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 Robotics Findings from Zhengzhou University Outlined (Human or Ai Robot? Who Is Fairer On the Service Organizational Frontline)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting out of Zhengzhou,People’s Republic of China, by NewsRx editors, research stated, “Research has focused on exploring thedistinct ion between human employees and AI robots. However, little is known about custom er perceptionsof service fairness towards AI robots (vs. human employees).”

    Research from University of Thessaly Provide New Insights into Machine Learning (Factors Influencing Endangered Marine Species in the Mediterranean Sea: An Anal ysis Based on IUCN Red List Criteria Using Statistical and Soft Computing …)

    105-106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 from Volos, Greece , by NewsRx journalists, research stated, “The Mediterranean Sea isthe second l argest biodiversity hotspot on earth, with over 700 identified fish species is f acing numerousthreats.”

    Research Conducted at Northeastern University Has Updated Our Knowledge about Ro botics (Cooperative Output Regulation of Mass With a Novel Parameter Convergence Condition and Prescribed-time Event-triggered Observers and Its Application To …)

    106-107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 fromShenyang, People’s Republic of Chin a, by NewsRx correspondents, research stated, “An enhanced controlscheme for mu ltiagent cooperative output regulation (COR) is presented in this paper. The pro posedscheme incorporates prescribed-time observers and controllers with concurr ent learning adaptive laws.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Fundamental Research Funds for the Central Universities in C hina, Research Fund of State Key Laboratoryof Synthetical Automation for Proces s Industries in China.

    New Artificial Intelligence Study Findings Recently Were Reported by a Researche r at Hellenic Open University (Explainable Artificial Intelligence-Based Decisio n Support Systems: A Recent Review)

    107-108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 Patra, Greece, by NewsRx editors, research stated, “This survey article provides acomprehensi ve overview of the evolving landscape of Explainable Artificial Intelligence (XA I) in Decision Support Systems (DSSs).”

    New Machine Learning Study Findings Have Been Reported from University of Waterl oo (Interpretable Machine Learning Model On Thermal Conductivity Using Publicly Available Datasets and Our Internal Lab Dataset)

    108-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Waterloo, Can ada, by NewsRx journalists, research stated, “Machine learning(ML), a subdiscip line of artificial intelligence studies, has gained importance in predicting or suggestingefficient thermoelectric materials. Previous ML studies have used dif ferent literature sources or densityfunctional theory calculations as input.”

    Researcher at Tianjin University of Finance and Economics Has Published New Data on Computational Intelligence (Impact of Financial Distress on the Capital Expe nditure of Local Enterprises)

    109-110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 co mputational intelligence. According to newsreporting from Tianjin, People’s Rep ublic of China, by NewsRx journalists, research stated, “This studydefines fina ncially distressed enterprises based on stock delisting risk warnings and uses t he annual data ofA-share listed companies on the Shanghai and Shenzhen stock ex changes from 2008 to 2021 to examinethe impact and mechanism of financial distr ess on the capital expenditures of non-distressed enterprisesin the same city.”

    Findings in Artificial Intelligence Reported from Tsinghua University(What Does the Public Think About Artificial Intelligence? An Investigation of Technologic al Frames In Different Technological Context)

    110-111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 Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Publicpart icipation is crucial for the governance of artificial intelligence (AI). However , the public is typicallyportrayed as a passive recipient in practice, and litt le is known about their expectations, assumptions andknowledge about AI.”

    Zhejiang Hospital Reports Findings in Machine Learning (Machine Learning-Aided D ecision-Making Model for the Discontinuation of Continuous Renal Replacement The rapy)

    111-112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 Hangzhou, People’s Repub lic of China, by NewsRx journalists, research stated, “Continuousrenal replacem ent therapy (CRRT) is a primary form of renal support for patients with acute ki dney injuryin an intensive care unit. Making an accurate decision of discontinu ation is crucial for the prognosis ofpatients.”

    New Findings Reported from University of California Berkeley DescribeAdvances I n Machine Learning (Streamflow Prediction At the Intersection of Physics and Mac hine Learning: a Case Study of Two Mediterranean-climate Watersheds)

    112-113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 Berkeley, Ca lifornia, by NewsRx correspondents, research stated, “Accuratestreamflow predic tions are essential for water resources management. Recent studies have examined theuse of hybrid models that integrate machine learning models with process-ba sed (PB) hydrologic modelsto improve streamflow predictions.”

    Centre de Recherche Reports Findings in Machine Learning (Groundwater salinity m odeling and mapping using machine learning approaches: a case study in Sidi Okba region, Algeria)

    113-114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 Biskra, Algeri a, by NewsRx journalists, research stated, “The groundwater salinizationprocess complexity and the lack of data on its controlling factors are the main challen ges foraccurate predictions and mapping of aquifer salinity. For this purpose, effective machine learning (ML)methodologies are employed for effective modelin g and mapping of groundwater salinity (GWS) in theMio-Pliocene aquifer in the S idi Okba region, Algeria, based on limited dataset of electrical conductivity(E C) measurements and readily available digital elevation model (DEM) derivatives. ”