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    Study Results from Malaviya National Institute of Technology in the Area of Mach ine Learning Reported (dievd-sf: Disruptive Event Detection Using Continual Mach ine Learning With Selective Forgetting)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting originatingfrom Jaipur, India, by NewsRx correspondents, research stated, “Detecting disruptive events (DEs),such as ri ots, protests, and natural calamities, from social media is essential for studyi ng geopoliticaldynamics. To automate the process, existing methods rely on clas sical machine learning (ML) modelsapplied to static datasets, which is counterp roductive.”

    Recent Findings from Tianjin University Has Provided New Information about Machi ne Learning (Simulation and Optimization of Co-pyrolysis Biochar Using Data Enha nced Interpretable Machine Learning and Particle Swarm Algorithm)

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Co-pyrolysis is anadvanced t echnique used to optimize biochar by combining different biomass feedstock and a djustingprocess conditions. The H/N ratio and yield of biochar, along with fact ors such as nutrient content andspecific surface area, affect the adsorption an d pore structure of soil amendments.”

    Reports from Polytechnic University Torino Provide New Insights into Machine Lea rning (A Machine Learning Approach To Evaluate the Influence of Higher-order Gen eralized Variables On Shell Free Vibrations)

    61-62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 Ma chine Learning. According to news reportingout of Turin, Italy, by NewsRx edito rs, research stated, “This work focuses on deriving guidelines forchoosing stru ctural theories for composite shells using Convolutional Neural Networks (CNN). The Axiomatic/Asymptotic Method (AAM) is used to evaluate higher -order structur al theories’ accuracy andcomputational efficiency based on polynomial expansion s.”

    Findings on Artificial Intelligence Discussed by Investigators at East China Uni versity of Science and Technology (Guest Editorial Special Issue On Learning The ories and Methods With Application To Digitized Process Manufacturing)

    62-63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 Shanghai, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Thedigiti zation of process manufacturing involves converting information and knowledge in to a digital formatthrough technologies, such as artificial intelligence (AI), the Internet of Things (IoT), blockchain, anddigital twins. This transformation promotes extension and optimization within the industrial, supply, andvalue ch ains, aiming to enhance decision-making efficiency, enable agile operations, and ensure informationsecurity and privacy.”

    Federal University of Juiz de Fora Researchers Add New Study Findings to Researc h in Machine Learning (Performance of evolutionary optimized machine learning fo r modeling total organic carbon in core samples of shale gas fields)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Fresh data on artificial intelligence are present ed in a new report. According to news reportingout of Juiz de Fora, Brazil, by NewsRx editors, research stated, “Rock samples’ TOC content is the bestindicato r of the organic matter in source rocks. The origin rock samples’ analysis is us ed to calculate itmanually by specialists.”

    Researchers’ Work from Swiss Federal Institute of Technology Lausanne (EPFL) Foc uses on Robotics (Soft Robot Shape Estimation With Imus Leveraging Pcc Kinematic s for Drift Filtering)

    64-64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 have been published. According to news originatingfrom Lausanne, Switzerland, by Ne wsRx correspondents, research stated, “The control possibilities for softrobots have long been hindered by the need for reliable methods to estimate their conf iguration. Inertialmeasurement units (IMUs) can solve this challenge, but they are affected by well-known drift issues.”

    Reports Outline Robotics and Automation Findings from Monash University (Motionp erceiver: Real-time Occupancy Forecasting for Embedded Systems)

    65-65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 Ro botics - Robotics and Automation. Accordingto news reporting out of Clayton, Au stralia, by NewsRx editors, research stated, “This work introduces anovel and a daptable architecture designed for real-time occupancy forecasting that outperfo rms existingstate-of-the-art models on the Waymo Open Motion Dataset in Soft IO U. The proposed model usesrecursive latent state estimation with learned transf ormer-based functions to effectively update and evolvethe state.”

    Research from Taras Shevchenko National University Kyiv Reveals New Findings on Machine Learning (Which molecules can challenge density-functional tight-binding methods in evaluating the energies of conformers? investigation with ...)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting out of Kyiv, U kraine, by NewsRx editors, research stated, “Large organic moleculesand biomole cules can adopt multiple conformations, with the occurrences determined by their relativeenergies.”

    New Findings from Harbin Institute of Technology in the Area of Robotics Reporte d (Disturbance Observer-based Control for Cabledriven Parallel Robots With Exte rnal Disturbance Using Deep Reinforcement Learning)

    67-67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 fromHarbin, People’s Republic of China, by NewsRx journalists, research stated, “In cable-driven parallel robots(CDPRs) p ractical applications, external disturbances inevitably influence the actuator p erformance,leading to low positioning accuracy of end-effector (EE), and even s ystem crashes. This paper addressesa disturbance observer-based control scheme using deep reinforcement learning (RL) to suppress the effectof external distur bances.”

    Report Summarizes Artificial Intelligence Study Findings from Edge University (U nveiling Shadows: Harnessing Artificial Intelligence for Insider Threat Detectio n)

    68-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting originating fr om Edge University by NewsRx correspondents, research stated, “Insiderthreats p ose a significant risk to organizations, necessitating robust detection mechanis ms to safeguardagainst potential damage.”