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Cross-Shaped Peg-in-Hole Autonomous Assembly System via BP Neural Network Based on Force/Moment and Visual Information
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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Theoretical and Linearity Analysis for Pressure Sensors and Communication System Development
Published 2014-09-01Get full text
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Heartbeat Biometrics for Remote Authentication Using Sensor Embedded Computing Devices
Published 2015-06-01Get full text
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Home health monitoring around the time of surgery: qualitative study of patients’ experiences before and after joint replacement
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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Fault Diagnosis and Data Reconstruction of Temperature Sensors for Wind Turbine Stator Winding
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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Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies
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
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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Usability of a novel digital medicine system in adults with schizophrenia treated with sensor-embedded tablets of aripiprazole
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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Wireless Communication Networks for Gas Turbine Engine Testing
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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QoS Routing RPL for Low Power and Lossy Networks
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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Potential application of Aloe Vera-derived plant-based cell in powering wireless device for remote sensor activation.
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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Gaze Estimation Network Based on Multi-Head Attention, Fusion, and Interaction
Published 2025-03-01Get full text
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HyperKAN: Kolmogorov–Arnold Networks Make Hyperspectral Image Classifiers Smarter
Published 2024-11-01Get full text
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An Accurate Book Spine Detection Network Based on Improved Oriented R-CNN
Published 2024-12-01Get full text
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Sleeping and Eating Behavior Recognition of Horses Based on an Improved SlowFast Network
Published 2024-12-01Get full text
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Network-coding-based two-way relay cooperation with energy harvesting
Published 2017-04-01Get full text
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Neural network implementation of model predictive control with stability guarantees
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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