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    Researcher from University of Brasilia Details New Studies and Findings in the A rea of Machine Learning (A comparison between geomembrane-sand tests and machine learning predictions)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on artificial intelligence is now ava ilable. According to news reporting from Brasilia, Brazil, by NewsRx journalists , research stated, “The interaction between soils and geosynthetics plays an imp ortant role in the applications of these materials for reinforcement in geotechn ical engineering.” The news correspondents obtained a quote from the research from University of Br asilia: “The complexities of soil-geosynthetic interactions vary depending on th e type and properties of both the geosynthetic and the soil. This paper introduc es a machine learning approach, specifically a random forest algorithm, for pred icting interface friction angles. The dataset comprises 495 interfaces involving geomembranes and sand, with fourteen influencing parameters recorded for each i nterface, influencing the shear strength outcome. In the analysis, Pearson’s cor relation coefficient is employed to measure the linear interdependence between e ach pair of input-input and input-output variables. Following the linear regress ion analysis, an optimized random forest is utilized to project the interface fr iction angle. The random forest algorithm divides the selected data into trainin g and testing sets, and only 3% of the training set and 6% of the testing set exceed ±5° from the actual records.”

    Recent Findings in Machine Learning Described by Researchers from Kitami Institu te of Technology (Exhaustive Study into Machine Learning and Deep Learning Metho ds for Multilingual Cyberbullying Detection in Bangla and Chittagonian Texts)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Hokkaido, Ja pan, by NewsRx correspondents, research stated, “Cyberbullying is a serious prob lem in online communication. It is important to find effective ways to detect cy berbullying content to make online environments safer.”

    Polytechnic University Torino Researchers Focus on Robotics (Digital twin- and e xtended reality-based telepresence for collaborative robot programming in the 6G perspective)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting from Turin, Italy, by NewsRx journalists, re search stated, “In the context of Industry 4.0, a paradigm shift from traditiona l industrial manipulators to Collaborative Robots (CRs) is ongoing, with the lat ter serving ever more closely humans as auxiliary tools in many production proce sses.” Financial supporters for this research include European Commission; H2020.

    Recent Findings from Cyprus University of Technology Highlight Research in Machi ne Learning [A Machine-Learning-Assisted Classification Algor ithm for the Detection of Archaeological Proxies (Cropmarks) Based on Reflectanc e Signatures]

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on artificial intelligence is now ava ilable. According to news originating from Limassol, Cyprus, by NewsRx correspon dents, research stated, “The detection of subsurface archaeological remains usin g a range of remote sensing methods poses several challenges. Recent studies reg arding the detection of archaeological proxies like those of cropmarks highlight the complexity of the phenomenon.” Funders for this research include European Union’s Horizon Europe Framework Prog ramme; Ukri Under Project.

    Researchers from University of Groningen Detail Findings in Robotics (Simultaneo us Multi-view Object Recognition and Grasping In Open-ended Domains)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting out of Groningen, Netherlands, by NewsRx ed itors, research stated, “To aid humans in everyday tasks, robots need to know wh ich objects exist in the scene, where they are, and how to grasp and manipulate them in different situations. Therefore, object recognition and grasping are two key functionalities for autonomous robots.” Financial support for this research came from Center for Information Technology of the University of Groningen.

    Data on Heart Disease Reported by Denis V. Gavrilov and Colleagues (Development, evaluation and validation of machine learning models to predict hospitalization s of patients with coronary artery disease within the next 12 months)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Heart Disorders and Di seases - Heart Disease is the subject of a report. According to news reporting f rom Petrozavodsk, Russia, by NewsRx journalists, research stated, “Improved surv ival of patients after acute coronary syndromes, population growth, and overall life expectancy rise have led to a significant increase in the proportion of pat ients with stable coronary artery disease (CAD), creating a significant load on the entire healthcare system. The disease often progresses with the development of many complications while significantly increasing the likelihood of hospitali zation.”

    Studies from Shanghai University Describe New Findings in Machine Learning (Non- Destructive Assessment of Stone Heritage Weathering Types Based on Machine Learn ing Method Using Hyperspectral Data)

    7-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Shanghai, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Stone cult ural heritage is exposed to various environments, resulting in a diverse range o f weathering types.”

    Investigators at University of Padua Report Findings in Robotics (Preference-bas ed People-aware Navigation for Telepresence Robots)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Padua, Italy, by NewsRx editor s, research stated, “This work proposes an innovative people-aware navigation fo r telepresence robots in a populated environment based on the estimated inclinat ion of people to interact and the context information.” Financial supporters for this research include Ministry of Education, Universiti es and Research (MIUR), Ministry of Education, Universities and Research (MIUR).

    Studies Conducted at Washington State University on Machine Learning Recently Re ported (Adversarial Transferability In Embedded Sensor Systems: an Activity Reco gnition Perspective)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Pullman, Was hington, by NewsRx correspondents, research stated, “Machine learning algorithms are increasingly used for inference and decision-making in embedded systems. Da ta from sensors are used to train machine learning models for various smart func tions of embedded and cyberphysical systems ranging from applications in health care, autonomous vehicles, and national security.” Financial support for this research came from National Science Foundation (NSF).

    State Key Laboratory of Fine Chemicals Researchers Discuss Findings in Machine L earning (Magnetic-optical dual functional Janus particles for the detection of m etal ions assisted by machine learning)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from the State Key Laboratory of Fine Chemicals by NewsRx correspondents, research stated, “Functional polymer m icrospheres have broad application prospects in various fields, such as metal io n detection, adsorption, separation, and controlled drug release. However, integ rating different functions in a single microsphere system is a significant chall enge in this field.”