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

    Researcher from University of Tabuk Details Findings in Artificial Intelligence (Blockchain for secure and decentralized artificial intelligence in cybersecurit y: A comprehensive review)

    11-11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 artificial intelligence. According to news reportingfrom Tabuk, Saudi Arabia, b y NewsRx journalists, research stated, “As the use of artificial intelligence (AI) grows within the field of cybersecurity, so does the demand for secure and de centralized AI systems toprotect against potential cyber threats.”

    New Findings in Robotics and Automation Described from Tongji University (A Game Theoretic Method for Two-team Multi-player Autonomous Racing)

    12-12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 Ro botics - Robotics and Automation. Accordingto news reporting originating from S hanghai, People’s Republic of China, by NewsRx correspondents,research stated, “This letter explores an autonomous driving competition between two teams, where thenumber of members in one team is greater than or equal to the other team’s, but their maximum speed islower. The letter proposes a hierarchical decision-m aking approach to address how the slower team cancompete against their opponent s through collaboration.”

    Computer Science Department Reports Findings in COVID-19 (Enhancing COVID-19 for ecasting precision through the integration of compartmental models, machine lear ning and variants)

    13-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According tonews reporting out of Turin, Italy, by NewsRx editors, research stated, “Predicting epidemic evolution isessential fo r making informed decisions and guiding the implementation of necessary counterm easures.Computational models are vital tools that provide insights into illness progression and enable early detection,proactive intervention, and targeted pr eventive measures.”

    New Robotics and Automation Study Findings Have Been Reported by Investigators a t Technical University Munich (TU Munich) (Tscl: Timestamp Supervised Contrastiv e Learning for Action Segmentation)

    13-14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 - Robotics and Automation. According to news reporting originating in Munich, Germany, by NewsRx journalists, research stated, “Temporal actionsegmentation I s an essential task for understandingcomplex human activity sequences and identi fyinglong-term dependencies between human actions. This is essential for effect ive non-verbal human-robotcollaboration and robotic assistance to understand th e underlying human intentions.”

    Data on Machine Learning Detailed by Researchers at University of Rijeka (Estima ting Water Levels and Discharges In Tidal Rivers and Estuaries: Review of Machin e Learning Approaches)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Rijeka, Croati a, by NewsRx correspondents, research stated, “Understanding the dynamics of tid al rivers and estuaries is critical for reliable water management. Recently, the use ofMachine Learning (ML) has increased in favor of hydrologic and hydraulic models.”Funders for this research include European Union (EU), Croatian Science Foundati on, University ofRijeka.

    Recent Research from Heinrich-Heine-University Dusseldorf Highlight Findings in Robotics (The Impact of Robots On Labour Market Transitions In Europe)

    15-16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 originating in Essen, Germany , by NewsRx journalists, research stated, “We study the effects ofrobot exposur e on worker flows in 16 European countries between 2000 and 2017. Overall, we fi nd smallnegative effects on job separations and no effects on job findings.”

    La Trobe University Reports Findings in Machine Learning (A novel framework for crash frequency prediction: Geographic support vector regression based on agent- based activity models in Greater Melbourne)

    16-17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 Bundoora, Au stralia, by NewsRx correspondents, research stated, “The fieldof spatial analys is in traffic crash studies can often enhance predictive performance by addressi ng theinherent spatial dependence and heterogeneity in crash data. This researc h introduces the GeographicalSupport Vector Regression (GSVR) framework, which incorporates generated distance matrices, to assessspatial variations and evalu ate the influence of a wide range of factors, including traffic, infrastructure,socio-demographic, travel demand, and land use, on the incidence of total and f atal-or-serious injury (FSI)crashes across Greater Melbourne’s zones.”

    Study Findings on Machine Learning Are Outlined in Reports from Hebei University of Technology (Deciphering the Compositionmicrostructure Correlation In Low-de nsity Femnalc Steels With Machine Learning)

    17-18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 Tianjin, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“FeMnAlC ste els have been regarded as prospective candidates for the advanced high-strength steel withreduced density. However, the correlation between the complex steel c omposition and the resultingmicrostructure remains unclear.”

    Reports from Jiangsu University Add New Data to Findings in Machine Learning (St udy On Mechanical Properties of Zno/si Interface Under Thermal Shock)

    18-19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 Machine Learning. According to news reporting originatingfrom Zhenjiang, People’s Repu blic of China, by NewsRx correspondents, research stated, “Influenceof thermal shock on ZnO/Si interfacial mechanical properties was studied through experiment s, moleculardynamics simulations and machine learning prediction. ZnO films wer e deposited onto silicon wafers byradio frequency magnetron sputtering and then suffered different times of thermal shock.”

    Investigators at University of Andres Bello Report Findings in Machine Learning (Accurate & Simple Open-sourced No-code Machine Learning and Cdft Predictive Models for the Antioxidant Activity of Phenols)

    19-20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 Santiago, Chile, by NewsRx correspondents, research stated, “Phenolic compounds (PC)are important antioxidant biomolecules for medicine and foods industries. The DDPH test is use d fortesting antioxidant capacity.”