Showing 41 - 60 results of 172 for search 'Sensor network replacement', query time: 0.17s Refine Results
  1. 41

    Cross-Shaped Peg-in-Hole Autonomous Assembly System via BP Neural Network Based on Force/Moment and Visual Information by Zheng Ma, Xiaoguang Hu, Yulin Zhou

    Published 2024-11-01
    “…During the insertion process, 26 contact states of the cross-peg and the cross-hole were classified, and the mapping relationship between the force-moment sensor and relative errors was established based on a backpropagation (BP) neural network, thus completing the task of autonomous PiH assembly. …”
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    Home health monitoring around the time of surgery: qualitative study of patients’ experiences before and after joint replacement by Rachael Gooberman-Hill, Ashley W Blom, Sabrina Grant, Ian Craddock, Micheal Whitehouse

    Published 2019-12-01
    “…Objectives Hip and knee replacements are common major elective surgical interventions with over 200 000 performed annually in the UK. …”
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  7. 47

    Fault Diagnosis and Data Reconstruction of Temperature Sensors for Wind Turbine Stator Winding by Ling Zhou, Qiancheng Zhao, Jinhui Zeng, Anfeng Zhu, Xiafei Long, Ling He

    Published 2025-01-01
    “…To ensure system stability in the event of sensor failure, a multi-input single-output sensor fault data reconstruction model is proposed on the basis of long-term and short-term memory (LSTM) networks, which are further optimized using the seagull optimization algorithm (SOA-LSTM). …”
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  8. 48

    Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies by Vijay Kumar Damera, Ramesh Cheripelli, Narsaiah Putta, G. Sirisha, Deepthi Kalavala

    Published 2025-07-01
    “…This research introduces a novel AI-driven telemedicine framework that integrates IoMT, cloud computing, and wireless sensor networks for efficient healthcare monitoring. …”
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    Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models by Ru Miao, Kai Yang, Ke Zhou, Jia Song, Shihao Fu, Cong Liu, Yuanxing Wang

    Published 2025-01-01
    “…However, these methods struggle to handle the complex mapping between cross-sensor images. Although generative adversarial networks can reconstruct fine details, their training process is relatively challenging. …”
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  11. 51

    Usability of a novel digital medicine system in adults with schizophrenia treated with sensor-embedded tablets of aripiprazole by Peters-Strickland T, Pestreich L, Hatch A, Rohatagi S, Baker RA, Docherty JP, Markovtsova L, Raja P, Weiden PJ, Walling DP

    Published 2016-10-01
    “…By the end of week 8 or early termination, 82.1% (55/67) of patients had replaced the wearable sensor independently or with minimal assistance, based on HCP rating. …”
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  12. 52

    Wireless Communication Networks for Gas Turbine Engine Testing by Xuewu Dai, Konstantinos Sasloglou, Robert Atkinson, John Strong, Isabella Panella, Lim Yun Cai, Han Mingding, Ang Chee Wei, Ian Glover, John E. Mitchell, Werner Schiffers, Partha S. Dutta

    Published 2012-03-01
    “…A new trend in the field of Aeronautical Engine Health Monitoring is the implementation of wireless sensor networks (WSNs) for data acquisition and condition monitoring to partially replace heavy and complex wiring harnesses, which limit the versatility of the monitoring process as well as creating practical deployment issues. …”
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  13. 53

    QoS Routing RPL for Low Power and Lossy Networks by Belghachi Mohamed, Feham Mohamed

    Published 2015-11-01
    “…Energy conservation, while ensuring an adequate level of service, is a major concern in Low power and Lossy Networks (LLNs), because the nodes are typically deployed and are not replaced in case of failure. …”
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  14. 54

    Potential application of Aloe Vera-derived plant-based cell in powering wireless device for remote sensor activation. by Peng Lean Chong, Ajay Kumar Singh, Swee Leong Kok

    Published 2019-01-01
    “…This proves that this new source of energy combined with a power management circuit can be employed for powering the wireless sensor network for application in the Internet of Things (IoT).…”
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    Neural network implementation of model predictive control with stability guarantees by Arthur Khodaverdian, Dhruv Gohil, Panagiotis D. Christofides

    Published 2025-09-01
    “…This work explores the use of supervised learning on data generated by a model predictive controller (MPC) to train a neural network (NN). The goal is to create an approximate control policy that can replace the MPC, offering reduced computational complexity while maintaining stability guarantees. …”
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