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    MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions by Maham Misbah, Misha Urooj Khan, Zeeshan Kaleem, Ali Muqaibel, Muhamad Zeshan Alam, Ran Liu, Chau Yuen

    Published 2025-01-01
    “…This approach significantly reduces the waste of computing resources when detecting small-sized flying objects. We also integrated autoanchor and batch size mechanisms to ensure efficient model training and avoid overfitting. …”
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    Article
  3. 23

    Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge by Masfa Nasrullah Ansari, Abdul Razaq, Abdul Wakil Baidar, Dilshad Alghazzawi, Ghaliah Alhamzi

    Published 2025-07-01
    “…Abstract The selection of the most efficient actuator for biohybrid robots necessitates the implementation of precise and reliable decision-making (DM) methods. …”
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    Efficient Cloning Method that Selects the Recombinant Clones by Evgeny Loukianov, Tanya Loukianova, Muthu Periasamy

    Published 1997-08-01
    “…To remedy the problem, we developed a “positive selector” cloning strategy that provides positive selection for the recombinant clones. It is particularly useful when making complex recombinant constructs and the choice of restriction sites is limited.…”
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    UV–Vis Detection of Thioacetamide: Balancing the Performances of a Mn(III)-Porphyrin, Gold Colloid, and Their Complex for Selecting the Most Sensitive Material by Camelia Epuran, Ion Fratilescu, Ionela Fringu, Anca Lascu, Liliana Halip, Mihaela Gherban, Eugenia Fagadar-Cosma

    Published 2025-05-01
    “…The optical detection of thioacetamide was investigated using a metalated porphyrin, Mn(III)-5,10,15,20-tetrakis-(3,4-dimethoxyphenyl)-21H,23H-porphyrin chloride (Mn-3,4-diMeOPP), a gold colloid solution (AuNPs), and a complex formed between them (Mn-3,4-diMeOPP–AuNPs) in order to select the most sensitive material and to achieve complementarity between methods. …”
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    The impact of social complexity on the efficacy of natural selection in termites by Roux, Camille, Ha, Alice, Weyna, Arthur, Lode, Morgan, Romiguier, Jonathan

    Published 2024-10-01
    “…Our results demonstrate an elevated dN/dS ratio in termites compared to other members of Blattodea, further generalizing the idea that convergent evolution toward eusociality strongly reduces the effective population size and the genome-wide efficiency of natural selection. Then, by comparing 68 termite transcriptomes, we show that this decrease in natural selection efficiency is even more pronounced in termites displaying high levels of social complexity. …”
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  9. 29

    Low-Complexity Ultrasonic Flowmeter Signal Processor Using Peak Detector-Based Envelope Detection by Myeong-Geon Yu, Dong-Sun Kim

    Published 2025-01-01
    “…This paper proposes a low-complexity structure that ensures an accurate time-of-flight (ToF) estimation within an acceptable error range while reducing computational complexity. …”
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    An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

    Published 2025-01-01
    “…This paper proposes an efficient machine learning model for PD detection using voice-based features, which offer a non-invasive, cost-effective, and accessible alternative to complex imaging methods. …”
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    Article
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    An Efficient Decision Support System for the Selection of Appropriate Crowd in Crowdsourcing by Yongjun Huang, Shah Nazir, Jiyu Wu, Fida Hussain Khoso, Farhad Ali, Habib Ullah Khan

    Published 2021-01-01
    “…The efficiency and effectiveness of crowdsourcing may fail if irrelevant crowd is selected for performing a task. …”
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    Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

    Published 2023-08-01
    “…There have been some exiting methods trying to solve the problem of malware detection, but the methods suffer from several defects, such as high time complexity and mediocre accuracy, which seriously decrease the practicability of existing methods. …”
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    Low-Complexity Gaussian Detection for MIMO Systems by Tianbin Wo, Peter Adam Hoeher

    Published 2010-01-01
    “…Using factor graphs as a general framework and applying the Gaussian approximation, three low-complexity iterative detection algorithms are derived, and their performances are compared by means of Monte Carlo simulations. …”
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    Complex Indoor Human Detection with You Only Look Once: An Improved Network Designed for Human Detection in Complex Indoor Scenes by Yufeng Xu, Yan Fu

    Published 2024-11-01
    “…However, the complex indoor environment and background pose challenges to the detection task. …”
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    Variable Selection for Generalized Single-Index Varying-Coefficient Models with Applications to Synergistic G × E Interactions by Shunjie Guan, Xu Liu, Yuehua Cui

    Published 2025-01-01
    “…A three-step variable selection method for single-index varying-coefficients models was proposed in recent research. …”
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