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

    New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of New Brunswick (Ciciov2024: Advancing Realistic Ids Approaches Against D os and Spoofing Attack In Iov Can Bus)

    10-11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 Fredericton, C anada, by NewsRx journalists, research stated, “Considering thecomplexity of ne twork traffic in IoV operations, methods that can identify complex patterns beco meuseful. Machine learning fosters several techniques to enhance the detection, prevention, and mitigationof cyberattacks.”

    Researcher at Newcastle University Zeroes in on Artificial Intelligence (DECLARE * * d* * : A Polytime LTL [ [f] ] Fragment)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in artificial intelli gence. According to news reporting out of Newcastleupon Tyne, United Kingdom, b y NewsRx editors, research stated, “This paper considers a specificationrewriti ng meachanism for a specific fragment of Linear Temporal Logic for Finite traces , DECLARE* * d** , working through an equational logic and rewriting mechanism under customary practitioner assumptionsfrom the Business Process Management li terature.”

    Recent Research from Ocean University of China Highlight Findings in Machine Lea rning (Assessing the Strength of Deep-sea Surface Ultrasoft Sediments With T-bar Penetration: a Machine Learning Approach)

    12-13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 out of Qingdao, People’s Repu blic of China, by NewsRx editors, research stated, “With theexpansion of marine resource utilization, geological disaster prediction, and ecological protection in deepsearegions, accurate identification of deep-sea engineering geological environments has become paramount,highlighting the significance of understandi ng the mechanical characteristics of deep-sea surface ultrasoftsediments (DSUSs ). However, DSUSs typically exhibit low strength, high compressibility, and sign ificantfluidity, making sampling for indoor strength testing a challenging task .”

    Guangdong University of Education Reports Findings in Chronic Obstructive Pulmon ary Disease (Practice of distributed machine learning in clinical modeling for c hronic obstructive pulmonary disease)

    13-14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 from Guangzhou, People’sRepublic of China, b y NewsRx correspondents, research stated, “The high prevalence, morbidity and mortality, and disease heterogeneity of chronic obstructive pulmonary disease (COP D) result in the scattereddata derived from patient visits in different medical units. The huge cost of integrating the scattered datafor analysis and modelin g, as well as the legal demand for patient privacy protection lead to the emergence of data island.”

    University of British Columbia Reports Findings in Tracheostomy (Predicting Trac heostomy Need on Admission to the Intensive Care Unit-A Multicenter Machine Lear ning Analysis)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Tracheostomy is the subject of a report. According to newsreporting out of Vancouver, Canad a, by NewsRx editors, research stated, “It is difficult to predict whichmechani cally ventilated patients will ultimately require a tracheostomy which further p redisposes themto unnecessary spontaneous breathing trials, additional time on the ventilator, increased costs, and furtherventilation-related complications s uch as subglottic stenosis. In this study, we aimed to develop a machinelearnin g tool to predict which patients need a tracheostomy at the onset of admission t o the intensivecare unit (ICU). Retrospective Cohort Study.”

    University of Edinburgh Reports Findings in Artificial Intelligence (Evaluating artificial intelligence for medical imaging: a primer for clinicians)

    15-15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 Edinburgh, Unit ed Kingdom, by NewsRx editors, the research stated, “Artificial intelligencehas the potential to transform medical imaging. The effective integration of artifi cial intelligence intoclinical practice requires a robust understanding of its capabilities and limitations.”

    Reports from Technical University Dortmund (TU Dortmund) Add New Data to Finding s in Machine Learning (Enhancing Damage Prediction In Bulk Metal Forming Through Machine Learningassisted Parameter Identification)

    16-16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 reportingout of Dortmund, Germany, by NewsRx editors, research stated, “The open-source parameter identificationtool ADAPT ( A diversely applicable parameter identification Tool) is integrated with a machi ne learningbasedapproach for start value prediction in order to calibrate a Gu rson-Tvergaard-Needleman (GTN) anda Lemaitre damage model. As representative ex ample case-hardened steel 16MnCrS5 is elaborated.”

    Data on Artificial Intelligence Reported by Ravnitya Pal Singh and Colleagues (A questionnaire study regarding knowledge, attitude and usage of artificial intel ligence and machine learning by the orthodontic fraternity of Northern India)

    17-17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 Jammu Kashmir, India, by NewsRx correspondents, research stated, “The aimof the ques tionnaire study was to determine the knowledge, attitude, and perception of orth odontistsregarding the role of artificial intelligence in dentistry in general and orthodontics specifically, and todetermine the use of artificial intelligen ce by the orthodontist. This cross-sectional study was done amongthe orthodonti sts of Northern India (clinicians, academicians, and postgraduates) through a we b-basedelectronic survey using Google Forms.”

    Study Findings on Artificial Intelligence Reported by a Researcher at University of Birmingham (Intersectionality in Artificial Intelligence: Framing Concerns a nd Recommendations for Action)

    18-18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 the University of Birm ingham by NewsRx editors, research stated, “While artificial intelligence (AI)i s often presented as a neutral tool, growing evidence suggests that it exacerbat es gender, racial, andother biases leading to discrimination and marginalizatio n.”

    Researcher at Southwest Petroleum University Has Published New Data on Machine L earning (Method and application of sand body thickness prediction based on virtu al sample-machine learning)

    18-19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 reportingfrom Chengdu, People’s Repu blic of China, by NewsRx journalists, research stated, “The purpose of this pape r is to clarify the spatial spreading characteristics of the channel sand body i n the Jurassic ShaximiaoFormation reservoir in central Sichuan, and to improve the precision of channel characterization.”