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

    Data on Machine Learning Reported by Chaoyang Zhang and Colleagues (Characteriza tion and exploration of dynamic variation of volatile compounds in vine tea duri ng processing by GC-IMS and HS-SPME/GC-MS combined with machine learning algorit hm)

    48-48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 reportingoriginating in Hubei, People’s Republic of China, by NewsRx journalists, research stated, “It is imperativeto unravel t he dynamic variation of volatile components of vine tea during processing to pro vide guidancefor tea quality evaluation. In this study, the dynamic changes of volatile compounds of vine tea duringprocessing were characterized by GC-IMS an d HS-SPME/GC-MS.”

    Researchers at Taiyuan University of Technology Publish New Data on Robotics (Im proved ORB-SLAM3 Based on MCMCC for Mobile Robot Navigation)

    49-50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 robotics have been published. According to news originatingfrom Taiyuan, People’s Republic o f China, by NewsRx editors, the research stated, “Purposes Thesparse feature ma p established by using VSLAM cannot be directly used for navigation, and the exi sting methods of converting sparse feature maps into grid maps for navigation su ffer from low accuracy of mapconstruction, resulting in the failure to achieve accurate navigation.”

    Findings from National Institute of Technology Silchar Yields New Data on Machin e Translation (An Empirical Study of a Novel Multimodal Dataset for Low-resource Machine Translation)

    50-51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 Machine Translation. According to news originatingfrom Assam, India, by NewsRx correspondents, research stated, “Cues from multiple modalities have beensucces sfully applied in several fields of natural language processing including machin e translation (MT).However, the application of multimodal cues in low-resource MT (LRMT) is still an open research problem.”

    IRCCS Regina Elena National Cancer Institute Reports Findings in Diabetes Mellit us (Impact of diabetes mellitus on oncologic outcomes in patients receiving robo t-assisted radical cystectomy for bladder cancer)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nutritional and Metabo lic Diseases and Conditions - Diabetes Mellitusis the subject of a report. Acco rding to news reporting from Rome, Italy, by NewsRx journalists, researchstated , “Aim of this study is to investigate the association between DM and oncologica l outcomesamong patients with muscle-invasive (MI) or high-risk non-muscle inva sive (NMI) bladder cancer (BC)who underwent robot-assisted radical cystectomy w ith intracorporeal urinary diversion (RARC). An IRBapproved multi-institutional BC database was queried, including patients underwent RARC between January2013 and June 2023.”

    Investigators from Northeastern University Target Machine Learning (Machine Lear ning-assisted Research and Development of Chemiresistive Gas Sensors)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Shenyang, People’s Re public of China, by NewsRx editors, research stated, “The traditionaltrial-and- error testing to develop high-performance chemiresistive gas sensors is ineffici ent and fails tomeet the high demand for sensors in various industries. Machine learning (ML) can address the limitationsof trial-and-error testing and can be effectively utilized for enhancing, developing, and designing sensors.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Fundamental Research Funds for the Central Universities in C hina, Ministry of Education, China - 111Project, Natural Science Foundation of Hebei Province.

    Recent Findings from Anhui Polytechnic University Provides New Insights into Int elligent Systems (Cl-fusionbev: 3d Object Detection Method With Camera-lidar Fus ion In Bird’s Eye View)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - In telligent Systems have been presented. Accordingto news reporting out of Wuhu, People’s Republic of China, by NewsRx editors, research stated,“In the wave of research on autonomous driving, 3D object detection from the Bird’s Eye View (BE V)perspective has emerged as a pivotal area of focus. The essence of this chall enge is the effective fusion ofcamera and LiDAR data into the BEV.”

    Northern Jiangsu People’s Hospital Reports Findings in B-Cell Lymphoma (Predicti ng lymphoma prognosis using machine learningbased genes associated with lactyla tion)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - B-Cell Lymp homa is the subject of a report. Accordingto news reporting from Yangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“Lactylation, a newly discovered PTM involving lactic acid, is linked to solid tumor proliferati on andmetastasis. Lymphoma patients exhibit high lactic acid levels, yet lactyl ation’s role in lymphoma isunderexplored.”

    New Machine Translation Study Findings Has Been Reported by a Researcher at Maca u University of Science and Technology (Enhancement of English-Bengali Machine T ranslation Leveraging Back-Translation)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on machine translati on are discussed in a new report. According tonews originating from Macau, Peop le’s Republic of China, by NewsRx correspondents, research stated, “AnEnglish-B engali machine translation (MT) application can convert an English text into a c orrespondingBengali translation. To build a better model for this task, we can optimize English-Bengali MT.”Funders for this research include The Science And Technology Development Fund of Macao, MacaoSar, China.

    Firat University School of Medicine Reports Findings in Chondrosarcoma (CT radio mics-based machine learning model for differentiating between enchondroma and lo w-grade chondrosarcoma)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Chondrosarc oma is the subject of a report. According tonews originating from Elazig, Turke y, by NewsRx correspondents, research stated, “It may be difficult todistinguis h between enchondroma and low-grade malignant cartilage tumors (grade 1) radiolo gically. Thisstudy aimed to construct machine learning models using 3D computed tomography (CT)-based radiomicsanalysis to differentiate low-grade chondrosarc oma from enchondroma.”

    Study Results from Northeastern University Update Understanding of Robotics (Mul ti-mobile-robot Transport and Production Integrated System Optimization)

    57-58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 Robotic s. According to news reporting originating inShenyang, People’s Republic of Chi na, by NewsRx journalists, research stated, “A production workshopwith mobile r obots can be considered as a hybrid system consisting of a production system and a transportationone. Mobile robots are responsible for transferring production tasks among the machines of aproduction system and constitute a multi-robot tr ansport system.”