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    Ludwig-Maximilians-University Munich Reports Findings in Machine Learning (AAont ology: An ontology of amino acid scales for interpretable machine learning)

    19-20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 newsoriginating from Munich, Germany, by Ne wsRx correspondents, research stated, “Amino acid scales arecrucial for protein prediction tasks, many of them being curated in the AAindex database. Despite various clustering attempts to organize them and to better understand their relat ionships, these approacheslack the fine-grained classification necessary for sa tisfactory interpretability in many protein predictionproblems.”

    Researcher from Semnan University of Medical Sciences Details Findings in Machin e Learning (A Survival Prediction Model of Self-Immolation Based on Machine Lear ning Techniques)

    20-21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 ar tificial intelligence. According to news originatingfrom Semnan, Iran, by NewsR x correspondents, research stated, “Self-immolation is one of the violentmethod s of suicide in developing countries. Predicting the survival of self-immolation patients helpsdevelop therapeutic strategies.”

    Findings from Zhejiang University Yields New Findings on Robotics and Automation (Learning Speed Adaptation for Flight In Clutter)

    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 Robotics - Robotics an d Automation is the subject of a report.According to news reporting originating in Hangzhou, People’s Republic of China, by NewsRx journalists,research stated , “Animals learn to adapt speed of their movements to their capabilities and the environmentthey observe. Mobile robots should also demonstrate this ability to trade-off aggressiveness and safety forefficiently accomplishing tasks.”

    Findings in the Area of Machine Learning Reported from Harbin Institute of Techn ology (Enhancing Longitudinal Flight Performance of Drones Through the Coupling of Wings Morphing and Deflection of Aerodynamic Surfaces)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingout of Heilongjiang, People’s Republic o f China, by NewsRx editors, research stated, “In nature, glidingbirds frequentl y execute intricate flight maneuvers such as aerial somersaults, perched landing s, andswift descents, enabling them to navigate obstacles or hunt prey. It is e vident that birds rely on differentwing-tail configurations to accomplish a wid e range of aerial maneuvers.”

    Hebei University of Technology Researcher Highlights Research in Robotics (Resea rch on time-energy optimal trajectory planning of articulated heavy-duty robot)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on robotics is now availab le. According to news originating from Tianjin,People’s Republic of China, by N ewsRx editors, the research stated, “Articulated heavy-duty robots aremore and more widely used in the construction environment.”

    Findings from Hong Kong Polytechnic University Provide New Insights into Machine Learning (Application of Machine Learning Techniques for Predicting Students’ A coustic Evaluation in a University Library)

    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 ar tificial intelligence. According to news reportingout of Hong Kong, People’s Re public of China, by NewsRx editors, research stated, “Understandingstudents’ ac oustic evaluation in learning environments is crucial for identifying acoustic i ssues, improvingacoustic conditions, and enhancing academic performance.”

    Guangdong Medical University Reports Findings in Ring Cell Cancer (A prognostic framework for predicting lung signet ring cell carcinoma via a machine learning based cox proportional hazard model)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Ring Cell C ancer is the subject of a report. Accordingto news reporting from Guangdong, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Signet ring c ell carcinoma (SRCC) is a rare type of lung cancer. The conventional survival no mogramused to predict lung cancer performs poorly for SRCC.”

    Lokman Hekim University Reports Findings in Oral Squamous Cell Carcinoma (Predic tion of bone invasion of oral squamous cell carcinoma using a magnetic resonance imaging-based machine learning model)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Oral Squamo us Cell Carcinoma is the subject of a report.According to news reporting origin ating from Ankara, Turkey, by NewsRx correspondents, research stated,“Radiomics , a recently developed image-processing technology, holds potential in medical d iagnostics.This study aimed to propose a machine-learning (ML) model and evalua te its effectiveness in detectingoral squamous cell carcinoma (OSCC) and predic ting bone metastasis using magnetic resonance imaging(MRI).”

    Reports Summarize Machine Learning Study Results from Donghua University (Identi fication of the melting line in the two-dimensional complex plasmas using an uns upervised machine learning method)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting from Shanghai, People ’s Republic of China, by NewsRx journalists, research stated, “Machinelearning methods have been widely used in the investigations of the complex plasmas.”

    Reports from Southwest Jiaotong University Describe Recent Advances in Machine L earning (Machine Learning Models for Predicting Viv Amplitude of Streamlined Ste el Box Girders)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Chengdu, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Thevortex-induced v ibrations (VIVs) can cause severe consequences for long-span bridges, including structuralfatigue, human-body comfort and vehicle safety, and become significan t issues in terms of thewind-resistance. Currently, estimations of VIV amplitud es are typically based on wind tunnel tests, fieldmonitoring, computational flu id dynamics and theoretical models.”