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

    University of Tehran Researchers Report on Findings in Machine Learning (Smart U rban Cadastral Map Enrichment-A Machine Learning Method)

    29-30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 originatingfrom Tehran, Iran, by NewsR x editors, the research stated, “Enriching and updating maps are among themost important tasks of any urban management organization for informed decision makin g.”

    Studies from Sun Yat-sen University Reveal New Findings on Robotics (Novel Snap- layer Mmpc Scheme Via Neural Dynamics Equivalency and Solver for Redundant Robot Arms With Five-layer Physical Limits)

    30-30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 reportingout of Guangzhou, People’s Republic of China, by NewsRx editors, research stated, “To obtain smootherkinematic con trol of minimum motion, a novel snap-layer minimum motion scheme, otherwise know n asthe minimum motion planning and control (MMPC) scheme for redundant robot a rms, is proposed for thefirst time in this study. With the primary task of trac king planned paths and the consideration of satisfyingfive-layer physical limit s, the snap-layer MMPC problem is transformed into a quadratic programming (QP)problem.”

    First Affiliated Hospital of Jinan University Reports Findings in ArtificialInt elligence (Image-based artificial intelligence for the prediction of pathologica l complete response to neoadjuvant chemoradiotherapy in patients with rectal can cer: …)

    31-32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 Guangdong, Peop le’s Republic of China, by NewsRx editors, research stated, “Artificialintellig ence (AI) holds enormous potential for noninvasively identifying patients with r ectal cancer whocould achieve pathological complete response (pCR) following ne oadjuvant chemoradiotherapy (nCRT).We aimed to conduct a meta-analysis to summa rize the diagnostic performance of image-based AI modelsfor predicting pCR to n CRT in patients with rectal cancer.”

    Affiliated Hospital of North Sichuan Medical College Reports Findings in Thyroid ectomy [Perioperative outcomes of bilateral axillobreast app roach robotic thyroidectomy (BABART) versus minimally invasive thyroidectomy (MI T): a systematic review …]

    32-33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 - Thyroidectom y is the subject of a report. Accordingto news reporting from Nanchong, People’ s Republic of China, by NewsRx journalists, research stated,“Minimally invasive thyroidectomy (MIT) is increasingly being used for the thyroid tumors. The comparison of bilateral axillo-breast approach robotic thyroidectomy (BABART) with o ther MIT has not yetled to a unified conclusion with regard to surgical outcome s.”

    New Findings on Machine Learning from Ton Duc Thang University Summarized (Undra ined Sinkhole Stability of Circular Cavity: a Comprehensive Approach Based On Is ogeometric Analysis Coupled With Machine Learning)

    33-33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 Machine Learn ing have been published. According to newsoriginating from Ho Chi Minh City, Vi etnam, by NewsRx correspondents, research stated, “An innovativeapproach that c ombines isogeometric analysis (IGA), limit analysis, machine learning, and the m ultivariateadaptive regression splines (MARS) model is presented in this paper to investigate sinkhole stability ofcircular cavity. The upper bound limit anal ysis method using IGA and second-order cone programming(SOCP) is employed to an alyze circular cavity stability.”

    Researchers at Xiamen University of Technology Release New Data on Intelligent S ystems (Dynamic Feedback Algorithm Based On Spatial Corner Fitness for Solving t he Three-dimensional Multiple Bin-size Bin Packing Problem)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Machine Learning - Intellige nt Systems are discussed in a new report.According to news originating from Fuj ian, People’s Republic of China, by NewsRx correspondents, researchstated, “To improve cargo loading efficiency and achieve diverse needs of companies for the loading process,this paper innovatively establishes a multiple objective mixed integer programming model for the threedimensionalmultiple bin-size bin packin g problem (3D-MBSBPP). The model is designed to maximizecontainer space utiliza tion rate and cargo load balance, minimize container usage costs, and incorporat essome practical constraints.”

    Finnish Red Cross Blood Service Reports Findings in Machine Learning (A machine- learning method for biobank-scale genetic prediction of blood group antigens)

    35-35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 from Vantaa, Finl and, by NewsRx correspondents, research stated, “A key elementfor successful bl ood transfusion is compatibility of the patient and donor red blood cell (RBC) a ntigens.Precise antigen matching reduces the risk for immunization and other ad verse transfusion outcomes.”Financial supporters for this research include Government of Finland VTR funding , Independent ResearchFund Denmark, Bloddonornes forskningsfond, A.P Moller Fon den, Knut och Alice WallenbergsStiftelse.

    Sanko University Reports Findings in Artificial Intelligence (Artificial intelli gence performance in clinical neurology queries: the ChatGPT model)

    36-37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 newsoriginating from Gaziantep, Turk ey, by NewsRx correspondents, research stated, “The use of artificialintelligen ce technology is progressively expanding and advancing in the health and biomedi cal literature. Since its launch, ChatGPT has rapidly gained popularity and beco me one of the fastest-growing artificialintelligence applications in history.”

    Study Findings on Artificial Intelligence Described by Researchers at Department of Computing (Discriminative context-aware network for camouflaged object detec tion)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According tonews reporting out of Letterkenny, I reland, by NewsRx editors, research stated, “IntroductionAnimalsuse camouflage (background matching, disruptive coloration, etc.) for protection, confusing pre datorsand making detection difficult. Camouflage Object Detection (COD) tackles this challenge by identifyingobjects seamlessly blended into their surrounding s.”

    University of Milan Reports Findings in Esophagectomy (Fashioning esophagogastri c anastomosis in robotic Ivor-Lewis esophagectomy: a multicenter experience)

    37-38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 - Esophagectom y is the subject of a report. According tonews originating from Milan, Italy, b y NewsRx correspondents, research stated, “The aim of the presentstudy is to co mpare outcomes of the robotic hand-sewn, linear- and circular-stapled techniques performedto create an intrathoracic esophagogastric anastomosis in patients wh o underwent Ivor-Lewis esophagectomy.Patients who underwent a planned Ivor-Lewi s esophagectomy were retrospectively analysed fromprospectively maintained data bases.”