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    Studies Conducted at Kookmin University on Machine Learning Recently Published ( Integrating Streetscape Images, Machine Learning, and Space Syntax to Enhance Wa lkability: A Case Study of Seongbuk District, Seoul)

    67-67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 Seoul, South Kore a, by NewsRx correspondents, research stated, “As urbanization rapidlyprogresse s, streets have transitioned from mere transportation corridors to crucial space s for daily life andsocial interaction.”

    Jagiellonian University Reports Findings in Artificial Intelligence (Effect of a rtificial intelligence implementation to the latest generation 4K colonoscopy)

    67-68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 to newsoriginating from Krakow, Poland, by NewsRx correspondents, research stated, “Indroduction: Colonoscopyis an acclaimed screening test to detect colorectal cancer (CRC). T he most important quality indicators for colonoscopy are adenoma detection rate (ADR), cecal intubation rate (CIR), withdrawal time (WT),and bowel preparation (Boston Bowel Preparation Scale; BBPS).”

    Ghent University Reports Findings in Machine Learning (TheOperando Nature of Is obutene Adsorbed in Zeolite H-SSZ-13 Unraveled by Machine Learning Potentials Be yond DFT Accuracy)

    69-70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 news reporting originating from Zwijnaarde, Belgium, by NewsRx correspondents, research stated, “Unravelingthe nature of ad sorbed olefins in zeolites is crucial to understand numerous zeolite-catalyzed p rocesses. Awell-grounded theoretical description critically depends on both an accurate determination of the potentialenergy surface (PES) and a reliable acco unt of entropic effects at operating conditions.”

    Recent Findings from State Key Laboratory of Rolling and Automation Highlight Re search in Machine Learning (Employing deep learning in non-parametric inverse vi sualization of elastic-plastic mechanisms in dual-phase steels)

    69-69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 originating from the Sta te Key Laboratory of Rolling and Automation by NewsRx correspondents,research s tated, “Enhancing the interpretability of machine learning methods for predictin g materialproperties is a key, yet complex topic in materials science.”

    Studies from Northeastern University Reveal New Findings onRobotics (Piecewise Approximation and Local Differential Compensation of Contact Stress Distribution of Workpiece Surface In Robotic Belt Grinding)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news reportingoriginating from Liaoning, People’s Republic of China, by NewsRx correspondents, research stated, “Variousgeneratio ns of scholars have proposed many material removal models for grinding processin g. However,the stress conditions of the free surface and regular surface are di fferent.”

    Researcher at School of Science Details Research in Machine Learning (Predicting Movie Box Office Based on Machine Learning, Deep Learning, and Statistical Meth ods)

    71-72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 reportingoriginating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated,“Abstract. ”

    New Machine Learning Study Results from University of JinanDescribed (Elevating Perovskite Efficiency Via Machine Learningassisted Screening of Passivators)

    72-73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 Machine Learning. According to news reportingoriginating from Guangzhou, People ’s Republic of China, by NewsRx correspondents, research stated,“The swift iden tification of effective passivation materials for MAPbI3-based perovskite solar cells (PSCs)remains a formidable challenge, we employ the power of machine lear ning to discern the complex correlationbetween the molecular characteristics of passivation materials and the power conversion efficiency (PCE)of PSCs. Our re sults show that molecular characteristics such as complexity, molecular weight, O atoms,and hydrogen bond receptors are associated with PCE in MAPbI3-based PSC s.”

    Researchers from Nanjing University Report Details of New Studies and Findings I n the Area of Machine Learning (Improved Snow Depth Retrieval Over Arctic Sea Ic e From Fy-3 Satellites Using Machine Learning and Its Future Scenario Projection )

    73-74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 Machine Learn ing have been published. According to newsreporting originating in Nanjing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Snowpack atop sea ice plays a vital role in the Arctic heat and energy balance by reducing the energytransfer between the atmosphere and the ocean. This study presents an im proved snow depth retrievalmodel over Arctic multiyear ice (MYI) from the Micro wave Radiometer Imager (MWRI) data of theFengyun-3 (FY-3) series satellites usi ng the optimal machine learning approach identified.”

    New Findings from University of Texas Austin in Machine LearningProvides New In sights (Exploring Spatial Heterogeneity of Escooter’s Relationship With Ridesou rcing Using Explainable Machine Learning)

    74-75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 Machine Learn ing have been published. According to newsreporting originating from Austin, Te xas, by NewsRx correspondents, research stated, “The expansionof e-scooter shar ing system has introduced several novel interactions within the existing transpo rtationsystem. However, few studies have explored how spatial contexts influenc e these interactions.”

    Researcher at University of Pisa Discusses Research in Artificial Intelligence ( Part-Prototype Models in Medical Imaging: Applications and Current Challenges)

    75-76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 reportingoriginating from Pisa, Ital y, by NewsRx correspondents, research stated, “Recent developments in ArtificialIntelligence have increasingly focused on explainability research.”