Showing 9,721 - 9,740 results of 25,128 for search 'detection (process OR programs)', query time: 0.27s Refine Results
  1. 9721

    Microperimetry in Children’s Practice by R. R. Khubieva

    Published 2021-12-01
    “…Child health is a global health priority. The program “Elimination of Eliminable Blindness in the World of Vision-2020” gives the fourth place to the problems of pediatric ophthalmopathology and creates targeted programs for their elimination. …”
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    Article
  2. 9722

    Recent aspects of metapneumovirus in broiler/ review by aymen Al-Alhially

    Published 2023-09-01
    “…Biosecurity programs of vaccination are effective for controlling of disease. …”
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    Article
  3. 9723

    NOVOMIR: De Novo Prediction of MicroRNA-Coding Regions in a Single Plant-Genome by Jan-Hendrik Teune, Gerhard Steger

    Published 2010-01-01
    “…We describe NOVOMIR, a program for the identification of miRNA genes in plant genomes. …”
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    Article
  4. 9724

    A Method for Predicting Coupling Laws of UWB EMP to Millimeter Wave Detector by Kaibai Chen, Min Gao

    Published 2022-01-01
    “…The millimeter wave detector has been widely applied in short-range detection systems. However, it can be easily disturbed by the ultra-wideband electromagnetic pulse (UWB EMP). …”
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    Article
  5. 9725

    FLOW CYTOMETRY FOR THE ANALYSIS OF MICRO/ NANOPARTICLES: CURRENT APPLICATIONS AND CHALLENGES

    Published 2025-08-01
    “… The detection and quantification of micro- and nanoparticles in complex matrices is a growing challenge in environmental research. …”
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    Article
  6. 9726

    Biosensors and their applications – A review by Parikha Mehrotra

    Published 2016-05-01
    “…The various types of biosensors such as enzyme-based, tissue-based, immunosensors, DNA biosensors, thermal and piezoelectric biosensors have been deliberated here to highlight their indispensable applications in multitudinous fields.Some of the popular fields implementing the use of biosensors are food industry to keep a check on its quality and safety, to help distinguish between the natural and artificial; in the fermentation industry and in the saccharification process to detect precise glucose concentrations; in metabolic engineering to enable in vivo monitoring of cellular metabolism. …”
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    Article
  7. 9727

    Case reports of incidental findings in COVID-19 CT-diagnostics by P. M. Zelter, S. S. Pervushkin, E. A. Sartakova

    Published 2021-03-01
    “…Nevertheless, cases of primary detection of additional pathology against the background of pneumonia are not uncommon in practice. …”
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    Article
  8. 9728

    An Active Fault-Tolerant PWM Tracker for Unknown Nonlinear Stochastic Hybrid Systems: NARMAX Model and OKID-Based State-Space Self-Tuning Control by Chu-Tong Wang, Jason S. H. Tsai, Chia-Wei Chen, You Lin, Shu-Mei Guo, Leang-San Shieh

    Published 2010-01-01
    “…Besides, by modifying the conventional self-tuning control, a fault-tolerant control scheme is also developed. For the detection of fault occurrence, a quantitative criterion is exploited by comparing the innovation process errors estimated by the Kalman filter estimation algorithm. …”
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    Article
  9. 9729

    Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

    Published 2025-04-01
    “…Then, the Dung Beetle Optimization (DBO) algorithm enhanced with Levy flight optimization is implemented for effective image segmentation processes. A dung beetle with a levy flight strategy assists in streamlined exploration of the search space thereby the detection and delineation of specific regions within images are improved, which results in higher boundary detection accuracy. …”
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    Article
  10. 9730

    An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model by Nisha Y., Jagadeesh Gopal

    Published 2025-07-01
    “…The automated disease diagnosis system is proposed using a deep learning (DL) algorithm, which automates and helps speed up the process efficiently. Further, this research concentrates on improving computation time based on the detection process. …”
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    Article
  11. 9731

    Research on the In-Depth Interpretation of Measured Pressure Data During Fluid Sampling with Dual Packers by YU Qiang, CHU Xiaodong, ZHOU Yanmin, QIN Xiaofei, KONG Sun, ZUO Youxiang

    Published 2024-08-01
    “…Dual packer is a kind of formation test pressure measurement sampling tool, the sampling process usually needs to be pumped for several hours or even more than ten hours to obtain formation fluid samples and pressure/flow rate data, but it can’t truly reflect the detection range of formation permeability. …”
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    Article
  12. 9732

    Determination of optimal imaging parameters of hyperspectral images using the identification module by Chilikin Andrey, Pupin Daniil

    Published 2024-01-01
    “…The presented device is used for imaging process to detect fruit diseases at an early stage. …”
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    Article
  13. 9733

    SAITI-DCGAN: Self-Attention Based Deep Convolutional Generative Adversarial Networks for Data Augmentation of Infrared Thermal Images by Zhichao Wu, Changyun Wei, Yu Xia, Ze Ji

    Published 2024-12-01
    “…Defect detection plays a crucial role in industrial production, and the implementation of this technology has significant implications for improving both product quality and processing efficiency. …”
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    Article
  14. 9734

    GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts by WANG Hanbin, LI Maoyue, LIU Xianli, WANG Zhixue, MENG Boyang

    Published 2023-04-01
    “…Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a reliable detection method is needed to identify chatter.Aiming at the problem of chatter detection in the milling process of thin-walled structures, a chatter feature extraction method of thin-walled parts based on optimal variational mode decomposition and multi-scale sample entropy is proposed.Firstly, in order to solve the problem of parameter selection in variational modal decomposition, a parameter adaptive method based on genetic algorithm optimization and minimum permutation entropy is proposed. …”
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    Article
  15. 9735

    Study on the Influence of Logging Cable Impedance on Transmit Current Waveform in Borehole Induced Polarization Method by MAO Yurong, GUO Qingming, XIE Xingbing, ZHOU Lei, YAN Liangjun, TONG Xiaolong, LI Haojin

    Published 2023-08-01
    “…High-power induced polarization method plays an important role in deep resource exploration. During the detection process, it needs to transmit high-power excitation current through kilometers of armored cable to the well to ensure that the current waveform is not distorted so that the formation is fully polarized to achieve the purpose of detection. …”
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    Article
  16. 9736

    Application of Internet of Things Technology in the Construction of Bored Pile Foundation in a High Altitude Environment by Jiayin Liu, Yang Wang, Yingjun Guo, Zhipeng Chen, Daowei Jiao

    Published 2022-01-01
    “…The JL-SONAR detector realizes the emission and acquisition of onsite sonar signals, and the PBCA software completes the analysis and arrangement of the detection data. This technology makes full use of the mud conditions of bored piles, the development of karst caves within 10 m of the pile bottom can be tracked and detected in the process of hole formation, which has the advantages of low cost, high speed, and high precision. …”
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    Article
  17. 9737

    Complex Texture Contour Feature Extraction of Cracks in Timber Structures of Ancient Architecture Based on YOLO Algorithm by Jian Ma, Weidong Yan, Guoqi Liu, Shiyu Xing, Siqi Niu, Tong Wei

    Published 2022-01-01
    “…In previous studies, we have verified that YOLO v5s is effective in crack detection in timber structures of ancient architecture. …”
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    Article
  18. 9738

    Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

    Published 2025-01-01
    “…It is critical to have an effective and efficient process for monitoring the presence of BPA in milk to protect children’s health. …”
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    Article
  19. 9739

    Failure Management Overview in Optical Networks by Sergio Cruzes

    Published 2024-01-01
    “…The key ML techniques discussed include network kriging (NK) for performance estimation and failure localization, support vector machine (SVM) for classification tasks, convolutional neural networks (CNNs) for signal analysis and soft failure identification, and generative adversarial networks (GANs) for synthetic data generation and soft failure detection. It also explores the application of artificial neural networks (ANNs), autoencoders (AEs), Gaussian process (GP), long short-term memory (LSTM), and gated recurrent units (GRUs) in optical networks. …”
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    Article
  20. 9740

    Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... by S. Ajith, S. Vijayakumar, N. Elakkiya

    Published 2025-03-01
    “…In pest and disease detection, artificial intelligence systems combining image processing and real-time analytics demonstrate promise for early intervention. …”
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    Article