首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    New Data from North China Electric Power University Illuminate Findings in Power and Energy Systems (Power Grid Fault Diagnosis Based On Deep Pyramid Convolutional Neural Network)

    12-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Energy-Power and Energy Systems are presented in a new report. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Existing power gridfault diagnosis methods rely on manual experience to design diagnosis models, lack the ability to extractfault knowledge, and are difficult to adapt to complex and changeable engineering sites. Considering thissituation, this paper proposes a power grid fault diagnosis method based on a deep pyramid convolutionalneural network for the alarm information set.”

    Studies from Capital Medical University Yield New Information about Mathematics (Cascade Human Activity Recognition Based On Simple Computations Incorporating Appropriate Prior Knowledge)

    13-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Research findingson Mathematics are discussed in a new report. According to news reporting originating in Beijing, People’sRepublic of China, by NewsRx journalists, research stated, “The purpose of Human Activities Recognition(HAR) is to recognize human activities with sensors like accelerometers and gyroscopes. The normalresearch strategy is to obtain better HAR results by finding more efficient eigenvalues and classificationalgorithms.”

    Findings from University of Santiago of Chile (USACH) Provide New Insights into Robotics (A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks)

    14-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - New studyresults on robotics have been published. According to news originating from Santiago, Chile, by NewsRxcorrespondents, research stated, “This paper investigates spiking neural networks (SNN) for novel roboticcontrollers with the aim of improving accuracy in trajectory tracking.”Our news editors obtained a quote from the research from University of Santiago of Chile (USACH):“By emulating the operation of the human brain through the incorporation of temporal coding mechanisms,SNN offer greater adaptability and efficiency in information processing, providing significant advantagesin the representation of temporal information in robotic arm control compared to conventional neuralnetworks. Exploring specific implementations of SNN in robot control, this study analyzes neuron modelsand learning mechanisms inherent to SNN. Based on the principles of the Neural Engineering Framework(NEF), a novel spiking PID controller is designed and simulated for a 3-DoF robotic arm using Nengoand MATLAB R2022b. The controller demonstrated good accuracy and efficiency in following designatedtrajectories, showing minimal deviations, overshoots, or oscillations. A thorough quantitative assessment,utilizing performance metrics like root mean square error (RMSE) and the integral of the absolute value ofthe time-weighted error (ITAE), provides additional validation for the efficacy of the SNN-based controller.”

    Studies from Nanjing University of Posts and Telecommunications Reveal New Findings on Information Technology (A Fault Diagnosis Method for 5G Cellular Networks Based on Knowledge and Data Fusion)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Currentstudy results on information technology have been published. According to news reporting originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “As 5G networksbecome more complex and heterogeneous, the difficulty of network operation and maintenance forcesmobile operators to find new strategies to stay competitive.”Funders for this research include Natural Science Foundation of China; Key R&D Plan of JiangsuProvince; Postgraduate Research & Practice Innovation Program of Jiangsu Province.

    Reports from Beijing Jiaotong University Highlight Recent Findings in Networks (Successive Lag Synchronization of Heterogeneous Distributed-order Coupled Neural Networks With Unbounded Delayed Coupling)

    15-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Networks. According to news reporting originating from Beijing, People’s Republicof China, by NewsRx correspondents, research stated, “The problem of successive lag synchronization(SLS) for heterogeneous distributed-order coupled neural networks (HDOCNNs) with unbounded delayedcoupling is investigated in this paper. Firstly, a model for HDOCNNs under the framework of distributedorder Caputo derivative is proposed which is the generalization of integer order and fractional order cases.”

    Findings from Amirkabir University of Technology Update Understanding of Machine Learning (A Comparative Study of the Xgboost Ensemble Learning and Multilayer Perceptron In Mineral Prospectivity Modeling: a Case Study of the Torud-chahshirin …)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Current studyresults on Machine Learning have been published. According to news originating from Tehran, Iran, byNewsRx correspondents, research stated, “Precisely selecting the exploration criteria and building robustmachine-learning models are two critical issues for enhancing the efficiency of mineral prospectivity mapping(MPM) for delimiting highly favorable mineralization zones. The efficient exploration features linked togeochemical, geological, and remote sensing criteria were distinguished in the Torud-Chahshirin (TCS)volcano-intrusive belt, NE Iran using success-rate curves.”

    New Networks Study Results Reported from University of California Los Angeles (UCLA) (Distilled Non-semantic Speech Embeddings With Binary Neural Networks for Low-resource Devices)

    17-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Networks are presented in a new report. According to news reporting originating from Los Angeles,California, by NewsRx correspondents, research stated, “This work introduces BRILLsson, a novel binaryneural network-based representation learning model for a broad range of non-semantic speech tasks.”Financial support for this research came from National Science Foundation (NSF).Our news editors obtained a quote from the research from the University of California Los Angeles(UCLA), “We train the model with knowledge distillation from a large and real-valued TRILLsson modelwith only a fraction of the dataset used to train TRILLsson. The resulting BRILLsson models are only2MB in size with a latency less than 8 ms, making them suitable for deployment in low-resource devicessuch as wearables.”

    New Findings Reported from Vellore Institute of Technology University Describe Advances in Networks (A Convolutional Neural Network Framework To Design Power System Stabilizer for Damping Oscillations In Multi-machine Power System)

    18-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - New researchon Networks is the subject of a report. According to news reporting originating from Tamil Nadu, India,by NewsRx correspondents, research stated, “Modern power system networks are inherently complex andsusceptible to a range of undesirable events, such as line and generator outages, transmission line faults,and power oscillations. These power oscillations arise following disturbances, causing generators to oscillatein relation to one another.”

    Investigators from University of Rijeka Target Nanotubes (A Computational Framework for Nanotrusses: Input Convex Neural Networks Approach)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Researchersdetail new data in Nanotechnology-Nanotubes. According to news reporting originating in Rijeka, Croatia,by NewsRx journalists, research stated, “The present research aims to provide a practical numerical toolfor the mechanical analysis of nanoscale trusses with similar accuracy to molecular dynamics (MD). As afirst step, MD simulations of uniaxial tensile and compression tests of all possible chiralities of single-walledcarbon nanotubes up to 4 nm in diameter were performed using the AIREBO potential.”Financial support for this research came from Croatian Science Founda-tion.

    Investigators from Guizhou Normal University Target Networks (Visualization for Explanation of Deep Learning-based Fault Diagnosis Model Using Class Activation Map)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Investigatorsdiscuss new findings in Networks. According to news reporting from Guiyang, People’s Republic of China,by NewsRx journalists, research stated, “Permanent magnet synchronous motor (PMSM) is widely usedin various production processes because of its high efficiency, fast reaction time, and high power density.With the continuous promotion of new energy vehicles, timely detection of PMSM faults can significantlyreduce the accident rate of new energy vehicles, further enhance consumers’ trust in their safety, and thuspromote their popularity.”