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    Data on Artificial Intelligence Described by a Researcher at University of Engin eering and Technology (A Comparative Analysis of Sediment Concentration Using Ar tificial Intelligence and Empirical Equations)

    99-100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 artificial intell igence are discussed in a new report. According to news reporting originating fr om Taxila, Pakistan, by NewsRx correspondents, research stated, “Morphological c hanges in canals are greatly influenced by sediment load dynamics, whose estimat ion is a challenging task because of the non-linear behavior of the sediment con centration variables. This study aims to compare different techniques including Artificial Intelligence Models (AIM) and empirical equations for estimating sedi ment load in Upper Chenab Canal based on 10 years of sediment data from 2012 to 2022.”

    Data from Wuhan University of Technology Provide New Insights into Machine Learn ing [A Machine Learning Framework for Intelligent Development of Ultra-high Performance Concrete (Uhpc): From Dataset Cleaning To Performance Predicting]

    100-101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 Machine Learning are discussed in a new report. According to news reporting originating from Wuha n, People’s Republic of China, by NewsRx correspondents, research stated, “This study proposes a new machine learning (ML) framework, which mainly includes data set cleaning processing as well as performance predicting, for property predicti on of ultra-high performance concrete (UHPC). Firstly, the missing data in origi nal dataset is interpolated and discussed by visualization results.”

    Researchers at National Center for Atmospheric Research Report New Data on Machi ne Learning (Comparing Machine Learning and Inverse Modeling Approaches for the Source Term Estimation)

    101-102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 reporting from Boulder, Colorado, by NewsRx journal ists, research stated, “Mathematical models serve as crucial tools for quantitat ively assessing the environmental and population impact resulting from the relea se of hazardous substances. Often, precise source parameters remain elusive, lea ding to a reliance on rudimentary assumptions.”

    University of Haripur Researchers Report Research in Machine Learning (2CAP: A Novel Curve Crash Avoidance Protocol to Handle Curve Crashes in Vehicular Ad-Hoc Network)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting originating from Haripur, Pakistan, by N ewsRx correspondents, research stated, “Curves are the leading cause of road dep arture crashes that turn into deaths and severe injuries. Most crashes occur on curved roads because they have different geometrical circumstances from straight roads.”

    Recent Studies from Xidian University Add New Data to Computational Intelligence (Sparse Hyperspectral Unmixing With Preference-based Evolutionary Multiobjectiv e Multitasking Optimization)

    103-104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 Machine Learning - Computational Intelligence. According to news reporting origi nating in Xi’an, People’s Republic of China, by NewsRx journalists, research sta ted, “The traditional sparse unmixing methods based on multiobjective evolutiona ry algorithms (MOEAs) only deal with a single mixed pixel, without considering t he spatial structure relationship between different mixed pixels. In addition, t hese methods suffer from the curse of dimensionality caused by the large number of pixels in hyperspectral image and spectra in library.”

    University of Lille Researchers Publish Findings in Artificial Intelligence [Using Artificial Intelligence (AI) Generative Technologies For Business Model De sign with IDEATe Process: A Speculative Viewpoint]

    104-105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 ar tificial intelligence. According to news reporting from the University of Lille by NewsRx journalists, research stated, “Artificial Intelligence (AI) and the mo re recent generative technologies are disrupting many activities related to stra tegy and operations within organizations.”

    Research on Artificial Intelligence Discussed by Researchers at Universitas Nege ri Surabaya (An artificial intelligence-based tool for student-generated question)

    105-105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 artificial intelligen ce have been presented. According to news originating from the Universitas Neger i Surabaya by NewsRx correspondents, research stated, “The benefits of student q uestion generation have been extensively established, yet most students do not e ngage in question-generation activities throughout their formal education and ar e not used to writing questions.”

    “Machine Learning Enabled Interaction Summarization And Analysis” in Patent Appl ication Approval Process (USPTO 20240144088)

    106-110页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “ “Field “The disclosure herein relates to tools enabled by machine learning to perform i nteraction analysis and summarization, agent training and chat analytics to prov ide automated coaching enhancement via robotic training, and more particularly, robot-enabled training delivery to a human customer service agent, automated coa ching and meeting analytics, and an employee engagement, retention, churn, and prediction platform.

    Researchers Submit Patent Application, “Compliance Determinations For Conveyance Of Benefits”, for Approval (USPTO 20240143640)

    110-113页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “Corporate gifting refers to the conveyance of a benefit on behalf of a company, as the sender, to a recipient of that benefit. Often the c onveyance is made from the company, or an employee or associate of the company, and often the benefit is in the form of a gift, amenity, or service provided to or for the recipient. The recipient could be a target company, employee or assoc iate of that target company, an individual, or any other entity. Many companies put into place compliance policies pertaining to conveyance of benefits, and man y times a company has compliance policies covering conveyance of benefits by emp loyees/associates to recipients outside of that company as well as compliance po licies covering conveyance of benefits by others to the company, employees, and associated thereof, as a recipient of the benefits.”

    Patent Application Titled “Method, Service Server, And Computer-Readable Medium For Selectively Extracting Data For Labeling” Published Online (USPTO 2024014404 0)

    113-117页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “ “The present invention relates to a method, a service server, and a computer-rea dable medium for selectively extracting data for labeling, and more particularly , to a method, a service server, and a computerreadable medium for selectively extracting data for labeling, capable of selectively providing data for effectiv ely training a machine learning model that is desired to be achieved by a user b y deriving a plurality of feature vectors for a plurality of data included in an original dataset, applying a preset rule to the feature vectors to select a pre set number of feature vectors among the feature vectors, and plotting the select ed feature vectors and unselected feature vectors on a plane of three or less di mensions to provide a plotting result to the user.