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    Researchers from University of Kirkuk Provide Details of New Studies and Finding s in the Area of Machine Learning (Prediction of the operational performance of a vehicle seat thermal management system using statistical and machine learning …)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting originating from the Uni versity of Kirkuk by NewsRx correspondents, research stated, “To assessand fore cast the operational performance of a modified car seat for thermal management u sing an airconditioning system, statistical and machine learning (ML) models we re used.”

    Qilu Hospital of Shandong University Reports Findings in Esophageal Cancer (Seru m-volatile organic compounds in the diagnostics of esophageal cancer)

    41-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Esophageal Cancer is the subject of a report. According tonews originating from Shandong, People’s Republic of China, by NewsRx correspondents, research stated,“The earl y diagnosis of esophageal cancer (EC) is extremely challenging due to a lack of effective diagnosticmethods. The study presented herein aims to assess whether serum volatile organic compounds (VOCs)could be utilised as emerging diagnostic biomarkers for EC.”

    Researchers from Indian Institute of Technology Roorkee Report Details of New St udies and Findings in the Area of Machine Learning (Predictive Modeling and Mult i-parametric Optimization of Catalytic Pyrolysis of Disposable Face Mask Using a …)

    42-42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 originatingin Uttarakhand, India, by New sRx journalists, research stated, “The current study aims to modeland optimize the catalytic pyrolysis of face masks incorporating a waste-derived catalyst to analyze theeffect of process parameters (temperature, feed-to-catalyst ratio, a nd inert gas flow rate) on the oil yieldof the process. An integrated approach of response surface methodology (R2-0.95) and machine learning(decision trees r egression, R2-0.83) demonstrated a higher prediction accuracy and lower error ma rgins.”

    Liaoning University Reports Findings in Machine Learning (CBILVHPLI: a model fo r predicting viral-host protein-lncRNA interactions based on machine learning an d transfer learning)

    43-43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 newsreporting out of Shenyang, People’s Rep ublic of China, by NewsRx editors, research stated, “Virus-hostprotein-lncRNA i nteraction (VHPLI) predictions are critical for decoding the molecular mechanism s ofviral pathogens and host immune processes. Although VHPLI interactions have been predicted in bothplants and animals, they have not been extensively studi ed in viruses.”

    Copenhagen Academy for Medical Education and Simulation (CAMES) Reports Findings in Robotics (Automated performance metrics and surgical gestures: two methods f or assessment of technical skills in robotic surgery)

    44-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news originatingfrom Copenhagen, Denmark, by NewsRx correspondents, research stated, “The objective of this study isto compare aut omated performance metrics (APM) and surgical gestures for technical skills asse ssmentduring simulated robot-assisted radical prostatectomy (RARP). Ten novices and six experienced RARPsurgeons performed simulated RARPs on the RobotiX Ment or (Surgical Science, Sweden).”

    New Machine Learning Research from Institut Teknologi Bandung Described (Design of High Entropy Superalloy FeNiCrAlCu using Computational Thermodynamic and Mach ine Learning: Effect of Alloying Compositions and Temperatures on the Stacking F ault …)

    45-45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 the Ins titut Teknologi Bandung by NewsRx editors, research stated, “Highentropy supera lloys (HESA) have great potential to replace superalloys with promising properti es extensivelydeveloped to improve performance, resource sustainability, and co st efficiency in high-temperatureapplications.”

    Researchers at Northeastern University Release New Data on Computational Intelli gence (A Cascade Dual-decoder Model for Joint Entity and Relation Extraction)

    46-46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 - Computational Intelligence. Accordingto news reporting originating from Shenyang, People’s Republic of China, by NewsRx correspondents,research st ated, “In knowledge graph construction, a challenging issue is how to extract co mplex (e.g.,overlapping) entities and relationships from a small amount of unst ructured historical data. The traditionalpipeline methods are to divide the ext raction into two separate subtasks, which misses the potentialinteractio betwee n the two subtasks and may lead to error propagation.”

    Data on Artificial Intelligence Discussed by Researchers at Shandong University (Analysis of Quartz Content In Muck Based On Artificial Intelligence Algorithms and Laser-induced Breakdown Spectroscopy In Tbm Tunneling)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Artificial Intelli gence. According to news originating from Jinan,People’s Republic of China, by NewsRx correspondents, research stated, “Rapid and in-situ sensing of thegeolog ical conditions of the rock mass is crucial to the tunnel boring machine (TBM) e xcavation process.The changes in rock strength and abrasiveness directly affect the working status of the TBM cutters andthe tunneling efficiency.”

    University of Thessaly Researcher Adds New Findings in the Area of Machine Learn ing (Assessment of Published Papers on the Use of Machine Learning in Diagnosis and Treatment of Mastitis)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from the University of Thessaly by NewsRx editors, the research stated, “The present study isan ev aluation of published papers on machine learning as employed in mastitis researc h. The aim of thisstudy was the quantitative evaluation of the scientific conte nt and the bibliometric details of these papers.In total, 69 papers were found to combine machine learning in mastitis research and were considered indetail.”

    New Machine Learning Study Results from Tarbiat Modares University Described (Pr edictive modeling of spring-back in pre-punched sheet roll forming using machine learning)

    49-49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. According tonews originating from Tarbiat Modares University by NewsRx correspondents, research stated, “This studyoutli nes an experimental and computational endeavor aimed at developing a machine lea rning model toestimate spring-back values utilizing the decision tree methodolo gy.”