Showing 401 - 420 results of 1,060 for search 'operator’s activity algorithm', query time: 0.11s Refine Results
  1. 401

    Simulation of a double-circuit subordinated coordinate regulation system of the active po wer factor corrector for the electric locomotive auxiliary electric drive by M. Yu. Pustovetov

    Published 2022-06-01
    “…The obtained data serve as the basis for further improvement of the active power factor corrector operation by improving and optimising the settings, structure and algorithms of the control system, which, with the selected hardware components of the power unit, will enable it to perform its functions with a high degree of reliability in the entire range of disturbing and controlling actions on board of an electric locomotive.…”
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  2. 402

    On the issue of coordination of the activities of forces and means of organizations and institutions of the Federal Medical and Biological Agency of Russia and Rospotrebnadzor in e... by A. S. Samoilov, I. K. Romanovich, M. I. Grachev, Yu. A. Salenko, A. N. Barkovsky, V. S. Repin, L. S. Bogdanova

    Published 2019-10-01
    “…The possible types of radiation accidents that may require joint activities of the bodies and institutions of Rospotrebnadzor and FMBA of Russia are considered. …”
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  3. 403

    The Automatable Activity–Based Approach to Complexity Unit Scoring as a task-specific model approach to monetizing outcomes of pathology artificial intelligence solutions by Stavros Pantelakos, Martha Nifora, Georgios Agrogiannis

    Published 2025-07-01
    “…A hundred and thirty-two prostate core biopsy samples were encoded for workload using the Automatable Activity–Based Approach to Complexity Unit Scoring. …”
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  4. 404

    Oxidative stress-related genes in uveal melanoma: the role of CALM1 in modulating oxidative stress and apoptosis and its prognostic significance by Yue Wu, Xiaoyan Cai, Menghan Hu, Runyan Cao, Yong Wang

    Published 2025-08-01
    “…Protein–protein interaction (PPI) networks were constructed to identify hub genes, and machine learning algorithms were utilized to screen for diagnostic genes, employing methods such as least absolute shrinkage and selection operator (LASSO) regression, random forest, support vector machine (SVM), gradient boosting machine (GBM), neural network algorithm (NNET), and eXtreme gradient boosting (XGBoost). …”
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  5. 405

    Voltage-Based Load Recognition and Its Integration Into an Application Use Case by Henning Schlachter, Stefan Geisendorfer, Holger Behrends, Karsten Von Maydell, Carsten Agert

    Published 2025-01-01
    “…The corresponding control algorithm manages the power flow between a PV-battery system and the grid in conjunction with a static Q(U) algorithm. …”
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  6. 406

    Identification of ferroptosis-related gene signatures in temporal lobe epilepsy with hippocampal sclerosis by Fan Gao, Jinzi Li

    Published 2025-04-01
    “…We used weighed gene co-expression network analysis (WGCNA) algorithm, single-factor logistic regression analysis, and LASSO algorithm to screen characteristic FR-DEGs. …”
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  7. 407

    Joint user plane function instance and base station scheduling in mobile networks by Seokwon Jang, Namseok Ko, Jaewook Lee, Yeunwoong Kyung, Haneul Ko

    Published 2024-12-01
    “…To guarantee a high data transmission rate in heterogeneous mobile networks, sufficient small base stations (SBSs) and user plane function (UPF) instances should be active. However, the excessive operation of SBSs and UPF instances can increase the operating expenditure (OPEX) for the network operator. …”
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  8. 408
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  10. 410

    Underground electronic fence system based on UWB technology by Kai TAN, Yu HU, Jianbo DAI

    Published 2025-08-01
    “…A smart card reader with multi-modal data fusion capabilities was designed to integrate UWB ranging, AI video analytics, and near-field sensing terminal data, enabling hierarchical control of personnel identification cards, audible-visual alarms, and power-off protection devices through a scenario state assessment algorithm. Experimental validation demonstrated a system response time below 2 seconds for rapid alarm activation and equipment shutdown when personnel approach hazardous zones, a bidirectional alert success rate of 99.3% ensuring simultaneous warnings to workers and equipment operators, a false alarm rate controlled within 0.2% to prevent erroneous shutdowns, and a wireless data transmission success rate of 99.1%, providing a stable redundant channel for hazard warnings and shutdown data in complex underground environments.…”
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  11. 411

    A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools by Yanjun Shi, Chengjia Yu, Shiduo Ning

    Published 2025-06-01
    “…To enhance search efficiency, a two-stage neighborhood search strategy is developed: the first stage extends the k-insertion search to facilitate operation movement across different machine configurations, while the second stage refines operations within the same configuration. …”
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  12. 412

    Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

    Published 2019-10-01
    “…The paper lists eight algorithms. The developed algorithms are evaluated. …”
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  13. 413
  14. 414

    Problems of legal regulation of start-ups in Ukraine by I. V. Lysenko, А. M. Lysenko, L. V. Perevalova

    Published 2023-07-01
    “…The article is devoted to the study of the theoretical and legal nature of start-ups, their features, and the legal algorithm of their creation, operation, and termination of activities, with due regard to the existing legislative provisions and doctrinal developments. …”
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  15. 415

    PEDAGOGICAL ASPECTS OF PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN GRAPHIC DESIGN by Ju Dongting

    Published 2020-12-01
    “…One of the components of the formation of professional competence of students in teaching graphic design is the algorithm of actions in the creation of design projects. …”
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  16. 416

    Performances Comparison for a Rotating Shaft Suspended by 4-Axis Radial Active Magnetic Bearings via 𝜇-Synthesis, Loop-Shaping Design, and Sub(𝐻)∞with Uncertainties by G. Barbaraci, G. Virzi' Mariotti

    Published 2011-01-01
    “…The first controller implemented for this purpose is PID controller that is characterized by an algorithm that leads the amplifier to produce control current until the operating point condition is not reached, this is obtained by an integration operator. …”
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  17. 417

    Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market by Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, Saumya Singh, Baseem Khan, R. K. Saket

    Published 2022-01-01
    “…The proposed hybrid Deep Neural Network is a cascaded combination of modified back-propagation (BP) algorithm based ANN as screening module and Deep NN as GR module. …”
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  18. 418

    FPGA Acceleration With Hessian-Based Comprehensive Intra-Layer Mixed-Precision Quantization for Transformer Models by Woohong Byun, Jongseok Woo, Saibal Mukhopadhyay

    Published 2025-01-01
    “…To support this algorithm, we design a multi-precision FPGA accelerator capable of handling both 2n-based and non-2n mixed-precision operations. …”
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  19. 419

    Artificial Intelligence for data modeling in triboelectric nanogenerators by Chenjia Li, Ali Matin Nazar

    Published 2025-09-01
    “…Application cases discussed include AI-powered triboelectric smart socks achieving 96.67 % activity recognition accuracy, soft robotic grippers with 98.1 % object identification precision, and wearable pulse sensors for continuous blood pressure monitoring using personalized machine learning algorithms. …”
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  20. 420

    Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive by Elena Pastorelli, Alper Yegenoglu, Alper Yegenoglu, Nicole Kolodziej, Nicole Kolodziej, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz-Pier, Johan Frederik Storm, Pier Stanislao Paolucci

    Published 2025-05-01
    “…This work provides the computational community with a two-compartment spiking neuron model that supports the proposed forms of brain-state-specific activity. A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …”
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