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    Sulaimani Polytechnic University Researchers Update Current Study Findings on Ma chine Learning (Machine Learning-based Predictive Maintenance for Fault Detectio n in Rotating Machinery: A Case Study)

    87-88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 to newsoriginating from Sulaimani Pol ytechnic University by NewsRx editors, the research stated, “In the realmof ind ustrial production, condition monitoring plays a pivotal role in ensuring the re liability and longevityof rotating machinery. Since most of the production faci lities rely heavily on vibration analysis, it hasbecome the cornerstone of cond ition monitoring practices.”

    Tekirdag Namik Kemal University Reports Findings in Artificial Intelligence (Res ponses of Five Different Artificial Intelligence Chatbots to the Top Searched Qu eries About Erectile Dysfunction: A Comparative Analysis)

    88-89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 newsreporting out of Tekirdag, Turke y, by NewsRx editors, research stated, “The aim of the study is to evaluateand compare the quality and readability of responses generated by five different art ificial intelligence (AI)chatbots-ChatGPT, Bard, Bing, Ernie, and Copilot-to th e top searched queries of erectile dysfunction(ED). Google Trends was used to i dentify ED-related relevant phrases.”

    Findings from Clemson University Broaden Understanding of Machine Learning (Appl ication of Machine Learning Approaches In Supporting Irrigation Decision Making: a Review)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news originatingfrom Clemson, South Carolina, by NewsRx correspondents, research stated, “Irrigation decision-making hasevolved from solely depending on farmers’ decisions taken based on the visual analysis o f field conditions tomaking decisions based on crop water need predictions gene rated using machine learning (ML) techniques.This paper reviews ML related arti cles to discuss how ML has been used to enhance irrigation decisionmaking.”

    Saint Mary’s University Reports Findings in Machine Learning (Toward Fairness, A ccountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review)

    90-91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 newsreporting originating from Halifax, Can ada, by NewsRx correspondents, research stated, “The use of socialmedia for dis seminating health care information has become increasingly prevalent, making the expandingrole of artificial intelligence (AI) and machine learning in this pro cess both significant and inevitable. Thisdevelopment raises numerous ethical c oncerns.”

    Researcher at University of Minnesota Describes Research in Machine Learning (Im plementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learni ng to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada)

    91-92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 originatingfrom the University of Mi nnesota by NewsRx editors, the research stated, “One of the challenges in site-specific phosphorus (P) management is the substantial spatial variability in plan t available P across fields.To overcome this barrier, emerging sensing, data fu sion, and spatial predictive modeling approaches areneeded to accurately reveal the spatial heterogeneity of P.”

    University of Vaasa Reports Findings in Machine Learning (Using Machine Learning and 10-k Filings To Measure Innovation)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingout of Vaasa, Finland, by NewsRx ed itors, research stated, “The purpose of this paper is to develop andvalidate a text-based measure of innovation using latent Dirichlet allocation on a sample o f 45,409 10-Kfilings from US listed companies.”

    State Key Laboratory of Wheat and Maize Crop Science Reports Findings in Machine Learning (Estimation of wheat protein content and wet gluten content based on f usion of hyperspectral and RGB sensors using machine learning algorithms)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news originating fromHenan, People’s Republic of China , by NewsRx correspondents, research stated, “The protein content(PC) and wet g luten content (WGC) are crucial indicators determining the quality of wheat, pla ying apivotal role in evaluating processing and baking performance. Original re flectance (OR), wavelet feature(WF), and color index (CI) were extracted from h yperspectral and RGB sensors.”

    New Robotics and Automation Findings from Swiss Federal Institute of Technology Reported (Learning Occluded Branch Depth Maps In Forest Environments Using Rgb-d Images)

    94-94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 - Ro botics and Automation have been published.According to news reporting out of Zu rich, Switzerland, by NewsRx editors, research stated, “Coveringover a third of all terrestrial land area, forests are crucial environments; as ecosystems, for farming, andfor human leisure. However, they are challenging to access for env ironmental monitoring, for agriculturaluses, and for search and rescue applicat ions.”

    New Findings from Interuniversity Microelectronics Centre (IMEC) Update Understa nding of Machine Learning (Machine Learning On Multiplexed Optical Metrology Pat tern Shift Response Targets To Predict Electrical Properties)

    95-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news originatingfrom Leuven, Belgium, by NewsRx corres pondents, research stated, “Doing high throughput high accuracymetrology in sma ll geometries is challenging. One approach is to build easily measurable proxy t argetsonto dies and make a predictive model based on those signals.”

    Findings from Chiang Mai University in the Area of Machine Learning Reported (Pr edicting Dynamic Contact Angle In Immiscible Fluid Displacement: a Machine Learn ing Approach for Subsurface Flow Applications)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Chiang Mai, Thailand, by NewsRx correspondents, research stated, “Immisciblefluid-fluid di splacement dynamics is a crucial element to understanding and engineering many s ubsurfaceflow applications, including enhanced oil recovery and carbon dioxide geological sequestration. Althoughthere are several interfacial properties that govern such a displacement dynamic, the wettability has beenconsidered a domin ant factor.”