation.”

    Studies from University of British Columbia Add New Findings in the Area of Mach ine Learning (Developing and Microsimulating Demographic Dynamics for an Integra ted Urban Model: a Comparison Between Logistic Regression and Machine Learning . ..)

    82-83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 reporting originating from Kelowna, Can ada, by NewsRx correspondents, research stated, “Studies have shown that sociode mographic attributes significantly influence individuals' transportation choices . However, not all travel demand models do not account for this effect when pred icting future travel scenarios.” Financial support for this research came from Natural Sciences and Engineering R esearch Council of Canada (NSERC).

    Medical University of Lodz Reports Findings in Thrombosis (Qualitative classific ation of thrombus images as a way to improve quantitative analysis of thrombus f ormation in flow chamber assays)

    83-84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 Cardiovascular Disease s and Conditions-Thrombosis is the subject of a report. According to news repo rting from Lodz, Poland, by NewsRx journalists, research stated, “Thrombus forma tion in vitro under flow conditions is one of the most widely used methods to st udy haemostasis and to evaluate the activity of potential antithrombotic compoun ds. Assessment of the results of these experiments is often based on a quantific ation of microscopic images of thrombi.”

    Researchers from University of Alberta Detail New Studies and Findings in the Ar ea of Robotics (Review of Current Vision-based Robotic Machine-tending Applications)

    84-85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 Edmonton, Canada, by NewsRx correspondents, research stated, “The manufacturing sector is a fundamental pill ar of worldwide economies, contributing markedly to global economic growth. Howe ver, the manufacturing industry is persistently confronted with issues impeding its development and expansion, such as manpower shortages, safety concerns, high initial investment for installation, and long return on investment.”

    Study Data from Escuela Politecnica Nacional Provide New Insights into Machine Learning (A Comprehensive Evaluation of Features and Simple Machine Learning Algo rithms for Electroencephalographic-Based Emotion Recognition)

    85-86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 Quito, Ecuador, by NewsRx editors, the research stated, “The study of electroencephalographic (EEG) signals has gaine d popularity in recent years because they are unlikely to intentionally fake bra in activity. However, the reliability of the results is still subject to various noise sources and potential inaccuracies inherent to the acquisition process.”

    University of Washington Reports Findings in COVID-19 (Integrating socio-economi c vulnerability factors improves neighborhoodscale wastewater-based epidemiolog y for public health applications)

    86-87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 from Seattle, Washingto n, by NewsRx journalists, research stated, “Wastewater Based Epidemiology (WBE) of COVID-19 is a low-cost, non-invasive, and inclusive early warning tool for di sease spread. Previously studied WBE focused on sampling at wastewater treatment plant scale, limiting the level at which demographic and geographic variations in disease dynamics can be incorporated into the analysis of certain neighborhoods.”