The requirements of the wireless communication system have progressed consistently over previous several years. The growing fame and utilization of wireless multimedia approaches have driven the advancement of the wir...
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Over the last few decades, many researchers opt various techniques to achieve optimum time for coordination of overcurrent relays. The main motive of these techniques is to avoid mal operation among the main and secon...
Accurate segmentation of brain tumors in MRI images is crucial for diagnosis, treatment planning, and disease monitoring. Traditional manual segmentation methods are time- consuming and prone to variability, while sta...
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Loading tests have been conducted on subassemblage with wide composite beams to investigate the bearing capacity degradation of composite beams due to slab damage in the large deformation range. The experimental resul...
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We have successfully demonstrated a diaphragm-type pneumatic valve capable of amplifying electrostatic actuation and attenuating air pressure applied onto the diaphragm. When a high voltage is applied between the flex...
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With applications including medical image analysis, picture sharpening and restoration, robot vision, pattern recognition, and video processing, among many others, image enhancement is the main topic in image processi...
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In recent decades, power generation from PV systems has become increasingly popular. However, several environmental variables, such as dust deposition on PV panels, have significantly reduced PV energy production. Sev...
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In this paper, we have utilized deep learning approaches to detect cloud intrusion for the Internet of Things (IoT). The emerging growth of IoT and cloud environments has revolutionized many industries by allowing rea...
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Alzheimer’s Disease (AD) is an escalating neurodegenerative disorder and the leading cause of dementia, with early detection being essential for prompt action and slowing disease progression. However, due to subtle a...
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The primary objective of this research is to develop and evaluate combined cryptocurrency price prediction models using Long Short-Term Memory (LSTM) neural networks along with traditional time series models and machi...
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