Showing 1,321 - 1,340 results of 2,028 for search 'automatic computational system', query time: 0.13s Refine Results
  1. 1321

    RESEARCH FEATURES OF AEROELASTIC OSCILLATIONS OF UNMANNED AERIAL VEHICLES WITH ELECTRIC ACTUATOR OF RUDDERS by A. V. Bykov, S. G. Parafes, V. I. Smyslov

    Published 2018-08-01
    “…Since UAVs are essentially not used without an automatic control system (ACS), its presence must be taken into account when considering the vibrations of an elastic structure in flight. …”
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    Article
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    基于BP神经网络的汽车变速箱试验台开发与试验研究 by 杨正才, 黄兵锋

    Published 2014-01-01
    “…A universal online detection test-bed of transmission is developed,the automatic shift of transmission is realized by the test-bed using the industry control computer control mechanical arm.Data analysis model is established based on neural network algorithm,and neural network training is completed by the gradient descent method.The network can discriminate transmission quality successfully.The establishment of expert system is good to solve nonlinear problems of shift strategy and determine the gear parameters accurately.The fatigue test,transmission efficiency test and other test items can be completed by the test-bed.The system has good reliability,high intelligence and has the good application value in the aspect of automatic detection and fault diagnosis of gearbox.…”
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  4. 1324

    A HYBRID APPROACH FOR MALARIA CLASSIFICATION USING CNN-BASED FEATURE EXTRACTION AND TRADITIONAL MACHINE LEARNING CLASSIFIERS by omar Mohammed Alzakholi, Walat A. Ahmed, Bafreen N. Mohammed, Asaad Kh. Ibrahim

    Published 2025-07-01
    “…It holds promise for deployment into resource-limited settings where fast, automated threading diagnostic systems are much needed …”
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    Article
  5. 1325

    Abnormal heart sound recognition using SVM and LSTM models in real-time mode by Moy’awiah A. Al-Shannaq, Areen Nasrawi, Abed Al-Raouf K. Bsoul, Ahmad A. Saifan

    Published 2025-03-01
    “…Many experts concentrate on diagnosing the heart by automatic digital auscultation systems which find various distinguishable characteristics for heart sound classifications. …”
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    Article
  6. 1326

    Microwave-Convective Processing of Whipped Bread: Mathematical Modeling by Anatoly A. Khvostov, Gazibeg O. Magomedov, Victor I. Ryazhskih, Aleksey A. Zhuravlev, Magomed G. Magomedov, Inessa V. Plotnikova, Aleksei S. Taratukhin

    Published 2024-03-01
    “…The mathematical model and the computational experiment can be used to identify static and dynamic characteristics of baking as an object of automatic control, i.e., to identify optimal control channels and actions, as well as to adjust the automatic control system to specific quality indicators.…”
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  7. 1327

    A Novel Method for Vessel Trajectory Clustering Based on Three-Dimensional Triangulation Division Algorithm by Kai Xu, Rui Wang, Qikai Gao, Jingjing Tan

    Published 2025-01-01
    “…Automatic identification system (AIS) performs vital functions in vessel collision avoidance and maritime security. …”
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    Article
  8. 1328

    Prevention or Promotion? Predicting Author's Regulatory Focus by Aswathy Velutharambath, Kai Sassenberg, Roman Klinger

    Published 2023-09-01
    “…Traditionally, text analysis methods using closed-vocabularies are employed to assess the distinctive linguistic patterns associated with the two systems. From an NLP perspective, automatically detecting the regulatory focus of individuals from text provides valuable insights into the behavioral inclinations of the author, finding its applications in areas like marketing or health communication. …”
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    Seismic Response Analysis Method of Damping Structures Based on the Inter-history Iteration and Secondary Development of ABAQUS by JIA Chuanguo, QUAN Ziyu, CHEN Xi, LI Yutao

    Published 2025-05-01
    “…The equivalent linearization method provides a more tractable alternative by linearizing the system and incorporating stiffness and damping proportional to the response level. …”
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  13. 1333

    Comparative Analysis of T5 Model Performance for Indonesian Abstractive Text Summarization by Mohammad Wahyu Bagus Dwi Satya, Ardytha Luthfiarta, Mohammad Noval Althoff

    Published 2025-05-01
    “…Conversely, T5-Base, while achieving the highest accuracy, requires significantly longer training time and greater computational resources. These findings highlight the trade-offs between accuracy, error tendencies, and computational efficiency, providing valuable insights for developing more effective Indonesian language summarization systems and emphasizing the importance of model selection for specific language tasks.…”
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  14. 1334

    Triplet Spatial Reconstruction Attention-Based Lightweight Ship Component Detection for Intelligent Manufacturing by Bocheng Feng, Zhenqiu Yao, Chuanpu Feng

    Published 2025-08-01
    “…Automatic component recognition plays a crucial role in intelligent ship manufacturing, but existing methods suffer from low recognition accuracy and high computational cost in industrial scenarios involving small samples, component stacking, and diverse categories. …”
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    Dynamic damping under introduction of additional couplings and external actions by S. V. Eliseev, A. S. Mironov, Quang Truc Vuong

    Published 2019-04-01
    “…It is believed that the mechanical oscillating system, considered as a design model of a technical object, can be compared to the dynamically equivalent automatic control system. …”
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    Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

    Published 2025-06-01
    “…Therefore, to help with patients' long-term assessment and treatment, an effective automatic detection system is required. Traditional methods of machine learning require step of feature extraction by manual which leads to time consuming, for it we modified in one-Dimensional convolution neural network architecture for features extraction and features dimension reduction for makes the classification low computational complexity and more accurate.Methods: In this study, we did a comparison between three methods for classification: support vector machine, artificial neural network and one-dimensional convolution neural network. …”
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