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    Nelson Mandela African Institution of Science and Technology Reports Findings in Malaria (Blood smear imagery dataset for malaria parasite detection: A case of Tanzania)

    95-96页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Mosquito-Borne Disease s - Malaria is the subject of a report.According to news reporting out of Arush a, Tanzania, by NewsRx editors, research stated, “Malaria is amajor public heal th issue in many regions of Africa, including Tanzania. The Tanzania Malaria Nat ionalStrategic Plan (2021-2025) emphasizes on high-quality testing services ava ilability, high coverage of timelydiagnosis of malaria, and availability of inn ovative diagnostic systems for effective detection, treatmentand control of mal aria.”

    Ferdowsi University of Mashhad Researcher Updates Knowledge of Machine Learning (Insight to groundwater level prediction with feature effectiveness: comparison of machine learning and numerical methods)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news originating fromMashhad, Iran, by NewsRx editors, the research stated, “ABSTRACT: This research aims to compare theaccuracy of n umerical model (NM) and machine learning (ML) methods for groundwater level pred iction(GWLP).”

    University of Saskatchewan Reports Findings in Cancer (Novel machine learning mo del for predicting cancer drugs’ susceptibilities and discovering novel treatmen ts)

    97-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news originatingfrom Saskatoon, Canada, by NewsRx cor respondents, research stated, “Timely treatment is crucial forcancer patients, so it’s important to administer the appropriate treatment as soon as possible. B ecauseindividuals can respond differently to a given drug due to their unique g enomic profiles, we aim to usetheir genomic information to predict how various drugs will affect them and determine the best course oftreatment.”

    Sun Yat-sen University Reports Findings in Artificial Intelligence (Whole slide image based prognosis prediction in rectal cancer using unsupervised artificial intelligence)

    98-99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 report. According tonews reporting from Guangdong, People ’s Republic of China, by NewsRx journalists, research stated,“Rectal cancer is a common cancer worldwide and lacks effective prognostic markers. The developmen tof prognostic markers by computational pathology methods has attracted increas ing attention.”

    New Machine Learning Study Results Reported from Faculty of Sciences and Technol ogy (Machine Learning Application for Wear Rate Prediction of Wc/co-based Cermet With Different Content of Ni, Cr, Tic, Tac, and Nbc)

    99-100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 originatingin Souk Ahras, Algeria, by Ne wsRx journalists, research stated, “Wear rate of WC/Co-based cermetmaterials un der severe tribological conditions is a critical thermomechanical property that can limit thepractical application of various tools and industrial machinery. I n this paper, three machine learning (ML)algorithms including Random Forest, Gr adient Boosting Regressor, and XGBoost are employed to predictthe wear rate of WC/Co-based cermets elaborated through powder metallurgy, utilizing dry friction undersevere pin-on-disk conditions at elevated temperatures.”

    University of Padua Reports Findings in Artificial Intelligence (NERVE 2.0: boos ting the new enhanced reverse vaccinology environment via artificial intelligenc e and a user-friendly web interface)

    100-101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 report. According tonews reporting originating from Padua , Italy, by NewsRx correspondents, research stated, “Vaccinesdevelopment in thi s millennium started by the milestone work on Neisseria meningitidis B, reporting theinvention of Reverse Vaccinology (RV), which allows to identif y vaccine candidates (VCs) by screeningbacterial pathogens genome or proteome t hrough computational analyses. When NERVE (New EnhancedRV Environment), the fir st RV software integrating tools to perform the selection of VCs, was released,it prompted further development in the field.”

    Recent Findings from University of Regensburg Highlight Research in Symmetric Cr yptology (Committing AE from Sponges)

    101-101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 sy mmetric cryptology. According to news reportingout of Regensburg, Germany, by N ewsRx editors, research stated, “Committing security has gainedconsiderable att ention in the field of authenticated encryption (AE).”

    Research from A’Sharqiyah University Reveals New Findings on Machine Learning (A n Intelligent SARIMAX-Based Machine Learning Framework for Long-Term Solar Irrad iance Forecasting at Muscat, Oman)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from A’Sharqiyah Unive rsity by NewsRx correspondents, research stated, “The intermittentnature of ren ewable energy sources (RES) restricts their widespread applications and reliabil ity. Nevertheless,with advancements in the field of artificial intelligence, we can predict the variations in parameterssuch as wind speed and solar irradianc e for the short, medium and long terms.”

    Studies from Pukyong National University Add New Findings in the Area of Machine Learning (A Comparative Analysis of Buckling Pressure Prediction in Composite C ylindrical Shells Under External Loads Using Machine Learning)

    103-103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 newsreporting originating from Busa n, South Korea, by NewsRx correspondents, research stated, “Compositematerials are increasingly utilized in engineering due to their superior properties such a s strength, flexibility,and corrosion resistance. However, accurately predictin g the buckling pressure of composite cylindricalshells under external loads rem ains challenging due to the complexities introduced by various stackingmethods. ”

    Findings from Zhejiang University Has Provided New Data on Robotics (A 2d-lidar- based Localization Method for Indoor Mobile Robots Using Correlative Scan Matchi ng)

    104-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Precisepose est imation is crucial to various robots. In this paper, we present a localization m ethod usingcorrelative scan matching (CSM) technique for indoor mobile robots e quipped with 2D-LiDAR to provideprecise and fast pose estimation based on the c ommon occupancy map.”