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

    Albanian University Researcher Adds New Findings in the Area of Machine Learning (Web Application Firewall for Detecting and Mitigation of Based DDoS Attacks Us ing Machine Learning and Blockchain)

    9-10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 reportingoriginating from Albanian Uni versity by NewsRx correspondents, research stated, “Applications have rapidlytr ansformed the data access, business operations, and communication methods.”

    Albanian University Researcher Adds New Findings in the Area of Machine Learning (Web Application Firewall for Detecting and Mitigation of Based DDoS Attacks Us ing Machine Learning and Blockchain)

    9-10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 reportingoriginating from Albanian Uni versity by NewsRx correspondents, research stated, “Applications have rapidlytr ansformed the data access, business operations, and communication methods.”

    Researchers from Zhejiang University Discuss Research in Robotics (Robustness mu lti-objective optimization for parallel robot based on subregional meta-heuristi c iteration)

    10-11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 newsoriginating from Hangzhou, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Purpose - This work aims to provide a rapid robust optimization design solution for parallel robots ormechanisms, thereby circumventing inefficiencies and wastage caused by empiri cal design, as well asnumerous physical verifications, which can be employed fo r creating high-quality prototypes of parallelrobots in a variety of applicatio ns.”

    Researchers from Zhejiang University Discuss Research in Robotics (Robustness mu lti-objective optimization for parallel robot based on subregional meta-heuristi c iteration)

    10-11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 newsoriginating from Hangzhou, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Purpose - This work aims to provide a rapid robust optimization design solution for parallel robots ormechanisms, thereby circumventing inefficiencies and wastage caused by empiri cal design, as well asnumerous physical verifications, which can be employed fo r creating high-quality prototypes of parallelrobots in a variety of applicatio ns.”

    Fudan University Reports Findings in Machine Learning (Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ult rasound images)

    11-11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 Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated, “Toevaluate the efficacy of automated machine learning (AutoML) models in detecting fundus dise ases usingocular B-scan ultrasound images. Ophthalmologists annotated two B-sca n ultrasound image datasets todevelop three AutoML models-single-label, multi-c lass single-label and multi-label-on the Vertex artificialintelligence (AI) pla tform.”

    Fudan University Reports Findings in Machine Learning (Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ult rasound images)

    11-11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 Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated, “Toevaluate the efficacy of automated machine learning (AutoML) models in detecting fundus dise ases usingocular B-scan ultrasound images. Ophthalmologists annotated two B-sca n ultrasound image datasets todevelop three AutoML models-single-label, multi-c lass single-label and multi-label-on the Vertex artificialintelligence (AI) pla tform.”

    Turku University Hospital Reports Findings in Brain Injury (Common lipidomic sig natures across distinct acute brain injuries in patient outcome prediction)

    12-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Central Nervous System Diseases and Conditions - Brain Injury is thesubject of a report. According to news reporting out of Turku, Finland, by NewsRx editors, research stated,“Lipi domic alterations have been associated with various neurological diseases. Exami ning temporalchanges in serum lipidomic profiles, irrespective of injury type, reveals promising prognostic indicators.”

    Turku University Hospital Reports Findings in Brain Injury (Common lipidomic sig natures across distinct acute brain injuries in patient outcome prediction)

    12-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Central Nervous System Diseases and Conditions - Brain Injury is thesubject of a report. According to news reporting out of Turku, Finland, by NewsRx editors, research stated,“Lipi domic alterations have been associated with various neurological diseases. Exami ning temporalchanges in serum lipidomic profiles, irrespective of injury type, reveals promising prognostic indicators.”

    Affiliated Cancer Hospital Reports Findings in Machine Learning (Non-invasive Pr ediction of Lymph Node Metastasis in NSCLC Using Clinical, Radiomics, and Deep L earning Features From 18FFDG PET/CT Based on Interpretable Machine Learning)

    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 Machine Learning is th e subject of a report. According to newsoriginating from Harbin, People’s Repub lic of China, by NewsRx correspondents, research stated, “Thisstudy aimed to de velop and evaluate a machine learning model combining clinical, radiomics, and d eeplearning features derived from PET/CT imaging to predict lymph node metastas is (LNM) in patients withnon-small cell lung cancer (NSCLC). The model’s interp retability was enhanced using Shapley additiveexplanations (SHAP).”

    Affiliated Cancer Hospital Reports Findings in Machine Learning (Non-invasive Pr ediction of Lymph Node Metastasis in NSCLC Using Clinical, Radiomics, and Deep L earning Features From 18FFDG PET/CT Based on Interpretable Machine Learning)

    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 Machine Learning is th e subject of a report. According to newsoriginating from Harbin, People’s Repub lic of China, by NewsRx correspondents, research stated, “Thisstudy aimed to de velop and evaluate a machine learning model combining clinical, radiomics, and d eeplearning features derived from PET/CT imaging to predict lymph node metastas is (LNM) in patients withnon-small cell lung cancer (NSCLC). The model’s interp retability was enhanced using Shapley additiveexplanations (SHAP).”