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    Researcher at University Indonesia Has Published New Study Findings on Artificia l Intelligence (The Role of Artificial Intelligence in Enhancing Global Internal Audit Efficiency: An Analysis)

    100-100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 originatingfrom the University Indones ia by NewsRx editors, the research stated, “This research paper explores thetra nsformative role of artificial intelligence (AI) in enhancing the efficiency and effectiveness of globalinternal audit functions.”

    Studies from Bursa Technical University Reveal New Findings on Robotics (Drivabl e path detection for a mobile robot with differential drive using a deep Learnin g based segmentation method for indoor navigation)

    101-102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 robotics have bee n published. According to news reportingoriginating from Bursa Technical Univer sity by NewsRx correspondents, research stated, “The integrationof artificial i ntelligence into the field of robotics enables robots to perform their tasks mor e meaningfully. In particular, deep-learning methods contribute significantly to robots becoming intelligent cybernetic systems.The effective use of deep-learn ing mobile cyber-physical systems has enabled mobile robots to becomemore intel ligent.”

    Research on Machine Learning Described by Researchers at Singapore University of Technology and Design (Feature-Driven Density Prediction of Maraging Steel Addi tively Manufactured Samples Using Pyrometer Sensor and Supervised Machine Learni ng)

    102-103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 out of Tampines, Singapore, by NewsRx editors, research stated, “Laser Powder Bed Fusion(LPBF) is a revolut ionizing additive manufacturing (AM) that melts the powder particles to create innovative products, but it faces substantial challenges in monitoring and predic ting the quality of theprinted samples. Traditional density measurement methods , like the Archimedes technique, have been employed to determine the density of maraging steel samples produced under varying machine settings(MACH-S) process parameters, including laser power and scan speed.”

    Data from University of Malaga Provide New Insights into Machine Learning (Low C omputational Cost for Multiple Waypoints Trajectory Planning: a Time-optimal-bas ed Approach)

    103-104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 Malaga, Spain, by News Rx correspondents, research stated, “In the field of mobilerobots, achieving mi nimum time in executing trajectories is crucial for applications like delivery, inspection, and search and rescue. In this article, a novel time-optimal planner based on optimization methods isintroduced.”

    New Findings from Carnegie Mellon University in the Area of Machine Learning Rep orted (Thermopore: Predicting Part Porosity Based On Thermal Images Using Deep L earning)

    104-105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 out of Pittsburgh, Pennsylv ania, by NewsRx editors, research stated, “Part qualification is oftena critica l and labor-intensive process in additive manufacturing, particularly in the det ection of defectssuch as porosity, which stands to benefit significantly from a dvancements in machine learning. We presenta deep learning approach for quantif ying and localizing ex-situ porosity within Laser Powder Bed Fusionfabricated s amples utilizing in-situ thermal image monitoring data.”

    Data on Machine Learning Reported by Researchers at University of St. Gallen (Ra ndom Forest Estimation of the Ordered Choice Model)

    105-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting out of St. Gallen, Sw itzerland, by NewsRx editors, research stated, “In this paper wedevelop a new m achine learning estimator for ordered choice models based on the Random Forest. Theproposed Ordered Forest flexibly estimates the conditional choice probabilit ies while taking the orderinginformation explicitly into account.”

    Study Results from School of Pedagogical and Technological Education in the Area of Artificial Intelligence Published (Generative AI tools as educators’ assista nts: Designing and implementing inquirybased lesson plans)

    106-107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 artificial in telligence have been published. According tonews reporting originating from Ath ens, Greece, by NewsRx correspondents, research stated, “This studyinvestigates the integration of Generative AI (GenAI) tools into educational practices, spec ifically focusingon the design of Inquiry-Based Learning (IBL) lesson plans.”

    Tanta University Researchers Yield New Data on Machine Learning (Integrating mac hine learning and sentiment analysis in movie recommendation systems)

    107-107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 Tanta Universi ty by NewsRx correspondents, research stated, “The fast growth of thefilm busin ess, along with an ever-increasing number of movie options, has highlighted the need for betterrecommendation algorithms.”

    Data from University of Applied Sciences Broaden Understanding of Machine Learni ng (Species-specific machine learning models for UAV-based forest health monitor ing: Revealing the importance of the BNDVI)

    108-109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 originating from Freising, Germany, b y NewsRx correspondents, research stated, “Exploring the capabilities of remotesensing technologies for identifying stress responses in trees due to environmen tal pressures is crucial forcomprehension, management, and maintenance of fores ts that are productive, healthy, and resilient. Inrecent decades, research on f orest health monitoring has been predominantly focused on data obtainedremotely , either from satellites or crewed aircraft.”

    Reports on Robotics and Artificial Intelligence Findings from Imperial College L ondon Provide New Insights (Design of an intelligent wearable device for real-ti me cattle health monitoring)

    108-108页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on robotics and artificia l intelligence is the subject of a new report.According to news reporting out o f London, United Kingdom, by NewsRx editors, research stated, “In therealm of p recision cattle health monitoring, this paper introduces the development and eva luation of anovel wearable continuous health monitoring device designed for cat tle.”