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    Data on Machine Learning Described by Researchers at Van Lang University (Machin e Learning Applications To Load and Resistance Factors Calibration for Stability Design of Caisson Breakwater Foundations)

    106-106页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Ho Chi Minh City, Vie tnam, by NewsRx journalists, research stated, “Due to the limit state functions commonly defined in implicit fashions, calibrations of load and resistance facto rs for limit state designs of breakwater foundations using Monte Carlo simulatio ns (MCSs) are time-consuming and computationally expensive. This study proposed a practical framework combining the newly developed metamodels and an efficient optimization to address these computational issues.”
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    Investigators at North Dakota State University Report Findings in Machine Learni ng (Predicting Gypsum Tofu Quality From Soybean Seeds Using Hyperspectral Imagin g and Machine Learning)

    107-107页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Fargo, North Dakota, by NewsRx cor respondents, research stated, “Soybean seeds are a key ingredient for producing quality tofu. Conventional methods for assessing soybean seed quality for tofu a re timeconsuming and labor-intensive.” Financial supporters for this research include North Dakota Agricultural Product s Utilization Commission, North Dakota Agricultural Experiment Station.
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    Research from Tokyo University of Technology in the Area of Computational Intell igence Published (Selecting Pedal Load for Lower- Limb Rehabilitation Based on th e Combination of Muscle Synergy and Fourier Series)

    108-108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 computational intelligence. According to news reporting from Tokyo, Japan, by Ne wsRx journalists, research stated, “This paper introduces a new lower-limb rehab ilitation machine that meets the rehabilitation needs of hemiplegic patients.” Financial supporters for this research include Japan Society For The Promotion o f Science.
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    Findings from Faculty of Sciences Has Provided New Data on Support Vector Machin es (Multi-task Twin Support Vector Machine With Universum Data)

    109-109页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Support Vector Ma chines are discussed in a new report. According to news reporting out of Usti na d Labem, Czech Republic, by NewsRx editors, research stated, “Multi -task learni ng (MTL) has emerged as a promising topic of machine learning in recent years, a iming to enhance the performance of numerous related learning tasks by exploitin g beneficial information. Traditionally, during the training phase, existing mul ti -task learning models focused solely on the data related to the target task.” Financial support for this research came from Grant Agency of the Czech Republic .
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    Reports Outline Machine Learning Research from University of Manchester (Two-ste p vibration-based machine learning model for the fault detection and diagnosis i n rotating machine and its blind application)

    110-110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 artificial in telligence have been published. According to news reporting from Manchester, Uni ted Kingdom, by NewsRx journalists, research stated, “A robust and reliable cond ition monitoring and fault diagnosis system is crucial for an efficient operatio n of industries. Because of the advances in technologies over the past few decad es, there is an increased interest in developing intelligent systems to perform tasks that traditionally rely on knowledge, experience and expertise of an indiv idual.” The news editors obtained a quote from the research from University of Mancheste r: “It is known that unexpected breakdowns have wide implications in production processes. Thus, it is vital to be able to know the machine condition and detect at the earliest possible stage the defects when they occur. Aiming at an indust rial application, in this study, a two-step approach is proposed for the fault d etection and diagnosis of rotor-related faults. The implemented algorithm is a p attern recognition supervised artificial neural network, which through informati on extracted from vibration signals allows one to identify the health status of the machine. In the first step, the model identifies whether the machine is heal thy or faulty. This is important information for any industry to operate the mac hines. Once the machine condition (healthy or faulty) is known and if it is faul ty, then only faulty machine parameters are used in the second step to know the specific fault.”
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    Research Data from University of California Los Angeles (UCLA) Update Understand ing of Machine Learning (Machine-learning Based Identification of the Critical D riving Factors Controlling Storm-time Outer Radiation Belt Electron Flux Dropout s)

    111-112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 Machine Learning is th e subject of a report. According to news reporting from Los Angeles, California, by NewsRx journalists, research stated, “Understanding and forecasting outer ra diation belt electron flux dropouts is one of the top concerns in space physics. By constructing Support Vector Machine (SVM) models to predict storm-time dropo uts for both relativistic and ultrarelativistic electrons over L = 4.0-6.0, we investigate the nonlinear correlations between various driving factors (model in puts) and dropouts (model output) and rank their relative importance.” Funders for this research include National Aeronautics & Space Adm inistration (NASA), Van Allen Probes mission, University of Colorado Boulder und er NASA, NSF - Directorate for Engineering (ENG).
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    Findings from Italian Institute of Technology in the Area of Robotics Described (Srl-vic: a Variable Stiffness-based Safe Reinforcement Learning for Contact-ric h Robotic Tasks)

    112-113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 Robotics have been published. According to news originating from Genoa, Italy, by NewsRx corr espondents, research stated, “Reinforcement learning (RL) has emerged as a promi sing paradigm in complex and continuous robotic tasks, however, safe exploration has been one of the main challenges, especially in contact-rich manipulation ta sks in unstructured environments. Focusing on this issue, we propose SRL-VIC: a model-free safe RL framework combined with a variable impedance controller (VIC) .” Financial support for this research came from European Union#x0027; s Horizon 2020 Research and Innovation Programme SOPHIA.
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    Patent Issued for System and method for waste disposal (USPTO 11980917)

    113-115页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent by the inventors Purtill, Tyl er (Largo, FL, US), filed on April 12, 2022, was published online on May 14, 202 4, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11980917 is assigned to Trilogy Medwaste Inc. (Houston, Texas, Uni ted States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Waste products include chemical products, biolo gical products, pharmaceutical products, and the like. Handling such waste produ cts can include tracking, storage, dispensing, and disposing of the product. Thi s is generally referred to as waste disposal, which is a process that is often s ubject to various regulations, including federal-level regulations, state-level regulations, and/or enterprise-level regulations (e.g., policies and procedures) .”
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    'System And Method For Providing Electronic Navigation Assistance Based On Data Patterns Via Process Tracking Graphing' in Patent Application Approval Process ( USPTO 20240160681)

    115-120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 inventor R eji, Joel (Charlotte, NC, US), filed on November 16, 2022, was made available on line on May 16, 2024, according to news reporting originating from Washington, D .C., by NewsRx correspondents. This patent application is assigned to Bank of America Corporation (Charlotte, N orth Carolina, United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Websites can often be difficult to navigate due to a large number of pages available to navigate for a user. As a result, users can often get lost looking for specific resources on a website. There currently exists little to no automated techniques to assist lost users. Through applied effort, ingenuity, and innovation, many of these identified problems have been s olved by developing solutions that are included in embodiments of the present di sclosure, many examples of which are described in detail herein.”
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    'Mobile Transport Device And Mobile Transport System Including The Same' in Pate nt Application Approval Process (USPTO 20240158168)

    120-125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 LEE, Hoyoung (Yongin-si, KR); LEE, Seungchan (Hwaseong-si, KR); PARK, Sangok (Hw aseong-si, KR), filed on November 1, 2023, was made available online on May 16, 2024, according to news reporting originating from Washington, D.C., by NewsRx c orrespondents. 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: “ “The disclosure relates to a mobile transport system, and more particularly, to a mobile transport system capable of loading equipment.
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