Traditional deep convolutional neural networks are used for facial expression recognition, which makes the number of neurons and parameters huge, wastes computing resources, and even causes problems such as overfittin...
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As the public pays more and more attention to fire, the importance of fire prevention is becoming increasingly prominent. This paper focuses on the realization of fire alarm software that can alarm in real time. Throu...
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Well Sphere Fight against lifestyle undiagnosed diseases, diabetes, heart disease, Parkinson's disease, etc., by integrating Streamlit technology and advanced Machine Learning algorithms to provide patient populat...
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The recent advancement Tesseract OCR engine and the YOLO4 (You Only Look Once version 4) object detection framework provide an innovative approach to optical character recognition (OCR) with a focus on table extractio...
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Agriculture is backbone of many economies but still farmers often face many challenges in accessing financial services or available resources for them, making informed crop choices and participating in government init...
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A wavelet transform multi-scale information synthesis algorithm for traveling wave head detection is proposed. Firstly, the fault traveling wave signal is processed using the multi-scale analysis of wavelet transform ...
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A spectral amplitude coding optical code division multiple access (SAC OCDMA) system for free-space optical communication has been presented in this paper. The SAC method provides concurrent transmission and reception...
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Go-layer layout (CLD) is an emerging implementation paradigm for communique networks in aerospace and space systems. CLD combines the functionalities of two or greater wonderful layers inside the protocol stack, there...
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With the advancement of technologies, different methods are currently being used for converting spoken language into text. These systems offer a hands-free alternative to traditional input methods, especially for indi...
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