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

    New Machine Learning Study Results from Indian Institute of Technology (IIT) Mad ras Described (Evaluating External Generalizability of Machine Learning Models f or Recycled Aggregate Concrete Property Prediction)

    20-21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 from Chennai, India, by NewsR x journalists, research stated, “Machine learning (ML) modelshave gained import ance in predicting recycled aggregate concrete (RAC) properties, offering suppos edbenefits over conventional empirical and statistical techniques. However, whe ther ML models are externallygeneralizable for predicting RAC properties remain s unanswered.”

    New Findings from Tennessee Technological University in the Area of Machine Lear ning Published (Shallow Water Depth Estimation of Inland Wetlands Using Landsat 8 Satellite Images)

    21-22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 new report. According tonews reporting originating from C ookeville, Tennessee, by NewsRx correspondents, research stated, “Waterdepth af fects many aspects of wetland ecology, hydrology, and biogeochemistry.”

    Studies in the Area of Machine Learning Reported from Helwan University (Compara tive Analysis of Machine Learning Models of Linear Fresnel Solar Collector)

    22-22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 from Helwan, Egypt, by N ewsRx correspondents, research stated, “Modeling solar plants, likeLinear Fresn el Reflectors, plays an essential role in analyzing plant characteristics, asses sing overall efficiency,designing appropriate controllers, and optimizing syste m’s operation. Although physical modelingapproaches are widely used, their accu racy when compared to real operational data is deficient.”

    Research Reports from University of Birmingham Provide New Insights into Neural Computation (Deconstructing Deep Active Inference: A Contrarian Information Gath erer)

    23-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on neural computation ha ve been presented. According to newsreporting originating from Birmingham, Unit ed Kingdom, by NewsRx correspondents, research stated,“Active inference is a th eory of perception, learning, and decision making that can be applied to neuroscience, robotics, psychology, and machine learning. Recently, intensive research has been taking place toscale up this framework using Monte Carlo tree search a nd deep learning.”

    New Machine Learning Findings from University of Calabria Reported (A Parallel M achine Learning-based Approach for Tsunami Waves Forecasting Using Regression Tr ees)

    24-24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 newsreporting out of Arcavacata di Rende, Italy, by NewsRx editors, research stated, “Following a seismicevent, tsunami early warning systems (TEWSs) try to provide precise forecasts of the maximum he ight ofincoming waves at designated target points along the coast. This informa tion is crucial to trigger earlywarnings in areas where the impact of tsunami w aves is predicted to be dangerous (or potentially causedestruction), to help th e management of the potential impact of a tsunami as well as reduce environmental destruction and losses of human lives.”

    New Machine Learning Findings from Shanghai Jiao Tong University Described (Path ways Linking Expectations for Ai Chatbots To Loyalty: a Moderated Mediation Anal ysis)

    25-25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 Learning. According to news reportingout of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Despite the prevalenceof genera tive AI chatbots such as GPT and Bard, scholarly inquiry into how users’ endurin g expectationsinfluence their engagement with AI chatbots remains scant. Drawin g on expectation violation theory, thepresent study examines how user expectati ons, informed by belief in machine heuristics and concerns overhuman uniqueness , impact chatbot loyalty through a moderated mediation framework.”

    Studies from Chinese Academy of Sciences in the Area of Machine Learning Describ ed (Machine Learning-based Determination of Mode Ii Translaminar Fracture Toughn ess of Composite Laminates From Simple V-notched Shear Tests)

    26-26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 from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated, “Thispaper present s a novel method for measuring the translaminar crack resistance curve of compos itelaminates under Mode II shear loading. A machine learning (ML)-based approac h is utilized to extract theinapparent information of the crack resistance curv e from the translaminar shear strength measurementsobtained from simple V-notch ed shear tests.”

    Researchers at Ocean University of China Have Reported New Data on Machine Learn ing (Predicting the Temporal-spatial Distribution of Chlorophyll-a In the Yellow River Estuary Using Explainable Machine Learning)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originatingfrom Qingdao, People’s Republic of Chi na, by NewsRx correspondents, research stated, “The water qualityin estuaries i s influenced by both physical and biochemical processes, making it difficult to identify andquantify the main controlling factors of chlorophyll -a (Chl-a) con centration. This study introduces aninterpretable machine learning approach to identify and quantify the dominant control factors determiningChl-a concentrati on in the Yellow River Estuary (YRE).”

    South China Agricultural University Researcher Reports Research in Robotics (Dev elopment, Integration, and Field Experiment Optimization of an Autonomous Banana -Picking Robot)

    28-28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 newsreporting out of Guangzhou, People’s Re public of China, by NewsRx editors, research stated, “The highgrowth height and substantial weight of bananas present challenges for robots to harvest autonomo usly.”

    Institute of Robotics and Mechatronics Reports Findings in Androids (Intrinsic s ense of touch for intuitive physical human-robot interaction)

    29-29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 - Androids is the subject of a report. According to newsreporting originating from Wessling, Germany, by NewsRx correspondents, research stated, “The sense oftouch is a pr operty that allows humans to interact delicately with their physical environment . This articlereports on a technological advancement in intuitive human-robot i nteraction that enables an intrinsicrobotic sense of touch without the use of a rtificial skin or tactile instrumentation.”