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    Recent Findings from Hubei University of Arts & Science Has Provid ed New Information about Machine Learning (Battery Health Diagnostics: Bridging the Gap Between Academia and Industry)

    66-67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 Machine Learning. According to news reporting outof Xiangyang, People’s Republic of Ch ina, by NewsRx editors, research stated, “Diagnostics of batteryhealth, which e ncompass evaluation metrics such as state of health, remaining useful lifetime, and endof life, are critical across various applications, from electric vehicle s to emergency backup systems andgrid-scale energy storage. Diagnostic evaluati ons not only inform about the state of the battery systembut also help minimize downtime, leading to reduced maintenance costs and fewer safety hazards.”

    Data on Influenza A Virus Reported by Researchers at Ioffe Institute (Dendritic Ag@c-si Structure for Influenza a Virus Detection By Sers and Machine Learning)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in RNA Viruses - Infl uenza A Virus. According to news reporting fromSt. Petersburg, Russia, by NewsR x journalists, research stated, “The combination of Surface -enhancedRaman Scat tering (SERS) method and machine learning algorithms has been successfully demon stratedfor the detection and differentiation of influenza A virus in buffer med ium. Dendritic Ag nanostructureson single -crystal Si wafer have been proposed as SERS-active substrates, which are fabricated using alow-cost and reproducibl e AgNO3 reduction method.”

    Guangzhou Red Cross Hospital Reports Findings in Artificial Intelligence (Predic tive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus)

    68-69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 to newsreporting out of Guangzhou, Peop le’s Republic of China, by NewsRx editors, research stated, “To explorethe pred ictive value of placental features in early pregnancy for gestational diabetes m ellitus (GDM) usingdeep and radiomics-based machine learning (ML) applied to ul trasound imaging (USI), and to developa nomogram in conjunction with clinical f eatures. This retrospective multicenter study included 415pregnant women at 11- 13 weeks of gestation from two institutions: the discovery group from center 1( n=305, control group n=166, GDM group n=139), and the independent validation coh ort (n=110,control group n=57, GDM group n=53) from center 2.”

    Study Findings on Robotics and Artificial Intelligence Detailed by Researchers a t Universidad Panamericana (Improving engineering students’ understanding of cla ssical physics through visuo-haptic simulations)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on robotics and artificial intelligen ce is now available. According to news reportingout of Ciudad de Mexico, Mexico , by NewsRx editors, research stated, “The teaching process plays acrucial role in the training of professionals.”

    October University of Modern Sciences and Arts Researchers Provide New Study Fin dings on Artificial Intelligence (Navigating the impact: a study of editors’ and proofreaders’ perceptions of AI tools in editing and proofreading)

    70-71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 reportingoriginating from October Un iversity of Modern Sciences and Arts by NewsRx correspondents, researchstated, “Human editors and proofreaders now face a new, and possibly serious, challenge: the emergenceof artificial intelligence (AI) tools that some consider to be as efficient and precise as experts inediting/proofreading.”

    University of Cyprus Reports Findings in Machine Learning (Statistical and machi ne learning analysis for the application of microbially induced carbonate precip itation as a physical barrier to control seawater intrusion)

    71-72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 Nicosia, Cyprus, by Ne wsRx correspondents, research stated, “Seawater intrusion incoastal aquifers is a significant problem that can be addressed through the construction of subsurf acedams or physical cut-off barriers. An alternative method is the use of micro bially induced carbonateprecipitation (MICP) to reduce the hydraulic conductivi ty of the porous medium and create a physicalbarrier.”

    Tongji University Reports Findings in Artificial Intelligence (Automatic detecti on of cerebral microbleeds using susceptibility weighted imaging and artificial intelligence)

    72-73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 to newsreporting originating from Shang hai, People’s Republic of China, by NewsRx correspondents, researchstated, “Eff iciently and accurately detecting cerebral microbleeds (CMBs) is crucial for dia gnosing dementia,stroke, and traumatic brain injury. Manual CMB detection, howe ver, is time-consuming anderror-prone.”

    Study Data from QILU University of Technology Update Knowledge of Machine Learni ng (Predicting 4d Hardness Property From 3d Datasets for Performance-tunable Mat erial Extrusion Additive Manufacturing)

    73-74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 reportingfrom Jinan, People’s Republic of Chi na, by NewsRx journalists, research stated, “This study exploresthe application of machine learning in predicting the hardness of a quaternary polymer blends d uring3D printing, aiming to reduce the development and experimental costs of mi xing extrusion head and toexpedite the realization of multi -material co -blend ing printing technology. We selected four types ofpolymer materials: polylactic acid (PLA), thermoplastic polyurethane (TPU), polyethylene terephthalateglycol (PETG), acrylonitrile butadiene styrene (ABS), and obtained composite materials of various hardnessvalues through random combinations of three (from four) mat erials.”

    Singapore National Eye Centre Reports Findings in Diabetic Kidney Disease (Devel opment and External Validation of Machine Learning Models for Diabetic Microvasc ular Complications: Cross-Sectional Study With Metabolites)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Kidney Diseases and Co nditions - Diabetic Kidney Disease is thesubject of a report. According to news reporting originating in Singapore, Singapore, by NewsRx journalists,research stated, “Diabetic kidney disease (DKD) and diabetic retinopathy (DR) are major d iabeticmicrovascular complications, contributing significantly to morbidity, di sability, and mortality worldwide.The kidney and the eye, having similar microv ascular structures and physiological and pathogenic features,may experience sim ilar metabolic changes in diabetes.”

    Beijing Forestry University Researcher Provides New Insights into Machine Learni ng (Feature Optimization-Based Machine Learning Approach for Czech Land Cover Cl assification Using Sentinel-2 Images)

    75-76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 artificial intelligence is now available. According to news reportingfrom Beijing, People’s Republic o f China, by NewsRx journalists, research stated, “The Czech Republic isone of t he countries along the Belt and Road Initiative, and classifying land cover in t he Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperationbetween China and the Czech Repub lic. This study aims to develop a practical approach for land coverclassificati on in the Czech Republic, with the goal of efficiently acquiring spatial distrib ution informationregarding its forest resources.”