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    Naval Medical University Reports Findings in Chronic Obstructive Pulmonary Disea se (Comparison of deep-learning and radiomicsbased machine-learning methods for the identification of chronic obstructive pulmonary disease on low-dose compute d ...)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Lung Diseases and Cond itions - Chronic Obstructive PulmonaryDisease is the subject of a report. Accor ding to news reporting originating in Shanghai, People’s Republicof China, by N ewsRx journalists, research stated, “Radiomics and artificial intelligence appro aches havebeen developed to predict chronic obstructive pulmonary disease (COPD ), but it is still unclear whichapproach has the best performance. Therefore, w e established five prediction models that employed deeplearning(DL) and radiom ics-based machine-learning (ML) approaches to identify COPD on low-dosecomputed tomography (LDCT) images and compared the relative performance of the different models tofind the best model for identifying COPD.”

    Report Summarizes Mobile Technology Study Findings from Aristotle University of Thessaloniki (Towards Automating Personal Exercise Assessment and Guidance with Affordable Mobile Technology)

    97-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on mobile techno logy have been published. According to newsoriginating from Thessaloniki, Greec e, by NewsRx correspondents, research stated, “Physical activity (PA)offers man y benefits for human health. However, beginners often feel discouraged when intr oduced tobasic exercise routines.”

    First Affiliated Hospital of Guangxi Medical University Reports Findings in Arti ficial Intelligence (Construction and validation of artificial intelligence path omics models for predicting pathological staging in colorectal cancer: Using ... )

    98-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews originating from Guangxi, People ’s Republic of China, by NewsRx correspondents, research stated,“This retrospec tive observational study aims to develop and validate artificial intelligence (A I) pathomicsmodels based on pathological Hematoxylin-Eosin (HE) slides and path ological immunohistochemistry(Ki67) slides for predicting the pathological stag ing of colorectal cancer. The goal is to enable AI-assistedaccurate pathologica l staging, supporting healthcare professionals in making efficient and precise s tagingassessments.”

    Research from Suzhou University of Science and Technology in the Area of Machine Learning Described (Prediction of Soil Compaction Parameters Using Machine Lear ning Models)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to newsoriginating from Suzhou, Peo ple’s Republic of China, by NewsRx editors, the research stated, “MaximumDry De nsity (MDD) and Optimum Moisture Content (OMC) are two important parameters of s oil filling,which affect the soil stability and bearing capacity, and thus the reliability and durability of facilities suchas highways and bridges.”

    Reports from Punjabi University Highlight Recent Research in Machine Learning (D evelopment of optimised software fault prediction model using machine learning)

    100-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Patiala, India, b y NewsRx correspondents, research stated, “Software fault prediction isa crucia l task, especially with the rapid improvements in software technology and increa sing complexityof software.”

    Researchers from Chinese Academy of Sciences Report on Findings in Robotics (A B io-inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learnin g of a Musculoskeletal Robot)

    101-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “It is a significantresearch direction for highly complex musculoskeletal robots that how to develop the abi lity of motionlearning and generalization. The cooperations of multiple brain r egions are crucial to improving motionperformance.”

    Research Results from Faculty of Industrial Design and Business Management Updat e Understanding of Artificial Intelligence (Citizen-Centric Governance: Enhancin g Citizen Engagement through Artificial Intelligence Tools)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news reportingout of Iasi, Romania, by New sRx editors, research stated, “The public sector presents important steps fordi gital transformation.”

    New Findings from University of Wisconsin Madison in the Area of Machine Learnin g Published (A Machine Learning-Based High- Resolution Soil Moisture Mapping and Spatial-Temporal Analysis: The mlhrsm Package)

    103-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Madison , Wisconsin, by NewsRx editors, the research stated, “Soil moisture is akey env ironmental variable.”Funders for this research include Usda Agriculture And Food Research Initiative Foundational Program;Usda Agriculture And Food Research Initiative Foundational Program Accession; Usda Hatch Project;Wisconsin Alumni Research Foundation.

    Data on Machine Learning Described by Researchers at Nankai University (Deployme nt of Interpretable Machine Learning In a Water Treatment Device - Feasibility E xploration of Performance Enhancement)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Tianjin, P eople’s Republic of China, by NewsRx correspondents, research stated, “Machine l earning (ML) provides a promising tool for predictive control and unattended ope ration ofwater treatment processes, especially in decentralized water supply du e to its high variability of waterquality and scarcity of manpower. However, mo del deployment after ML development is a challenge thathinders their implementa tion.”

    Research Results from China Agricultural University Update Understanding of Mach ine Learning (Using Machine Learning Methods Combined with Vegetation Indices an d Growth Indicators to Predict Seed Yield of * * Bromus inermis* *)

    104-105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 tonews reporting out of Beijing, Peopl e’s Republic of China, by NewsRx editors, research stated, “Smoothbromegrass (* * Bromus inermis* * ) is a perennial, high-quality forage grass. However, its s eed yield isinfluenced by agronomic practices, climatic conditions, and the gro wing year.”