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    Research from University of Transport Technology Broadens Understanding of Machi ne Learning (Machine learning-based model for predicting arrival time of contain er ships)

    56-56页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting from Hanoi, Vietnam, by NewsRx journalists, research stated, "Forecasting container ship arrival times i s challenging, requiring a thorough analysis for accuracy."The news editors obtained a quote from the research from University of Transport Technology: "This study investigates the effectiveness of machine learning (ML) techniques in maritime transportation. Using a dataset of 581 samples with 8 in put variables and 1 output variable (arrival time), ML models are constructed. T he Pearson correlation matrix reduces input variables to 7 key factors: freight forwarder, dispatch location, loading and discharge ports, post-discharge locati on, dispatch day of the week, and dispatch week. The ranking of ML performance f or predicting the arrival time of container ships can be arranged in descending order as GB-PSO > XGB > RF > RF-PSO > GB > KNN > SVR."
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    Fujian Medical University Reports Findings in Lung Cancer (Machine-learning deve loped an iron, copper, and sulfurmetabolism associated signature predicts lung adenocarcinoma prognosis and therapy response)

    57-58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 - Lung Cancer is the subject of a report. According to news reporting out of Fuzhou, People's Republic of China, by NewsRx editors, research stated, "Previous studies have l argely neglected the role of sulfur metabolism in LUAD, and no study has combine iron, copper, and sulfur-metabolism associated genes together to create prognos tic signatures. This study encompasses 1564 LUAD patients, 1249 NSCLC patients, and over 10,000 patients with various cancer types from diverse cohorts."
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    Uppsala University Reports Findings in Dementia (Making robots matter in dementi a care: Conceptualising the triadic interaction between caregiver, resident and robot animal)

    58-59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 Neurodegenerative Dise ases and Conditions - Dementia is the subject of a report. According to news rep orting from Uppsala, Sweden, by NewsRx journalists, research stated, "While prev ious research studies have focused on either caregivers' or residents' perceptio n and use of social robots, this article offers an empirical and theoretical exa mination of joint activities in triadic human-robot interaction. The symptomatol ogy of dementia creates an asymmetrical relation wherein the impetus to employ a robot often originates from the caregiver."Financial support for this research came from Vetenskapsradet.
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    Studies from Zhengzhou University in the Area of Machine Learning Reported (From Single Metals To High-entropy Alloys: How Machine Learning Accelerates the Deve lopment of Metal Electrocatalysts)

    59-60页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news originating from Henan, People's Republic of China , by NewsRx correspondents, research stated, "The rapid advancement of high-perf ormance computing and artificial intelligence technology has opened up novel ave nues for the development of various metal electrocatalysts. In particular, dilut e and high-entropy alloys have garnered significant attention owing to their uni que electronic and spatial structures, as well as their exceptional electrocatal ytic performance."Funders for this research include Henan Provincial Joint Fund for Cultivation of Key Disciplines Project, National Natural Science Foundation of China (NSFC).
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    Researcher at Rennes School of Business Zeroes in on Androids (Just Name it: The Act of Naming Humanoid Service Robots Decreases Perceived Eeriness and Increase s Repurchase Intent)

    60-60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 androids have been published. According to news reporting out of Rennes, France, by NewsRx ed itors, research stated, "Though Humanoid Service Robots are the "holy grail"of robotics, the discomfort, specifically the feelings of eeriness, they elicit in consumers still raises concerns as to their successful implementation in service settings."Our news editors obtained a quote from the research from Rennes School of Busine ss: "From a firm's point of view, the main question revolves around how to integ rate humanoid service robots without hurting consumers' repurchase intent as a r esult of their perceived eeriness. The results of four experiments (including a study involving real interactions), using four distinct humanoid service robots and four different service settings, collectively examine a novel marketing solu tion which consists of consumers assigning a name to a humanoid service robot. W e show that humanoid service robots with customer-assigned names versus no name or store-assigned names increase consumers' repurchase intent."
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    Reports Summarize Robotics Findings from Zhejiang University of Technology (A Mo dular Soft Pipe-climbing Robot With High Maneuverability)

    61-61页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news reporting from Hangzhou, People's Republic of China, by NewsRx journalists, research stated, "Pipeline is widely deployed in infrast ructures, which raises a great demand of pipe-climbing robots to provide pipe-in side inspecting and platform delivery. Soft pipe-climbing robots (SPRs) are intr insically flexible and able to operate within complex, narrow and curving pipeli nes more effectively than their rigid counterparts."Financial support for this research came from Joint Fund of National Natural Sci ence Foundation of China with Shenzhen City.
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    Data on Robotics Published by a Researcher at Guangzhou University (Fixed-Time A daptive Event-Triggered Guaranteed Performance Tracking Control of Nonholonomic Mobile Robots under Asymmetric State Constraints)

    62-63页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on robotics have been pr esented. According to news reporting from Guangzhou, People's Republic of China, by NewsRx journalists, research stated, "A fixed-time adaptive (NMRs) under asymmetric state constraints."Financial supporters for this research include National Natural Science Foundati on of China. The news reporters obtained a quote from the research from Guangzhou University: "For the sake of favorable transient and steady-state properties of the system, a prescribed performance function (PPF) is introduced and a transform function is further constructed. Based on the backstepping technique, an asymmetric barri er Lyapunov function is formulated to ensure the tracking errors converge within a humanspecified time. On the foundation of this, the occupation of communicat ion channel is effectively reduced by assigning an event-triggered mechanism (ET M) with relative threshold to the process of controller design."
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    Reports Summarize Machine Learning Study Results from Faculty of Engineering and Architecture (Predicting compressor mass flow rate using various machine learni ng approaches)

    62-62页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from the Faculty of En gineering and Architecture by NewsRx correspondents, research stated, "A major f ocus of the present study is to construct high-fidelity models for predicting co rrected mass flow rates based on the collected compressor map data."The news editors obtained a quote from the research from Faculty of Engineering and Architecture: "Both traditional machine learning research and modern deep le arning techniques have been employed to obtain well-fitted regression models of compressor mass flow rate. As traditional machine learning methods, Multiple Lin ear Regression and Random Forest, are conducted on compressor maps for predictio n of corrected mass flow rate. The time series-based deep learning models are ab le to capture the overall trend of a given input for specific map data."
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    Patent Issued for Graphical user interface allowing entry manipulation (USPTO 11 977720)

    63-66页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Truist Bank (Charlotte, North Carolina , United States) has been issued patent number 11977720, according to news repor ting originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Pastore, Alexis (Charlotte, NC, US). This patent was filed on January 18, 2023 and was published online on May 7, 202 4. From the background information supplied by the inventors, news correspondents o btained the following quote: "Field "This disclosure relates generally to a system and method for managing transacti ons in an online application and, more particularly, to a system and method for allowing a user to create separate transaction lists and arrangement of the list s in an online credit card application.
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    "Diagnostic Assistance System And Method Therefor"in Patent Application Approva l Process (USPTO 20240152579)

    66-70页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors ENOMOTO, Masaki (Tokyo, JP); KURAMOTO, Yasutaka (Tokyo, JP); SABIRIN, Houari (To kyo, JP); WATANABE, Zentaro (Tokyo, JP), filed on January 3, 2024, was made avai lable online on May 9, 2024, according to news reporting originating from Washin gton, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Hitherto, a diagnostic task of using data obtai ned from an object such as a farm field, a building, or a living body, for examp le, a photographic image to find abnormal sites (disease, degradation, and damag ed part) of the object, identify abnormality details of each abnormal site, and identify a measure (pesticide type, fertilizer type, repair method, or remedy) t o be applied to each abnormal site has been performed. Besides, a computer-aided system for assisting in performing such a diagnostic task is proposed.
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