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

    Chinese Academy of Sciences Reports Findings in Machine Learning (Quantifying th e Impact of Factors on Soil Available Arsenic Using Machine Learning)

    115-115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 Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Arsenic (As)can accumulate in edible plant parts and thus pose a serious threat to human health. Identifyin g thecontributions of various factors to soil available As is crucial for evalu ating environmental risks.”

    Fujian Medical University Reports Findings in Artificial Intelligence (Advances in artificial intelligence for meibomian gland evaluation: A comprehensive review)

    116-116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 Fuzho u, People’s Republic of China, by NewsRx correspondents, research stated,“Meibo mian gland dysfunction (MGD) is increasingly recognized as a critical contributo r to evaporativedry eye, significantly impacting visual quality. With a global prevalence estimated at 35.8 %, it presentssubstantial challenges for clinicians.”

    New Robotics Study Findings Reported from Shanxi University (Smaller and Faster Robotic Grasp Detection Model Via Knowledge Distillation and Unequal Feature Enc oding)

    117-117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 Robotics. According to news originating fromTaiyuan, People’s Republic of China , by NewsRx correspondents, research stated, “In order to achievehigher accurac y, the complexity of grasp detection network increases accordingly with complica ted modelstructures and tremendous parameters. Although various light-weight st rategies are adopted, directlydesigning the compact network can be sub-optimal and difficult to strike the balance between accuracyand model size.”

    University of Rhode Island Researcher Provides Details of New Studies and Findin gs in the Area of Robotics (Building an Educational Automated Mechatronics-Based Sorting System)

    118-118页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reportingoriginating from Kingston, Rhode Island , by NewsRx correspondents, research stated, “This paper discussesthe developme nt of an automated sorting machine designed as a comprehensive mechatronics educational project. The project integrates mechanical and electrical design, incorp orating a robot arm, amicrocontroller, sensors, and actuators.”

    Studies from Zhejiang University of Water Resources and Electric Power Add New F indings in the Area of Computational Intelligence (Public Opinion Evolution Law and Sentiment Analysis of Campus Online Public Opinion Events)

    119-120页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on computational int elligence have been published. According tonews originating from Zhejiang, Peop le’s Republic of China, by NewsRx correspondents, research stated,“In the conte xt of the new era, teachers and students in colleges and universities, as well a s the generalpublic, rely more on the Internet and social media to obtain news, express their opinions, and shareinformation, and the dissemination of public opinion events in colleges and universities is not only relatedto the physical and mental health of teachers and students but also to the reform and developmen t ofcolleges and universities.”

    Fondazione Policlinico Universitario A. Gemelli IRCCS Reports Findings in Roboti cs (Robotic approach for the treatment of gynecological cancers recurrences: A t en-year single-institution experience)

    120-120页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting fromRome, Italy, by NewsRx journalis ts, research stated, “Although the management of gynecological cancersrecurrenc es may be challenging, due to the heterogeneity of recurrent disease, the aim of this work is topresent a descriptive analysis of gynecological malignancies re currences in our institution treated by roboticapproach. We performed a retrosp ective review and analysis of data of patients who underwent roboticsurgery for recurrent gynecological malignancies at Catholic University of the Sacred Heart h, Rome, fromJanuary 2013 to January 2024.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Zhe jiang University (Damage Classification and Evolution In Composite Under Low-vel ocity Impact Using Acoustic Emission, Machine Learning and Wavelet Packet …)

    121-121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 reportingoriginating in Hangzhou, People’s Re public of China, by NewsRx journalists, research stated, “Theprimary objective of this research is to conduct an exhaustive experimental investigation into the damageidentification and damage evolutionary mechanisms in laminated CFRP unde r lowvelocity impact. Therecorded acoustic signals were classified by Principal Component Analysis, Pearson correlation analysisand K-means++ clustering algor ithm and four damage modes including matrix cracking, delamination,fiber-matrix debonding and fiber failure are identified.”

    Guangdong Ocean University Researchers Describe Research in Artificial Intellige nce (Forecasting storm tides during strong typhoons using artificial intelligenc e and a physical model)

    122-122页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting out of Zhanjiang, People ’s Republic of China, by NewsRx editors, research stated, “The combinationof ty phoon-induced storm surges and astronomical tides can result in extreme seawater levels anddisastrous effects on coastal socioeconomic systems.”

    New Findings on Machine Learning from Tongji University Summarized (Thickness Re gression for Backfill Grouting of Shield Tunnels Based On Gpr Data and Catboost & Bo-tpe: a Full-scale Model Test Study)

    122-123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 news reporting originating in Shanghai, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Ground penetr ating radar (GPR) is a vital non-destructive testing (NDT) technology that can b eemployed for detecting the backfill grouting of shield tunnels. To achieve int elligent analysis of GPR dataand overcome the subjectivity of traditional data processing methods, the CatBoost & BO-TPE model wasconstructed fo r regressing the grouting thickness based on GPR waveforms.”

    Findings from Tsinghua University Broaden Understanding of Machine Learning (Hea t Convection Enhancement of Unilateralheated Square Channels By Inclined Ribs O ptimized By Machine Learning)

    124-124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 Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Optimizing struc ture parameters is pivotal in enhancing convective heat. This study leverages ma chinelearning methods to establish a relationship between input parameters and targets, providing a novelapproach to structure parameter optimization in conve ctive heat transfer of a unilateral-heated squarechannel with inclined ribs.”