Showing 181 - 200 results of 6,888 for search '"machines"', query time: 0.05s Refine Results
  1. 181

    Detecting Invalid Associations between Fare Machines and Metro Stations Using Smart Card Data by Pengfei Zhang, Zhenliang Ma, Xiaoxiong Weng

    Published 2021-01-01
    “…This paper deals with an invalid data problem in the automated fare collection (AFC) database caused by the erroneous association between the fare machines and metro stations, e.g., a fare machine located at Station A is wrongly associated with Station B in the AFC database. …”
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  2. 182

    Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization by Kuan-Cheng Lin, Yi-Hung Huang, Jason C. Hung, Yung-Tso Lin

    Published 2015-07-01
    “…The basic CSO algorithm was integrated with a local search procedure as well as the feature selection and parameter optimization of support vector machines (SVMs). Experiment results demonstrate the superiority of MCSO in classification accuracy using subsets with fewer features for given UCI datasets, compared to the original CSO algorithm. …”
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    IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface Method by Pawenary pawenary, Hendri Hendri, Dwi Listiawati, Andi Dyah Harum Hardyanti, Yessy Asri, Anton Satria Prabuwono

    Published 2025-01-01
    “…To manage waste efficiently and sustainably, Integrating Algoritma Bellman-Ford in IoT-Based Control Systems for Household Waste Management Machines, the use of automation technologies based on the Internet of Things (IoT) is becoming increasingly relevant. …”
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    Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms by Nurezayana Zainal, Mohanavali Sithambranathan, Umar Farooq Khattak, Azlan Mohd Zain, Salama A. Mostafa, Ashanira Mat Deris

    Published 2024-03-01
    “… Because of its versatility and ability to work with difficult materials, Electrical Discharge Machining (EDM) has become an essential tool in many different industries. …”
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    A CT machine for inspection of Parmigiano Reggiano PDO by Alice Presenti, Cosimo Lorenzetto, Francesco Tortoli, Lorenzo Mascii, Leonardo Manetti, Sandro Bettini, Giorgia Stocco, Alessandro Ferragina, Claudio Cipolat Gotet, Andrea Summer

    Published 2025-02-01
    “…To this aim, a customized cone-beam computed tomography (CBCT) machine was developed which captures both single digital radiographs (DRs) and computed tomoraphy (CT) images and represents a valid non-destructive and rapid tool. …”
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    Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

    Published 2025-01-01
    “…Results: The random forest regressor (MAE: 0.416 mSv; MAPE: 7%; and R<sup>2</sup>: 0.98) showed best performances over the neural network and the support vector machine. However, all three machine learning algorithms outperformed effective dose estimation using k-factors (MAE: 2.06; MAPE: 26%) or multiple linear regression (MAE: 0.98; MAPE: 44.4%). …”
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  20. 200

    Simulation of Electromagnetic Field of a Powerful Electrical Machine by D. I. Hvalin, O. H. Kensytskyi, K. O. Kobzar

    Published 2021-04-01
    “…In mathematical modeling, a sequential logical transition is applied from a simple model of the central part of the machine to a more complex model of the end zone using preliminary results, which makes it possible to obtain data on the distribution of the electromagnetic field in complex areas. …”
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