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    New Machine Learning Research Has Been Reported by Researchers at COMSATS Univer sity Islamabad (Advancing Healthcare and Elderly Activity Recognition: Active Ma chine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition)

    10-11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 reportingfrom Islamabad, Pakistan, by NewsRx journalists, research stated, “This research explores the potential ofte chnologies in human activity recognition among the elderly population.”

    LMU University Hospital Reports Findings in Machine Learning (Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidep ressants, and mood stabilizers: A machine learning approach)

    11-12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 newsoriginating from Munich, Germany, by Ne wsRx correspondents, research stated, “Weight gain is a commonside effect in ps ychopharmacology; however, targeted therapeutic interventions and prevention str ategiesare currently absent in day-to-day clinical practice. To promote the dev elopment of such strategies, theidentification of factors indicative of patient s at risk is essential.”

    Findings on Machine Learning Reported by Investigators at University of Nottingh am (Design of Formulated Fragrant Products Using Rough Set Machine Learning and Molecular Design Tools)

    12-13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 Machine Learn ing have been published. According to newsreporting originating from Selangor, Malaysia, by NewsRx correspondents, research stated, “Fragrance isa desirable a nd often significant quality in various personal care products. While the compon ents offragrance -based products may initially be unknown, their intended attri butes and functions are typicallywell understood.”

    Studies from Technical University Chemnitz (TU Chemnitz) in the Area of Robotics and Automation Described (Local Positional Graphs and Attentive Local Features for a Data and Runtimeefficient Hierarchical Place Recognition Pipeline)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics - Roboti cs and Automation are discussed in a newreport. According to news reporting fro m Chemnitz, Germany, by NewsRx journalists, research stated,“Large-scale applic ations of Visual Place Recognition (VPR) require computationally efficient appro aches.Further, a well-balanced combination of data-based and training-free appr oaches can decrease the requiredamount of training data and effort and can redu ce the influence of distribution shifts between the trainingand application pha ses.”

    Study Findings on Machine Learning Discussed by Researchers at Anna University ( Comprehensive study on the Python-based regression machine learning models for p rediction of uniaxial compressive strength using multiple parameters in Charnockite …)

    14-15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 Anna Universit y by NewsRx correspondents, research stated, “The strength of rock underuniaxia l compression, commonly known as Uniaxial Compressive Strength (UCS), plays a cr ucial role invarious geomechanical applications such as designing foundations, mining projects, slopes in rocks, tunnelconstruction, and rock characterization .”

    Findings from North Carolina State University (NC State) Update Knowledge of Rob otics (Defected Twisted Ring Topology for Autonomous Periodic Flip-spin-orbit Soft Robot)

    15-16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 reportingfrom Raleigh, North Carolina, by Ne wsRx journalists, research stated, “Periodic spin-orbit motion isubiquitous in nature, observed from electrons orbiting nuclei to spinning planets orbiting the Sun. Achievingautonomous periodic orbiting motions, along circular and noncirc ular paths, in soft mobile robotics iscrucial for adaptive and intelligent expl oration of unknown environments-a grand challenge yet to beaccomplished.”

    Study Results from Zhejiang University of Technology Provide New Insights into M achine Learning (Deepinsight: Topology Changes Assisting Detection of Adversarial Samples On Graphs)

    16-16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 Machine Learn ing have been published. According to newsreporting from Hangzhou, People’s Rep ublic of China, by NewsRx journalists, research stated, “Withthe rapid developm ent of artificial intelligence, a number of machine learning algorithms, such as graphneural networks (GNNs), have been proposed to facilitate network analysis or graph data mining. Althougheffective, recent studies show that these advanc ed methods may suffer from adversarial attacks, i.e., theymay lose effectivenes s when only a small fraction of links are unexpectedly changed.”

    Investigators at Zhongnan University of Economics & Law Detail Fin dings in Machine Learning (Machine Learning for a Class of Partial Differential Equations With Multi-delays Based On Numerical Gaussian Processes)

    17-17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 Hubei, People’s Re public of China, by NewsRx correspondents, research stated, “Delaypartial diffe rential equations (PDEs) are widely utilized in many fields, such as climate pre diction andepidemiology. But observation data in real world is often noisy and discrete.”

    Findings from Sri Sivasubramaniya Nadar College of Engineering Update Knowledge of Machine Learning (Exploring Mc-silicon Wafers: Utilizing Machine Learning To Enhance Wafer Quality Through Etching Studies)

    18-19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 Tamil Nadu, India, by NewsRx editors, research stated, “This paper provides a method for improving the photov oltaic conversion efficiency and optical attributes of silicon solar cells manuf actured from as-cutboron doped p-type multi-crystalline silicon wafers using ac id-based chemical texturization via machinelearning. A decreased reflectance, w hich can be attained by the right chemical etching conditions, is oneof the key elements for raising solar cell efficiency.”

    New Artificial Intelligence Study Findings Recently Were Published by a Research er at Technical University Berlin (TU Berlin) (Cultivating Dignity in Intelligent Systems)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news reportingoriginating from Berlin, Ger many, by NewsRx correspondents, research stated, “As artificial intelligence(AI ) integrates across social domains, prevailing technical paradigms often overloo k human relationalneeds vital for cooperative resilience.”