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    Shandong University Reports Findings in Artificial Intelligence (Precise managem ent and control around the landfill integrating artificial intelligence and grou ndwater pollution risks)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; New research on Artificial Intelligence is the su bject of a report. According to news reportingoriginating in Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “The Landfillplays a n important role in urban development and waste disposal. However, landfill leac hate may alsobring more serious pollution and health risks to the surrounding g roundwater environment.”The news reporters obtained a quote from the research from Shandong University, “Compared withother areas, the area around the landfill needs more precise mana gement. To solve this problem, basedon the ‘pressure-state-response’ framework, a method for the identification and evaluation of groundwaterpollution around the landfill was constructed. The LPI method was used to assess the contaminatio npotential of the leachate. The comprehensive quality of groundwater was evalua ted by the entropy-AHP water quality assessment method, sodium adsorption ratio and sodium percentage. The probabilistichealth risks of groundwater were assess ed based on a Monte Carlo algorithm. The sources of pollutantswere identified b y comprehensively using the PCA-APCS-MLR model and the PMF model. Finally, thes elf-organizing map algorithm and the Kmeans algorithm were integrated to enhance the precision ofgroundwater management and control measures. The results showe d that the leachate of the landfillwas in the mature stage, and the concentrati on of inorganic substances was relatively high. Leachatehad the potential to co ntaminate surrounding groundwater. The groundwater quality of 68.14% of thestudy area was in the poor or lower level. The groundwater near the landf ill was unsuitable not onlyfor drinking but also for irrigation purposes. Cl wa s the main non-carcinogenic risk factor. Reducingpollutant concentration and co ntrolling exposure time are effective strategies for mitigating health riskscau sed by high-concentration pollutants (Cl, NO) and low-concentration pollutants ( F), respectively. Thegroundwater around the landfill was jointly affected by si x pollution sources. The PMF model has betteranalytical ability in mixed pollut ion areas.”

    University of Toronto Researchers Discuss Research in Machine Learning (Evasive attacks against autoencoder-based cyberattack detection systems in power systems )

    30-30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 newsoriginating from Toronto, Canad a, by NewsRx editors, the research stated, “The digital transformationprocess o f power systems towards smart grids is resulting in improved reliability, effici ency and situationalawareness at the expense of increased cybersecurity vulnera bilities.”Funders for this research include Fqrnt; Nserc.

    University Hospital Rennes Reports Findings in Machine Learning (Applying Machin e Learning for Prescriptive Support: A Use Case with Unfractionated Heparin in Intensive Care Units)

    31-31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 newsoriginating from Rennes, France, by New sRx correspondents, research stated, “Continuous unfractionatedheparin is widel y used in intensive care, yet its complex pharmacokinetic properties complicate the determinationof appropriate doses. To address this challenge, we developed machine learning models to predictover- and under-dosing, based on anti-Xa resu lts, using a monocentric retrospective dataset.”

    New Machine Learning Study Results Reported from Chinese Academy of Sciences (Geoclimatic Distribution of Satellite-Observed Salinity Bias Classified by Machine Learning Approach)

    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 ar tificial intelligence. According to news reportingout of Guangzhou, People’s Re public of China, by NewsRx editors, research stated, “Sea surface salinity(SSS) observed by satellite has been widely used since the successful launch of the f irst salinity satellitein 2009. However, compared with other oceanographic sate llite products (e.g., sea surface temperature,SST) that became operational in t he 1980s, the SSS product is less mature and lacks effective validationfrom the user end.”

    ITMO University Details Findings in Photocatalytics (Optimization of G-c3n4 Synt hesis Parameters Based On Machine Learning To Predict the Efficiency of Photocat alytic Hydrogen Production)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Investigators publish new report on Nanotechnolog y - Photocatalytics. According to news reportingout of St. Petersburg, Russia, by NewsRx editors, research stated, “This study demonstrated a machinelearning approach to predict the photocatalytic properties of graphitic carbon nitride (g -C3N4) 3 N 4 )depending on its synthesis parameters to enhance photocatalytic h ydrogen production. In connection withthe task, a database was experimentally f ormed to prepare g-C3N4 3 N 4 samples by heat treatment ofnitrogen-containing p recursors in air at a temperature of 450-600 degrees C with varying time and heating rates of the synthesis.”

    Studies Conducted at University of Tokyo on Machine Learning Recently Published (Democratizing Microreactor Technology for Accelerated Discoveries in Chemistry and Materials Research)

    33-34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 to newsoriginating from Kawasaki, J apan, by NewsRx correspondents, research stated, “Microreactor technologieshave emerged as versatile platforms with the potential to revolutionize chemistry an d materials research,offering sustainable solutions to global challenges in env ironmental and health domains.”Our news correspondents obtained a quote from the research from University of To kyo: “This surveypaper provides an in-depth review of recent advancements in mi croreactor technologies, focusing ontheir role in facilitating accelerated disc overies in chemistry and materials. Specifically, we examinethe convergence of microfluidics with machine intelligence and automation, enabling the exploitatio nof the cyber-physical environment as a highly integrated experimentation platf orm for rapid scientificdiscovery and process development. We investigate the a pplicability and limitations of microreactorenableddiscovery accelerators in v arious chemistry and materials contexts. Despite their tremendouspotential, the integration of machine intelligence and automation into microreactor-based expe rimentspresents challenges in establishing fully integrated, automated, and int elligent systems. These challengescan hinder the broader adoption of microreact or technologies within the research community.”

    Data from Nanjing University Broaden Understanding of Machine Learning (Does inv estor communication improve corporate social responsibility? A machine learning- based textual analysis)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Research findings on artificial intell igence are discussed in a new report. According tonews reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “In thisstu dy, we take a machine learning-based approach to measure institutional investor attention to corporatesocial responsibility (CSR) issues when communicating wit h firms during site visits.”Financial supporters for this research include Major Program of National Fund of Philosophy And SocialScience of China; National Office For Philosophy And Soci al Sciences.

    Study Findings on Robotics Are Outlined in Reports from Xi’an University of Scie nce and Technology (Key Technology of Temporary Support Robot for Rapid Excavati on of Coal Mine Roadway)

    35-36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 Robotics is now availab le. According to news reporting out of Shaanxi,People’s Republic of China, by N ewsRx editors, research stated, “The coal industry has long been troubledby the imbalance between mining and tunneling, and between excavating and support. The main cause ofthis problem is the inability to perform excavating and permanent support operations in parallel.”Funders for this research include National Key Research & Developm ent Program of China, NationalNatural Science Foundation of China (NSFC), Key R esearch and Development Projects of ShaanxiProvince, Shaanxi Science and Techno logy Association.

    New Support Vector Machines Study Findings Reported from Indian Institute of Tec hnology Roorkee (Intuitionistic Fuzzy Least Square Twin Support Vector Machines for Pattern Classification)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; New research on Support Vector Machines is the su bject of a report. According to news reportingoriginating from Uttar Pradesh, I ndia, by NewsRx correspondents, research stated, “Twin support vectormachine (T SVM) is an effective machine learning tool for classification problems. However, TSVMclassifier works on empirical risk principle only and also while training, each sample contributes equally,even if it is a noise or an outlier.”Financial support for this research came from Ministry of Higher Education & Scientific Research(MHESR).

    Data on Machine Learning Published by Researchers at University of Tunku Abdul R ahman (An unsupervised machine learning approach for estimating missing daily ra infall data in peninsular malaysia)

    37-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Data detailed on artificial intelligen ce have been presented. According to newsreporting originating from the Univers ity of Tunku Abdul Rahman by NewsRx correspondents, researchstated, “Rainfall d ata plays a vital role in various fields including agriculture, hydrology, clima tology, andwater resource management. Stakeholders had raised concerns over the issue of missing rainfall data as itpresents a huge obstacle in achieving reli able climate forecasts.”