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    Recent Studies from School of Engineering and Sciences Add New Data to Machine L earning (Automatic Selection of Machine Learning Models for Armed People Identif ication)

    39-39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 the School of Engineer ing and Sciences by NewsRx correspondents, research stated, “This researchaims to improve the automatic identification of armed people in surveillance videos. We focus on peoplearmed with pistols and revolvers.”

    Department of Computer Science Researchers Report Recent Findings in Artificial Intelligence [Autonomous vehicles congestion model: A transpa rent LSTM-based prediction model corporate with Explainable Artificial Intellige nce (EAI)]

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on artificial intelligence have bee n presented. According to news reporting from theDepartment of Computer Science by NewsRx journalists, research stated, “Urban traffic congestion presentsa ra nge of vital difficulties requiring precise prediction models in order to facili tate traffic managementfor Autonomous Vehicles.”

    New Data from Kunming University Illuminate Findings in Robotics (Robot Joint Cy cloidal Gear Tooth Fault Detection In Robot Working Conditions Based On Piecewis e Mean Difference)

    41-42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 reporting out of Kunming, People’s Republic of China, by N ewsRx editors, research stated, “In robot joints or rotary vector(RV) reducers, where cycloidal gears perform complex low-speed rotating motions involving reci procatingvariable speed and incomplete rotation, conventional methods typically fail to detect their tooth fault. Toaddress this issue, a piecewise mean diffe rence (PMD) method is proposed in this article.”

    Study Results from Technical University in the Area of Robotics Published (Contr ibutions to the Development of Tetrahedral Mobile Robots with Omnidirectional Lo comotion Units)

    41-41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 reporting originating fromCluj Napoca, Romania, by NewsRx correspondents, research stated, “In this paper, the authors presentthe proces s of modeling, building, and testing two prototypes of tetrahedral robots with o mnidirectionallocomotion units.”

    New Artificial Intelligence Study Findings Recently Were Published by Researcher s at TECNALIA (On the black-box explainability of object detection models for sa fe and trustworthy industrial applications)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Donostia San Sebasti an, Spain, by NewsRx editors, the research stated, “In the realm of humanmachine interaction, artificial intelligence has become a powerful tool for accelerati ng data modelingtasks.”

    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.”

    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.”

    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.”