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    Reports Outline Machine Learning Research from Ibn Tofail University (A comparat ive study of ensemble learning algorithms for high-frequency trading)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on artificial intelligence are present ed in a new report. According to news reporting from Kenitra, Morocco, by NewsRx journalists, research stated, “High-Frequency Trading utilizes powerful mathema tical algorithms to execute transactions at an extremely rapid pace, which makes the use of machine learning techniques for prediction necessary. This paper eva luates the effectiveness of various ensemble learning algorithms, including Boos ting (Adaboost and XGBoost), Bagging (Random Forest and Bagging-LSVM), and Stack ing, in predicting stock prices using High-Frequency Trading (HFT) data from the Casablanca Stock Exchange.”

    Researchers from University of Surrey Report New Studies and Findings in the Are a of Artificial Intelligence (The Rise of Humanmachine Collaboration: Managers’ Perceptions of Leveraging Artificial Intelligence for Enhanced B2b Service Recovery)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Artificial Intelli gence. According to news reporting out of Guildford, United Kingdom, by NewsRx e ditors, research stated, “This research analyses managers’ perceptions of the mu ltiple types of artificial intelligence (AI) required at each stage of the busin ess-to-business (B2B) service recovery journey for successful human-AI collabora tion in this context. Study 1 is an exploratory study that identifies managers’ perceptions of the main stages of a B2B service recovery journey based on human- AI collaboration and the corresponding roles of the human-AI collaboration at each stage.”

    Study Results from Harbin Institute of Technology Broaden Understanding of Robot ics and Automation (Human-in-the-loop Modeling and Control of an Upper Limb Exos uit With Tendon-sheath Actuation)

    105-106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 Ro botics - Robotics and Automation. According to news reporting originating in Har bin, People’s Republic of China, by NewsRx journalists, research stated, “Cable- driven exosuits have the advantages of being lightweight, compact, and well-adap ted due to avoiding extensive usage of rigid structures to transmit power. Howev er, applying too many flexible materials into the system will cause some problem s such as insufficient stiffness, easy deformation, and non-negligible friction, thus increasing the difficulty of synergistic control between the human and cable-driven exosuit.”

    Research and Early Development Researchers Release New Data on Artificial Intell igence (Artificial intelligence-open science symbiosis in chemoinformatics)

    106-107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 artificial intelligence. According to news reporting originating from the Resear ch and Early Development by NewsRx correspondents, research stated, “In chemoinf ormatics, artificial intelligence (AI) continues to grow a symbiosis with open s cience (OS).”

    Studies from Tianjin University Further Understanding of Robotics (Balancing and Scheduling of Assembly Line With Multi-type Collaborative Robots)

    107-108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 reporting originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Humanrobot colla boration (HRC) is a promising production mode that is in line with the vision of humancentered Industry 4.0. HRC contributes to the improvement of productivity as well as the reduction of workers’ ergonomic risk.”

    Second Affiliated Hospital of Dalian Medical University Reports Findings in Robo tics (Surgical procedures and techniques in robotassisted uterine artery-preser ving radical trachelectomy)

    108-108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 Robotics is the subjec t of a report. According to news reporting out of Dalian, People’s Republic of C hina, by NewsRx editors, research stated, “The aim of the study was to study rob otic cervical radical trachelectomy, aimed at standardizing and optimizing surgi cal procedures, thereby facilitating the learning process. All surgical procedur es were based on the anatomy of the embryonic compartments, which not only help prevent tumor spillage due to disruption of the embryonic compartments, but also maximize the avoidance of inadequate resection margins.”

    Fudan University Researcher Describes Recent Advances in Machine Learning (Multi -Scenario Validation and Assessment of a Particulate Matter Sensor Monitor Optim ized by Machine Learning Methods)

    109-110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 artificial intelligence. According to news reporting out of Shanghai, People’s R epublic of China, by NewsRx editors, research stated, “The aim was to evaluate a nd optimize the performance of sensor monitors in measuring PM2.5 and PM10 under typical emission scenarios both indoors and outdoors.”

    Capital Medical University Reports Findings in Machine Learning (Practical measu rements distinguishing physiological and pathological stereoelectroencephalograp hy channels based on high-frequency oscillations in the human brain)

    110-111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 Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “The present study aimed to identify various distinguishing features for use in the accurate classification of stereoelectroencephalography (SEEG) channels based on high-frequency oscilla tions (HFOs) inside and outside the epileptogenic zone (EZ). HFOs were detected in patients with focal epilepsy who underwent SEEG.” Funders for this research include National Natural Science Foundation of China, National Key Research and Development Program of China.

    Tomsk State University of Control Systems and Radioelectronics Researcher Update s Current Study Findings on Machine Learning (Using machine learning for the opt imisation of operations and management in electric systems and networks)

    111-111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 artificial intelligence. According to news originating from Tomsk State Universi ty of Control Systems and Radioelectronics by NewsRx editors, the research state d, “This research employs the Random Forest Machine Learning model to predict el ectricity consumption and detect anomalies in electrical networks. Addressing th e energy sector’s challenges, such as supply reliability and renewable energy in tegration, this model processes historical electricity consumption data, weather conditions, and network events to efficiently forecast demand and identify anom alies.”

    Cincinnati Children’s Hospital Medical Center Reports Findings in Artificial Int elligence (Application of artificial intelligence and machine learning in drug r epurposing)

    112-113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 Artificial Intelligenc e is the subject of a report. According to news originating from Cincinnati, Ohio, by NewsRx correspondents, research stated, “The purpose of drug repurposing is to leverage previously approved drugs for a particular disease indication and apply them to another disease. It can be seen as a faster and more cost-effective approach to drug discovery and a powerful tool for achieving precision medicine.”