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

    Investigators from South China University of Technology Zero in on Robotics (Graphic-enhanced Collision Detection for Robotic Manufacturing Applications In Complex Environments)

    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 reportingoriginating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated,“High-performance collision detection is the key to achieving automatic trajectory planning and securemotion control for industrial robots. However, most existing solutions reported thus far are difficult toguarantee computational accuracy and efficiency simultaneously when it comes to complex manufacturingenvironments.”

    Researchers from Hult International Business School Detail Research in Artificial Intelligence (Revisiting the role of HR in the age of AI: bringing humans and machines closer together in the workplace)

    31-32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 artificial intelligence. According to news reportingfrom Dubai, United Arab Emirates, by NewsRx journalists, research stated, “The functions of humanresource management (HRM) have changed radically in the past 20 years due to market and technologicalforces, becoming more cross-functional and data-driven.”

    China Medical University Reports Findings in Machine Learning (Research Progress of Metabolomics Techniques Combined with Machine Learning Algorithm in Wound Age Estimation)

    31-31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 of a report. According to news reporting out ofShenyang, People’s Republic of China, by NewsRx editors, research stated, “Wound age estimation is thecore content in the practice of forensic medicine. Accurate estimation of wound age is a scientific questionthat needs to be urgently solved by forensic scientists at home and abroad.”

    Dalian Medical University Reports Findings in Artificial Intelligence (Application of artificial intelligence in gastrointestinal endoscopy)

    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 Artificial Intelligence is the subject of a report. According to newsreporting from Dalian, People’s Republic of China, by NewsRx journalists, research stated, “Endoscopy isan important method for diagnosing gastrointestinal (GI) diseases. In this study, we provide an overviewof the advances in artificial intelligence (AI) technology in the field of GI endoscopy over recent years,including esophagus, stomach, large intestine, and capsule endoscopy (small intestine).”

    University of Szeged Researchers Have Provided New Data on Machine Learning (Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting)

    33-34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 intelligence have been published. According to newsreporting from Szeged, Hungary, by NewsRx journalists, research stated, “Crop yield forecasting is criticalin modern agriculture to ensure food security, economic stability, and effective resource management.”Our news reporters obtained a quote from the research from University of Szeged: “The main goal of thisstudy was to combine historical multisource satellite and environmental datasets with a deep learning (DL)model for soybean yield forecasting in the United States’ Corn Belt. The following Moderate ResolutionImaging Spectroradiometer (MODIS) products were aggregated at the county level. The crop data layer(CDL) in Google Earth Engine (GEE) was used to mask the data so that only soybean pixels were selected.Several machine learning (ML) models were trained by using 5 years of data from 2012 to 2016: randomforest (RF), least absolute shrinkable and selection operator (LASSO) regression, extreme gradient boosting(XGBoost), and decision tree regression (DTR) as well as DL-based one-dimensional convolutional neuralnetwork (1D-CNN). The best model was determined by comparing their performances at forecasting thesoybean yield in 2017-2021 at the county scale. The RF model outperformed all other ML models with thelowest RMSE of 0.342 t/ha, followed by XGBoost (0.373 t/ha), DTR (0.437 t/ha), and LASSO (0.452t/ha) regression.”

    Data on Machine Learning Discussed by a Researcher at North China Electric Power University (DDoS attack detection in smart grid network using reconstructive machine learning models)

    34-34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 to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Network attackspose a significant challenge for smart grid networks, mainly due to the existence of several multi-directionalcommunication devices coupling consumers to the grid. One of the network attacks that can affect thesmart grid is the distributed denial of service (DDoS), where numerous compromised communication devices/nodes of the grid flood the smart grid network with false data and requests, leading to disruptionsin smart meters, data servers, and the state estimator, ultimately effecting the services for end-users.”

    Reports Summarize Machine Learning Research from Information Management Systems Institute (Assessing Impact Factors That Affect School Mobility Utilizing a Machine Learning Approach)

    35-35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 intelligence have been published. According to newsreporting originating from the Information Management Systems Institute by NewsRx correspondents,research stated, “The analysis and modeling of parameters influencing parents’ decisions regarding schooltravel mode choice have perennially been a subject of interest.”

    Findings from Monash University Yields New Findings on Computational Intelligence (Multi-agent Task Assignment In Vehicular Edge Computing: a Regret-matching Learning-based Approach)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning - Computational Intelligence are presented in a new report. Accordingto news reporting originating from Clayton, Australia, by NewsRx correspondents, research stated,“Vehicular edge computing has emerged as a solution for enabling computation-intensive applications withinIntelligent Transportation Systems (ITS), encompassing domains like autonomous driving and augmentedreality. Despite notable progress in this domain, the efficient allocation of constrained computationalresources to a spectrum of time-critical ITS tasks remains a substantial challenge.”

    Researchers at Electronics and Telecommunications Research Institute Zero in on Machine Learning (Developing an advanced prediction model for new employee turnover intention utilizing machine learning techniques)

    37-37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 intelligence is the subject of a new report. According to newsoriginating from the Electronics and Telecommunications Research Institute by NewsRx correspondents,research stated, “In recent years, the turnover phenomenon of new college graduates has been intensifying.The turnover of new employees creates many difficulties for businesses as it is difficult to recover the costsspent on their hiring and training.”

    Study Results from Nanjing University of Aeronautics and Astronautics Broaden Understanding of Robotics (An Analytical Approach Based On Dixon Resultant for the Inverse Kinematics of 6r Robot Manipulators With Offset Wrists)

    38-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Robotics have been published. According to news reporting originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “6-revolute (6R)robot manipulators with offset wrists are widely applied in industrial scenarios. However, the autonomousand highly-precise manipulations of these robots are restricted for online industrial uses due to the lack ofeffective inverse kinematic methods.”