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    Findings on Robotics Reported by Investigators at Jilin University (Adaptive Trajectory Compensation of Large Inertia Robot)

    10-11页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are discussed in a new report. According to news reporting originating in Jilin, People’s Republic of China, by NewsRx journalists, research stated, “The electro-hydraulic controlled bionic robots suffer from path contour deviation, which is affected by inertia, system lag, and control system accuracy. The focus of this paper is on the study of a data-driven system for the compensation of errors in the robot’s internal arithmetic model and its own motion.” Financial support for this research came from National Key Research and Development Program of China.

    University of Leuven (KU Leuven) Reports Findings in Support Vec- tor Machines (Protocol to train a support vector machine for the automatic curation of bacterial cell detections in microscopy im- ages)

    11-11页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Support Vector Machines is the subject of a report. According to news originating from Leuven, Belgium, by NewsRx correspondents, research stated, “Manual curation of bacterial cell detections in microscopy images remains a time-consuming and laborious task. This work offers a comprehensive, step-by-step tutorial on training a support vector machine to autonomously distinguish between good and bad cell detections.” Our news journalists obtained a quote from the research from the University of Leuven (KU Leuven), “Jupyter notebooks are included to perform feature extraction, labeling, and training of the machine learning model. This method can readily be incorporated into profiling pipelines aimed at extracting a multitude of features across large collections of individual cells, strains, and species.”

    New Machine Learning Study Findings Have Been Reported by Re- searchers at Air Force Engineering University (Closed-loop Plasma Flow Control of a Turbulent Cylinder Wake Flow Using Machine Learning At Reynolds Number of 28 000)

    12-12页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Machine learning is increasingly used for active flow control. In this experimental study, alternating-current dielectric barrier discharge plasma actuators are deployed for the closed-loop intelligent control of the flow around a cylinder at a Reynolds number of 28 000 based on the velocity feedback from two hot-wire sensors placed in the wake.” Funders for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC), Foundation Strengthening Programme, Foundation Science Programme.

    Flinders University Reports Findings in Artificial Intelligence (A pilot study of the perceptions and acceptability of guidance using artificial intelligence in internet cognitive behaviour therapy for perfectionism in young people)

    13-13页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news re- porting from Adelaide, Australia, by NewsRx journalists, research stated, “Perfectionism is a transdiagnostic process associated with a range of psychological disorders. Cognitive Behaviour Therapy for Perfectionism (CBT-P) has been demonstrated as efficacious across guided and unguided internet delivered interventions in reducing perfectionism and psychopathology.” The news correspondents obtained a quote from the research from Flinders University, “The aim of this pilot study was to understand perceptions and acceptability of an artificial intelligence supplemented CBT-P intervention (AI-CBT-P) in young people with lived experience of anxiety and depression (n = 8; age range 19-29 years, = 24 years, = 3.77; 50 % female, 38 % male, 12 % non-binary). Young people reported that they were frequent users of artificial intelligence for study, work and general information, were positive about the intervention and using artificial intelligence for guidance in a self-help intervention, but also noted several concerns. Young people perceived numerous benefits to AI-CBT-P, including ease of access, low cost, lack of stigma and benefits for individuals with social anxiety. Overall, young people appear to be interested in, and have a positive view of, AI-CBT-P.”

    Findings from Carleton University Yields New Data on Robotics (Robot-mounted Sensing and Local Calibration for High-accuracy Manufacturing)

    13-14页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news reporting from Ottawa, Canada, by NewsRx journalists, research stated, “Positional accuracy is critically important for application of industrial robots in fixtureless precision manufacturing; thus, this paper presents a method for simultaneously calibrating the kinematic parameters of robot and robot-mounted measurement devices. In the modeling step, the Modified Denavit-Hartenberg parameters are extended to include the world and tool frames within a minimal parameter set using a systematic approach.” Funders for this research include Natural Sciences and Engineering Research Council of Canada (NSERC), Arnprior Aerospace Inc. (AAI).

    Data on Bioinformatics Reported by Anna Zhao and Colleagues (Exploring the potential link between MitoEVs and the immune microenvironment of periodontitis based on machine learning and bioinformatics methods)

    14-15页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinformatics is the subject of a report. According to news reporting from Yunnan, People’s Republic of China, by NewsRx journalists, research stated, “Pe- riodontitis is a chronic inflammatory condition triggered by immune system malfunction. Mitochondrial extracellular vesicles (MitoEVs) are a group of highly heterogeneous extracellular vesicles (EVs) enriched in mitochondrial fractions.”

    Research from University of Medicine and Pharmacy 'Grigore T. Popa' Iasi Has Provided New Study Findings on Artificial Intelli- gence (Specialized Manual Therapy Techniques which Can Improve Neuromotor Outcome in Patients with Foot-Drop Syndrome)

    16-16页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting out of the University of Medicine and Pharmacy “Grigore T. Popa” Iasi by NewsRx editors, research stated, “Functional rehabilitation of foot-drop syndrome due to lumbar disc herniation it is a problem that concerns many researchers. Study objective was to investigate if specialized manual therapy techniques and functional electrical stimulation alone and combined can influence the overall neuromotor outcome.”

    Affiliated Hospital of Youjiang Medical University for Nationalities Reports Findings in Cervical Cancer (Exploring a novel seven-gene marker and mitochondrial gene TMEM38A for predicting cervical cancer radiotherapy sensitivity using machine ...)

    17-18页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Oncology - Cervical Cancer is the subject of a report. According to news reporting originating in Baise, People’s Republic of China, by NewsRx journalists, research stated, “Radiotherapy plays a crucial role in the management of Cervical cancer (CC), as the development of resistance by cancer cells to radiotherapeutic interventions is a significant factor contributing to treatment failure in patients. However, the specific mechanisms that contribute to this resistance remain unclear.”

    Research Study Findings from Harbin Institute of Technology Up- date Understanding of Machine Learning (Review of the application of modeling and estimation method in system identification for non- linear state-space models)

    18-19页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intelligence have been published. According to news originating from Harbin, People’s Republic of China, by NewsRx editors, the research stated, “Nonlinear state-space models (SSMs) are widely used to model actual industrial processes. System identification is an important method to reduce the uncertainty of the simulation model.” Financial supporters for this research include National Natural Science Foundation of China. The news reporters obtained a quote from the research from Harbin Institute of Technology: “In recent years, system identification has been greatly improved with the rise of machine learning. However, there are a few reviews on the latest identification methods based on machine learning. Therefore, this paper focuses on the latest development of identification methods for nonlinear SSM in recent years. In particular, this paper comprehensively compares the identification methods based on traditional methods and machine learning. In addition, according to the type of uncertainty, we divided the paper into the parameter’s identification and the identification of unknown parts of the model. Compared with the classification of other reviews, our classification method is clearer. Briefly, this paper organizes the review according to the classification of uncertainty. Each type is extended from offline identification to online identification. Specifically, interval identification and point estimation methods are reviewed for offline parameter identification. For online parameter identification, point estimation methods are reviewed.”

    New Robotics Study Findings Have Been Reported by Researchers at Norwegian University of Science and Technology (NTNU) (Data- Efficient Reinforcement Learning for Variable Impedance Control)

    19-20页
    查看更多>>摘要:2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented in a new report. According to news reporting originating from Trondheim, Norway, by NewsRx correspondents, research stated, “One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more energy efficient.” Financial supporters for this research include “dynamic Robot Interaction And Motion Compensation”; Research Council of Norway; Basque Government.