Showing 81 - 100 results of 172 for search 'Sensor network replacement', query time: 0.11s Refine Results
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    Deep Neural Network-Based Video Processing to Obtain Dual-Task Upper-Extremity Motor Performance Toward Assessment of Cognitive and Motor Function by Zilong Liu, Changhong Wang, Guanzheng Liu, Bijan Najafi

    Published 2023-01-01
    “…Instead of using inertial sensors to capture kinematic data of upper-extremity movements, here we proposed a deep neural network-based video processing model to obtain DTUEMP metrics from a 20-second repetitive elbow flexion-extension test under dual-task condition. …”
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  3. 83

    An energy-efficient routing protocol for wireless body area networks using hybrid artificial bee colony optimization and chicken swarm optimization algorithm by A. Dinesh, J. Rangaraj

    Published 2025-04-01
    “…Energy consumption is critical in WBANs, particularly in implantable wearable sensors that are challenging to access and replace. …”
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    On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing by Tamim Khatib, Patrick Kreidl, Ayan Dutta, Ladislau Boloni, Swapnoneel Roy

    Published 2024-05-01
    “…Such attacks on a multi-robot informative path planning system may, for example, replace the original sensor measurements with fake measurements to negatively affect achievable prediction accuracy. …”
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    Low power IoT device communication through hybrid AES-RSA encryption in MRA mode by Qiang Chang, Tianqi Ma, Wenzhong Yang

    Published 2025-04-01
    “…Abstract In modern edge scenarios, the security of sensor networks plays a pivotal role in ensuring the safe communication of IoT data. …”
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    Classification of Rolling Bearing Defects Based on the Direct Analysis of Phase Currents by Oliwia Frankiewicz, Maciej Skowron, Jeremi Jan Jarosz, Sebastien Weisse, Jerome Valire, Krzysztof Szabat

    Published 2025-05-01
    “…Traditional diagnostic methods, such as vibration, sound, and temperature analysis, have limitations in practical applications, particularly because of external interference and the need for additional sensors. This paper presents a new diagnostic approach based on convolutional neural networks (CNNs) and direct analysis of current signals. …”
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