Showing 141 - 160 results of 172 for search 'Sensor network replacement', query time: 0.08s Refine Results
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    Reduction of Vision-Based Models for Fall Detection by Asier Garmendia-Orbegozo, Miguel Angel Anton, Jose David Nuñez-Gonzalez

    Published 2024-11-01
    “…We proceeded to use image sequences as video frames, using data from two open source datasets, and we applied the Sparse Low Rank Method to reduce certain layers of the Convolutional Neural Networks that were the backbone of the models. Additionally, we chose to replace a convolutional block with Long Short Term Memory to consider the latest updates of these data sequences. …”
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    Generalized real-time state of health estimation for lithium-ion batteries using simulation-augmented multi-objective dual-stream fusion of multi-Bi-LSTM-attention by Jarin Tasnim, Md. Azizur Rahman, Md. Shoaib Akhter Rafi, Muhammad Anisuzzaman Talukder, Md. Kamrul Hasan

    Published 2025-03-01
    “…Battery sensor data is first preprocessed utilizing novel energy discrepancy aware variable cycle length synchronization and grid encoding schemes to achieve generalizability considering battery sets with different discharge profiles and then passed through two parallel networks: overlapped data splitting (ODS)-based attention integrated multi-Bi-LSTM network (ODS-multi-ABi-LSTM) and past cycles’ SOHs (PCSs)-based attention integrated multi-Bi-LSTM (PCS-multi-ABi-LSTM) network. …”
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  13. 153

    Smart wireless low power valve positioner dedicated for use in aviation laboratories by Tomasz Kabala, Jerzy Weremczuk

    Published 2025-06-01
    “…Research shows that designed valve positioner controller enables the system to reach control accuracy many times higher than typical valve positioners available on the market and could operate directly with external sensors. Moreover, low power design approach enables valve positioner to operate for months without battery replacement. …”
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  14. 154

    Advancements in energy harvesting techniques for sustainable IoT devices by Ahsan Ali, Hamna Shaukat, Hassan Elahi, Shaista Taimur, Muhammad Qasim Manan, Wael A. Altabey, Sallam A. Kouritem, Mohammad Noori

    Published 2025-06-01
    “…The batteries that run these wireless sensors have a limited lifespan, rapidly drain, and need replacement. …”
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  15. 155

    A Novel FECAM-iTransformer Algorithm for Assisting INS/GNSS Navigation System during GNSS Outages by Xinghong Kuang, Biyun Yan

    Published 2024-09-01
    “…While there has been considerable research into using neural networks to replace the GNSS signal output during such interruptions, these approaches often lack targeted modeling of sensor information, resulting in poor navigation stability. …”
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  16. 156

    Automation of a wind tunnel for the calibration of anemometers of the National Meteorological Service by Leonardo Martín Carducci, Cristian Zozimo Aranda Cordero, Lucas Sambuco Salomone, Claudio Arencibia, Leonardo Rey Vega

    Published 2025-06-01
    “…In this way, the wind sensor calibration process is optimized to meet the demands of the automatic stations network and the anemometer systems installed across the country.…”
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  17. 157

    YOLOv5-DTW: Gesture recognition based on YOLOv5 and dynamic time warping for digital media design by Lu Zhao, Jing Yu

    Published 2025-06-01
    “…VGG-16 is then used as a prototype of the recognition network, adding a normalization layer and replacing the activation function to accelerate convergence and prevent over-fitting. …”
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    G-ROBOT: An Intelligent Greenhouse Seedling Height Inspection Robot by Baoqi Wang, Yang Ding, Chunyan Wang, Deyu Li, Hongchang Wang, Zhilong Bie, Yuan Huang, Shengyong Xu

    Published 2022-01-01
    “…The robot structure mainly consists of a multiterrain replacement chassis, an electronic control lift image acquisition support, and a quick disassembly mechanism. …”
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  20. 160

    Towards Sustainable and Intelligent Machining: Energy Footprint and Tool Condition Monitoring for Media-Assisted Processes by Hakan Dogan, Llyr Jones, Stephanie Hall, Alborz Shokrani

    Published 2023-05-01
    “…The results indicated that the network is capable of correctly classifying the tool condition with over 90% accuracy.…”
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