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  1. 1

    An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding by Mohammed Abo-Zahhad, Sabah M. Ahmed, Ahmed Zakaria

    Published 2012-01-01
    “…This paper presents an efficient electrocardiogram (ECG) signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding. …”
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    Article
  2. 2

    IMPROVING EFFICIENCY OF THE JET PUMP AT LOW COEFFICIENTS OF EJECTION by A. G. Butenko, S. Yu. Smik

    Published 2015-06-01
    “…Their main disadvantage is low operating efficiency which aggravates when the jet pump is working with a low ejection coefficient. …”
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    Article
  3. 3

    Optimizing Gammatone Cepstral Coefficients for Gear Fault Detection by Zrar Kh Abdul, Abdulbasit K. Al-Talabani, Wisam Hazim Gwad, Entisar Alkayal, Halgurd S. Maghdid, Safar Maghdid Asaad

    Published 2025-01-01
    “…Cepstral features, such as Gammatone Cepstral Coefficients (GTCC), have recently been applied in fault detection and diagnosis. …”
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    Article
  4. 4

    Signal Detection by Sensors and Determination of Friction Coefficient During Brake Lining Movement by Leopold Hrabovský, Vieroslav Molnár, Gabriel Fedorko, Nikoleta Mikusova, Jan Blata, Jiří Fries, Tomasz Jachowicz

    Published 2024-12-01
    “…This article presents a laboratory device by which the course of two signals can be detected using two types of sensors—strain gauges and the DEWESoft DS-NET measuring apparatus. …”
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    Abnormal Power Fluctuation Detection of Wind Turbines Based on Subband Processing and Correlation Coefficient by CHEN Gang, HU Kaikai, CHEN Yanan, ZHANG Jiayou, XIONG Wenhao

    Published 2024-04-01
    “…Wind turbine power signals are nonlinear and non-stationary signals, and their abnormal fluctuation Frequencies are uncertain, which makes it difficult to extract and detect abnormal power fluctuation features. This paper proposes a method for detecting abnormal power fluctuations of wind turbine based on subband processing and correlation coefficient. …”
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  7. 7

    Mutual clustering coefficient-based suspicious-link detection approach for online social networks by Mudasir Ahmad Wani, Suraiya Jabin

    Published 2022-02-01
    “…In this paper, a classification system based on mutual clustering coefficient and profile information of users has been presented to detect the suspicious links within the user communities. …”
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    DETERMINATION OF PRIMERS EFFICIENCY IN THE DETECTION OF PEDIOCOCCUS IN WINES by Alexandra Buga, Irina Mitina, Valentin Mitin, Silvia Rubtov, Dan Zgardan

    Published 2021-09-01
    “…As a result, primer sets for the Real time-PCR were designed to allow for correct and efficient detection of Pediococcus spp., and experimentally tested.…”
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  10. 10

    An Efficient Anomalous Sound Detection System for Microcontrollers by Yi-Cheng Lo, Tsung-Lin Tsai, Chieh-Wen Yang, An-Yeu Wu

    Published 2024-11-01
    “…Anomalous Sound Detection (ASD) systems are pivotal in the Industrial Internet of Things (IIoT). …”
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    Efficient attack detection and data aggregation algorithm by Hong-bing CHENG, Chun-ming RONG, Xiao HUANG, Skjalg EGGEN, Qing-kai ZENG

    Published 2012-09-01
    “…An efficient algorithm of attack detection and data aggregation for wireless multimedia sensor networks based on the previous work was proposed.The proposed algorithm concludes the action trait of sensor nodes from their attribute vectors without any prior knowledge,at the same time;it was scalable and could be applied in large scale net-works.The simulation results show that the proposed algorithm can detect the attacks action more accurate than other technologies,and can make data aggregation efficiently.At the same time,the proposed algorithm can make the wireless multimedia sensor networks secure and reduce communication flow so that it will save a lot of resources in wireless mul-timedia sensor networks.…”
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    Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach by Mustafa Youldash, Atta Rahman, Manar Alsayed, Abrar Sebiany, Joury Alzayat, Noor Aljishi, Ghaida Alshammari, Mona Alqahtani

    Published 2024-11-01
    “…The proposed model utilizes six pre-trained convolutional neural networks (CNNs): EfficientNetB3, EfficientNetV2B1, RegNetX008, RegNetX080, RegNetY006, and RegNetY008. …”
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  17. 17

    A playback speech detection algorithm based on log inverse Mel-frequency spectral coefficient by Lang LIN, Rangding WANG, Diqun YAN, Can LI

    Published 2018-05-01
    “…The popularity and portability of high-fidelity audio recording equipment and playback equipment poses a serious challenge for speaker recognition systems against playback attacks.Based on the differences between the original speech and the playback speech in high frequency region,the algorithm reversed the Mel-filter bank in Mel-frequency cepstral coefficient (MFCC) calculation,and the coefficients before the DCT were used as the features of the algorithm.SVM was utilized as the classifier.Experimental results show that this algorithm can effectively detect the playback speech.In addition,the algorithm is integrated into the GMM-UBM speaker recognition system,which significantly improves the systems’ capability of resisting the playback attack.…”
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  18. 18

    A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance by Noushin Saba, Afia Zafar, Mohsin Suleman, Kainat Zafar, Shahneer Zafar, Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Iqbal, Syed Sajid Ullah

    Published 2024-01-01
    “…These findings suggest that this novel approach can substantially enhance early detection and diagnosis of colon cancer, providing a scalable solution to current diagnostic challenges. …”
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    Enhanced YOLOv8 with lightweight and efficient detection head for for detecting rice leaf diseases by Bo Gan, Guolin Pu, Weiyin Xing, Lianfang Wang, Shu Liang

    Published 2025-07-01
    “…Moreover, their high computational demands hinder deployment on resource-constrained devices, necessitating further optimization.To overcome these issues, This paper presents G-YOLO, a novel architecture that combines a Lightweight and Efficient Detection Head (LEDH) with Multi-scale Spatial Pyramid Pooling Fast (MSPPF). …”
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