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    Research Findings from Korea Institute of Civil Engineering and Building Technol ogy Update Understanding of Machine Learning (Feasibility of Advanced Reflective Cracking Prediction and Detection for Pavement Management Systems Using Machine ...)

    78-79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 reporting originating from the Korea Institu te of Civil Engineering and Building Technology by NewsRx correspondents, resear ch stated, “This research manuscript presents a comprehensive investigation into the prediction and detection of reflective cracking in pavement infrastructure through a combination of machine learning approaches and advanced image detectio n techniques.”

    University of Aizu Researcher Releases New Data on Machine Learning (Prediction of Students' Adaptability Using Explainable AI in Educational Machine Learning M odels)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting out of Fukushima, Ja pan, by NewsRx editors, research stated, “As the educational landscape evolves, understanding and fostering student adaptability has become increasingly critica l. This study presents a comparative analysis of XAI techniques to interpret mac hine learning models aimed at classifying student adaptability levels.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Xid ian University (Machine-learning-based Source Number Estimation Under Unknown Sp atially Correlated Noise)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “The existing model-d riven methods for source number estimation (SNE) under spatially correlated nois e are limited by the inherent shortcomings of model assumptions and subjective p arameter settings, and have high requirements for signal-to-noise ratio (SNR) an d sample size. Although machine learning (ML) has begun to emerge in SNE due to its powerful learning ability, existing ML-based methods mainly focus on Gaussia n white noise, and there are a few works on spatially correlated noise.”

    Study Results from Harbin Institute of Technology in the Area of Machine Learnin g Reported (Phonon and Thermal Properties of Silicon Carbide: a Comparison of Em pirical and Machine Learning Potentials)

    81-82页
    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 from Harbin, People’s Republi c of China, by NewsRx journalists, research stated, “Silicon carbide (SiC), as a third-generation semiconductor material, has attracted significant research att ention. Various empirical potentials and machine learning potentials have been d eveloped, but there are few comparative studies on phonon and thermal properties .” Funders for this research include China Scholarship Council, Agency for Science Technology & Research (A*STAR).

    Eskisehir Osmangazi University Reports Findings in Artificial Intelligence (Eval uation of future nurses' knowledge, attitudes and anxiety levels about artificia l intelligence applications)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from Eskisehir, Turk ey, by NewsRx correspondents, research stated, “Evaluating future nurses’ perspe ctives on artificial intelligence, determining their missing or incorrect inform ation on the subject and determining their anxiety levels are of great importanc e in terms of providing science and technology-based health services in the futu re. This research was conducted to evaluate the knowledge, attitude and anxiety levels of future nurses about artificial intelligence applications.”

    Report Summarizes Machine Learning Study Findings from University of Prešov (The Application of Machine Learning in Diagnosing the Financial Health and Performa nce of Companies in the Construction Industry)

    83-84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 reporting out of the University of Prešv by NewsRx editors, research stated, “Diagnosing the financial health of companies and their performance is currently one of the basic questions that attracts the attention of researchers and experts in the field of finance and management.” Funders for this research include Grant Agency of The Ministry of Education, Sci ence, Research And Sport of The Slovak Republic And The Slovak Academy of Scienc es.

    New Findings from University of New South Wales Describe Advances in Machine Lea rning (Interpretable Machine Learning Approach for Exploring Process-structure-p roperty Relationships In Metal Additive Manufacturing)

    84-85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 Ma chine Learning. According to news reporting originating in Sydney, Australia, by NewsRx journalists, research stated, “Process -structure -property (PSP) relati onships are critical to the optimization of manufacturing processes, but establi shing these relationships typically involves time- and cost- consuming experimen ts, especially for additive manufacturing (AM) due to the large number of proces s parameters involved. In this study, we develop a novel and interpretable machi ne learning approach for predicting, optimizing, and expanding the process windo w of laser powder bed fusion (LPBF) while simultaneously establishing PSP relati onships, using AlSi10Mg as an example.”

    Wenzhou Medical University Reports Findings in Artificial Intelligence (Comparin g the accuracy of intraocular lens power calculation formulas using artificial i ntelligence and traditional formulas in highly myopic patients: a meta-analysis)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Zhejian g, People’s Republic of China, by NewsRx journalists, research stated, “The accu racy of intraocular lens (IOL) calculations is one of the key indicators for det ermining the success of cataract surgery. However, in highly myopic patients, th e calculation errors are relatively larger than those in general patients.”

    East China Normal University Reports Findings in Machine Learning (Machine Learn ing-Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Ca pacitive Deionization)

    86-87页
    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 out of Shanghai, People’s Rep ublic of China, by NewsRx editors, research stated, “Nowadays, capacitive deioni zation (CDI) has emerged as a prominent technology in the desalination field, ty pically utilizing porous carbons as electrodes. However, the precise significanc e of electrode properties and operational conditions in shaping desalination per formance remains blurry, necessitating numerous timeconsuming and resource-inte nsive CDI experiments.” Financial supporters for this research include National Natural Science Foundati on of China, Natural Science Foundation of Shandong Province.

    Beijing Hospital Reports Findings in Glioblastomas (Characterizing the relations hip between MRI radiomics and AHR expression and deriving a predictive model for prognostic assessment in glioblastoma)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Glioblastom as is the subject of a report. According to news reporting from Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “Aryl hydrocarbon r eceptor (AHR), a crucial molecular marker associated with glioma, is a potential therapeutic target. We aimed to establish a non-invasive predictive model for A HR through radiomics.”