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    Iran University of Science and Technology Researchers Add New Data to Research I n Machine Learning (A Hybrid Network Analysis and Machine Learning Model for Enh anced Financial Distress Prediction)

    95-95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 newsreporting from Tehran, Iran, b y NewsRx journalists, research stated, “Financial distress prediction is crucialto financial planning, particularly amid emerging uncertainties. This study int roduces a novel methodologyfor predicting financial distress by amalgamating ne twork analysis and machine learning techniques.”

    Researchers from Siksha ‘O’ Anusandhan University Report Details of New Studies and Findings in the Area of Machine Learning (Machine Learning Optimization Tech niques: a Survey, Classification, Challenges, and Future Research Issues)

    96-96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 reportingoriginating from Bhubaneswar, India , by NewsRx correspondents, research stated, “Optimizationapproaches in machine learning (ML) are essential for training models to obtain high performance across numerous domains. The article provides a comprehensive overview of ML optimiz ation strategies,emphasizing their classification, obstacles, and potential are as for further study.”

    Recent Findings from Texas A&M University Provides New Insights int o Machine Learning (Machine Learning Meets Process Control:Unveiling the Potent ial of Lstmc)

    97-97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 Machine Learning. According to news reportingfrom College Station, Texas, by Ne wsRx journalists, research stated, “In the past three decades,proportional-inte gral/PI-differential (PI/PID) controllers and model predictive controller (MPCs) havepredominantly governed complex chemical process control. Despite their adv ancements, these approacheshave limitations, with PI/PID controllers requiring scenario-specific tuning and MPC being computationallydemanding.”

    Korea Maritime and Ocean University Researcher Provides New Data on Robotics (St udy on Oscillatory and Undulatory Motion of Robotic Fish)

    98-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been pr esented. According to news reporting fromBusan, South Korea, by NewsRx journali sts, research stated, “This paper conducts a comprehensive analysisof undulatin g and oscillatory movements in fish, utilizing numerical simulations to explore correlationsamong fin thrust and swimming speed.”Funders for this research include Korea Government.

    Findings from Amity University Provides New Data on Artificial Intelligence (Ai- sensevision: a Low-cost Artificial-intelligence-based Robust and Real-time Assis tance for Visually Impaired People)

    98-99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 reporting originating from Noida, India , by NewsRx correspondents, research stated, “Visually impaired people(VIPs) en counter various challenges in their daily lives, and there is a need for portabl e, user-friendlydevice for real-time assistance to give them guidance regarding their surroundings. This article presents anartificial-intelligence-based inno vative wearable assistive device-artificial intelligence (AI)-SenseVision-toana lyze visual and sensory information about the objects and obstacles present in t he scene to perceivethe surrounding environment.”

    Researcher at Henan University of Economics and Law Releases New Data on Intelli gent Systems (Interval-valued T-spherical fuzzy extended power aggregation opera tors and their application in multi-criteria decision-making)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on intelligent syste ms are discussed in a new report. According tonews originating from Zhengzhou, People’s Republic of China, by NewsRx editors, the research stated, “Asan effec tive tool to show the fuzziness of qualitative information, the interval-valued T-spherical fuzzy setcan utilize three kinds of information, namely, membership , abstinence, and non-membership, to show theopinions of decision-maker.”

    New Findings from Beihang University in the Area of Artificial Intelligence Publ ished (CourseKG: An Educational Knowledge Graph Based on Course Information for Precision Teaching)

    100-101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 reportingoriginating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “With thera pid development of advanced technologies, such as artificial intelligence and de ep learning, educationalinformatization has entered a new era. However, the exp losion of information has brought numerouschallenges.”

    Research from University of Central Punjab in the Area of Machine Learning Descr ibed (An Improved Machine Learning-Driven Framework for Cryptocurrencies Price P rediction With Sentimental Cautioning)

    101-102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 reportingoriginating from Punjab, Paki stan, by NewsRx correspondents, research stated, “Cryptocurrencies,recognized b y their extreme volatility due to dependency on multiple direct and indirect fac tors, offer asignificant challenge regarding precise price forecasting. This un certainty has led to investment hesitationwithin the digital currency market.”Financial supporters for this research include Researchers Supporting Project; K ing Saud University,Riyadh, Saudi Arabia.

    Data on Intelligent Systems Described by Researchers at Norwegian University of Science and Technology (NTNU) (Multi-class Hate Speech Detection In the Norwegia n Language Using Fast-rnn andMultilingual Fine-tuned Transformers)

    102-103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 - Intel ligent Systems are presented in a new report.According to news reporting out of Gjovik, Norway, by NewsRx editors, research stated, “The growth ofsocial netwo rks has provided a platform for individuals with prejudiced views, allowing them to spread hatespeech and target others based on their gender, ethnicity, relig ion, or sexual orientation. While positiveinteractions within diverse communiti es can considerably enhance confidence, it is critical to recognizethat negativ e comments can hurt people’s reputations and well-being.”

    Studies from G.B. Pant University of Agriculture and Technology Add New Findings in the Area of Machine Learning (Estimation of Crop Evapotranspiration Using St atistical and Machine Learning Techniques With Limited Meteorological Data: a Ca se ...)

    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 news reportingfrom Uttarakhand, India, by N ewsRx journalists, research stated, “Accurate forecasting of daily evapotranspiration (ET) is essential for enhancing real-time irrigation scheduling and inform ed decision-makingin water resources allocation. This study investigates the in tricate relationships between meteorologicalvariables and evapotranspiration (E T) to enhance the accuracy of ET estimation models.”