Showing 481 - 500 results of 3,408 for search 'process control features', query time: 0.19s Refine Results
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    Features of Bone Mineral Density, Calcium-Phosphorus Metabolism and Bone Remodeling in Patients with Systemic Lupus Erythematosus by L. Tsyhanyk, O. Khuchlina, V. Ivachevska, N. Grechkivska, M. Panasiuk, L. Kobak

    Published 2024-06-01
    “…No significant difference were detected in between the mean values of P1NP in SG, CG and control. The mean values of β-cross laps were significantly higher in patients with SLE (0.51 ± 0.02 ng/ml) compared to GC (0.26 ± 0.02 ng/ ml) and control (0.28 ± 0.02 ng/ml), p < 0.001. …”
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    Cocoa bean quality identification using a computer vision-based color and texture feature extraction by Basri Basri, Indrabayu Indrabayu, Andani Achmad, Intan Sari Areni

    Published 2025-02-01
    “…The current pressing issue in the downstream processing of cocoa beans in cocoa production is a strict quality control system. …”
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    Ontology of functional synergetics in virtual cognitive-semiotic design of information processes and systems by R. G. Bolbakov, V. A. Mordvinov, P. V. Berezkin, I. I. Sivitsky

    Published 2022-03-01
    “…Matching form to content, autopoiesis, development, and transformations occurring with informational processes and systems with their emergent consequences are the essence and feature of functional synergetics. …”
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  10. 490

    Segurança e produção: um modelo para o planejamento e controle integrado Safety and production: an integrated planning and control model by Tarcisio A. Saurin, Carlos T. Formoso, Lia B. M. Guimarães

    Published 2002-01-01
    “…Safety requirements are integrated into three hierarchical levels of planning and control process. At the long-term level, safety planning is featured by preliminary hazard analysis of construction processes. …”
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    Improved Deep Support Vector Data Description Model Using Feature Patching for Industrial Anomaly Detection by Wei Huang, Yongjie Li, Zhaonan Xu, Xinwei Yao, Rongchun Wan

    Published 2024-12-01
    “…In industrial contexts, anomaly detection is crucial for ensuring quality control and maintaining operational efficiency in manufacturing processes. …”
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    Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical Neurons. by Nicol S Harper, Oliver Schoppe, Ben D B Willmore, Zhanfeng Cui, Jan W H Schnupp, Andrew J King

    Published 2016-11-01
    “…The network receptive field reveals separate excitatory and inhibitory sub-fields with different nonlinear properties, and interaction of the sub-fields gives rise to important operations such as gain control and conjunctive feature detection. The conjunctive effects, where neurons respond only if several specific features are present together, enable increased selectivity for particular complex spectrotemporal structures, and may constitute an important stage in sound recognition. …”
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    Near-random connections support top-down feature-based attentional modulations in early sensory cortex. by Sunyoung Park, John T Serences

    Published 2025-08-01
    “…To investigate this issue, we adapted a spiking neural network model with a first 'sensory' layer composed of neurons selective for single features. Neurons in a second 'control' layer formed random and reciprocal connections with different sensory neurons, giving rise to PFC-like high-dimensional feature tuning. …”
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  19. 499

    MFCEN: A lightweight multi-scale feature cooperative enhancement network for single-image super-resolution by Jiange Liu, Yu Chen, Xin Dai, Li Cao, Qingwu Li

    Published 2024-10-01
    “…While extracting the three scales of features, a satisfiability attention mechanism with a feed-forward network that can control the information was used to keep the network lightweight. …”
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    Advances in Data Pre-Processing Methods for Distributed Fiber Optic Strain Sensing by Bertram Richter, Lisa Ulbrich, Max Herbers, Steffen Marx

    Published 2024-11-01
    “…An artificial but realistic benchmark data set simulating different measurement scenarios is used to discuss the features of these algorithms. A flexible and modular pre-processing workflow is implemented and made available with the algorithms. …”
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