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

    Findings from Thiagarajar College of Engineering in Machine Learning Reported [Machine Learning-based Direct Estimation of Remaining Useful Life (Rul) of Igbt Using Multi-precursor Prognostics]

    43-44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 Ma chine Learning. According to news reportingoriginating from Tamil Nadu, India, by NewsRx correspondents, research stated, “The reliability of motordrives play s a crucial role in all motion control applications. Due to circuit overstresses , the IGBTs usedin motor drives are prone to degradation and aging, which may r esult in motor drives failure.”

    Findings from Thiagarajar College of Engineering in Machine Learning Reported [Machine Learning-based Direct Estimation of Remaining Useful Life (Rul) of Igbt Using Multi-precursor Prognostics]

    43-44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 Ma chine Learning. According to news reportingoriginating from Tamil Nadu, India, by NewsRx correspondents, research stated, “The reliability of motordrives play s a crucial role in all motion control applications. Due to circuit overstresses , the IGBTs usedin motor drives are prone to degradation and aging, which may r esult in motor drives failure.”

    Masaryk University Reports Findings in Machine Learning (High spatial and spectr al resolution dataset of hyperspectral look-up tables for 3.5 million traits and structural combinations of Central European temperate broadleaf forests)

    44-45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 th e subject of a report. According to newsreporting originating in Brno, Czech Re public, by NewsRx journalists, research stated, “Accurate retrieval offorest fu nctional traits from remote sensing data is critical for monitoring forest healt h and productivity.To achieve sufficient accuracy using inverse methods it is e ssential to have representative database ofsimulated or measured spectral prope rties together with corresponding forest traits.”

    Masaryk University Reports Findings in Machine Learning (High spatial and spectr al resolution dataset of hyperspectral look-up tables for 3.5 million traits and structural combinations of Central European temperate broadleaf forests)

    44-45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 th e subject of a report. According to newsreporting originating in Brno, Czech Re public, by NewsRx journalists, research stated, “Accurate retrieval offorest fu nctional traits from remote sensing data is critical for monitoring forest healt h and productivity.To achieve sufficient accuracy using inverse methods it is e ssential to have representative database ofsimulated or measured spectral prope rties together with corresponding forest traits.”

    Italian Workers’ Compensation Authority (INAIL) Reports Findings in Obstructive Sleep Apnea (Exploring the complexity of obstructive sleep apnea: findings from machine learning on diagnosis and predictive capacity of individual factors)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Respiratory Tract Dise ases and Conditions - Obstructive Sleep Apneais the subject of a report. Accord ing to news reporting originating from Rome, Italy, by NewsRx correspondents,re search stated, “Obstructive sleep apnoea (OSA) is a prevalent sleep disorder cha racterizedby pharyngeal airway collapse during sleep, leading to intermittent h ypoxia, intrathoracic pressure swings,and sleep fragmentation. OSA is associate d with various comorbidities and risk factors, contributing toits substantial e conomic and social burden.”

    Italian Workers’ Compensation Authority (INAIL) Reports Findings in Obstructive Sleep Apnea (Exploring the complexity of obstructive sleep apnea: findings from machine learning on diagnosis and predictive capacity of individual factors)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Respiratory Tract Dise ases and Conditions - Obstructive Sleep Apneais the subject of a report. Accord ing to news reporting originating from Rome, Italy, by NewsRx correspondents,re search stated, “Obstructive sleep apnoea (OSA) is a prevalent sleep disorder cha racterizedby pharyngeal airway collapse during sleep, leading to intermittent h ypoxia, intrathoracic pressure swings,and sleep fragmentation. OSA is associate d with various comorbidities and risk factors, contributing toits substantial e conomic and social burden.”

    School of Science and Technology Reports Findings in Machine Learning (Chinese C linical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Me chanism: Algorithm Development and Validation)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingfrom Guilin, People’s Republic of China, by NewsRx journalists, research stated, “Clinical named entityrecognition (CNE R) is a fundamental task in natural language processing used to extract named en titiesfrom electronic medical record texts. In recent years, with the continuou s development of machine learning,deep learning models have replaced traditiona l machine learning and template-based methods, becomingwidely applied in the CN ER field.”

    School of Science and Technology Reports Findings in Machine Learning (Chinese C linical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Me chanism: Algorithm Development and Validation)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingfrom Guilin, People’s Republic of China, by NewsRx journalists, research stated, “Clinical named entityrecognition (CNE R) is a fundamental task in natural language processing used to extract named en titiesfrom electronic medical record texts. In recent years, with the continuou s development of machine learning,deep learning models have replaced traditiona l machine learning and template-based methods, becomingwidely applied in the CN ER field.”

    Tongde Hospital Zhejiang Province Reports Findings in Breast Cancer Screening (M achine Learning Based on Digital Mammography to Reduce the Need for Invasive Bio psies of Benign Calcifications Classified in BI-RADS Category 4)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Diagnostics and Screen ing - Breast Cancer Screening is the subjectof a report. According to news repo rting originating in Hangzhou, People’s Republic of China, byNewsRx journalists , research stated, “This study aims to develop a machine learning model applied ondigital mammograms to reduce unnecessary invasive biopsies for suspicious cal cifications classified as BIRADScategory 4. This study retrospectively analyze d data from 372 female patients with pathologicallyconfirmed BI-RADS category 4 mammographic calcifications.”

    Tongde Hospital Zhejiang Province Reports Findings in Breast Cancer Screening (M achine Learning Based on Digital Mammography to Reduce the Need for Invasive Bio psies of Benign Calcifications Classified in BI-RADS Category 4)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Diagnostics and Screen ing - Breast Cancer Screening is the subjectof a report. According to news repo rting originating in Hangzhou, People’s Republic of China, byNewsRx journalists , research stated, “This study aims to develop a machine learning model applied ondigital mammograms to reduce unnecessary invasive biopsies for suspicious cal cifications classified as BIRADScategory 4. This study retrospectively analyze d data from 372 female patients with pathologicallyconfirmed BI-RADS category 4 mammographic calcifications.”