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

    Study Data from King Saud University Update Understanding of Machine Learning (M odeling and validation of purification of pharmaceutical compounds via hybrid pr ocessing of vacuum membrane distillation)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from King Saud University by NewsRx correspondents, research stated, “This study provides an in-depth exam ination of forecasting the concentration of pharmaceutical compounds utilizing t he input features (coordinates) r and z through a range of machine learning mode ls. Purification of pharmaceuticals via vacuum membrane distillation process was carried out and the model was developed for prediction of separation efficiency based on hybrid approach.”

    Recent Findings from Sichuan University Provides New Insights into Machine Learn ing (Visual Analytics of an Interpretable Prediction Model for the Glass Transit ion Temperature of Fluoroelastomers)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Yibin, People ’s Republic of China, by NewsRx journalists, research stated, “In development, p recise measurement and control of Tg is essential for researchers to thoroughly understand and master how variations in formulation and production processes imp act product performance. Given the complexity of industrial production, most man ufacturers repeatedly produce fluorine materials and test their Tg until it sati sfies the application environment’s demands.”

    University of Minnesota Researchers Update Current Data on Machine Learning (Mul ti-trait modeling and machine learning discover new markers associated with stem traits in alfalfa)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting originating from the University o f Minnesota by NewsRx correspondents, research stated, “Alfalfa biomass can be f ractionated into leaf and stem components. Leaves comprise a protein-rich and hi ghly digestible portion of biomass for ruminant animals, while stems constitute a high fiber and less digestible fraction, representing 50 to 70% of the biomass.”

    Baker Heart and Diabetes Institute Reports Findings in Artificial Intelligence ( Use of artificial intelligence-guided echocardiography to detect cardiac dysfunc tion and heart valve disease in rural and remote areas: Rationale and design of the ...)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Victo ria, Australia, by NewsRx correspondents, research stated, “Transthoracic echoca rdiography (TTE) is essential in the diagnosis of cardiovascular diseases (CVD), including but not limited to heart failure (HF) and heart valve disease (HVD). However, its dependence on expert acquisition means that its accessibility in ru ral areas may be limited, leading to delayed management decisions and potential missed diagnoses.”

    Shanghai Gongli Hospital Reports Findings in Urinary Incontinence (Clinical effi cacy of a rehabilitation management protocol for urinary incontinence after robo t-assisted laparoscopic prostatectomy)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Urologic Diseases and Conditions - Urinary Incontinence is the subject of a report. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “To evaluate the application of a rehabilitation management pr otocol for urinary incontinence after robot-assisted laparoscopic prostatectomy (RALP). We conducted a retrospective cohort study of 114 patients who underwent RALP between August 2021 and November 2021 as the control group and a prospectiv e analysis of 114 patients who underwent RALP between May 2022 and August 2022 a s the experimental group.”

    Studies from Qingdao University Update Current Data on Artificial Intelligence ( Substitution or creation? Identifying the role of artificial intelligence in emp loyment)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Shandon g, People’s Republic of China, by NewsRx correspondents, research stated, “Recog nising the significant role of artificial intelligence in the labour market is e ssential for China to develop sustainably.”

    Study Findings from London School of Economics and Political Science Update Know ledge in Robotics (Streamlining Industrial Robot Maintenance: An Intelligent Voi ce Query Approach for Enhanced Efficiency)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented. According to news reporting out of London, United Kingdom, by NewsRx ed itors, research stated, “Industrial robots are indispensable in modern manufactu ring across various sectors, including nuclear, chemical, and aerospace industri es.” Funders for this research include Greater Bay Area Institute For Innovation, Hun an University.

    Data on Artificial Intelligence Reported by Chao-Ran Peng and Colleagues (Identi fication of genomic alteration and prognosis using pathomics-based artificial in telligence in oral leukoplakia and head and neck squamous cell carcinoma: A ...)

    75-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Loss of chromosome 9p is an important biomarker in the malignant transformation of oral leukoplakia (OLK) to head and neck squamous cell carcinoma (HNSCC), and is associated with the prognosis of HNSCC patients. However, various challenges have prevented 9p l oss from being assessed in clinical practice.”

    Studies from COMSATS University Islamabad in the Area of Machine Learning Publis hed (Classification and monitoring of arm exercises using machine learning and w rist-worn band)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Lahore, Pakistan, by NewsRx correspondents, research stated, “Exercise is essential for a healthy lifestyle, thus it is important to consider how to keep proper postur e when performing arm exercises at home. This work uses wrist-worn bands with th e MPU6050 sensor to address these issues, which collects motion data using accel eration measurements.”

    Report Summarizes Artificial Intelligence Study Findings from National Universit y Hospital (Applications of Artificial Intelligence and Machine Learning in Spin e MRI)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news originating from Singapore, Si ngapore, by NewsRx editors, the research stated, “Diagnostic imaging, particular ly MRI, plays a key role in the evaluation of many spine pathologies. Recent pro gress in artificial intelligence and its subset, machine learning, has led to ma ny applications within spine MRI, which we sought to examine in this review.”