Neural networks have become a leading model in modern machine learning, able to model even the most complex data. For them to be properly trained, however, a lot of computational resources are required. With the carbo...
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In human perceptive, Augmented Reality (AR) or Virtual Reality(VR) is an effective and deep technology because it creates new replicated world. The AR or VR technique is a distinctive and lucrative application;its imm...
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Advances in medical science have led to a better understanding of Alzheimer's disease (AD), as shown by the clear description of AD using numerical, medical and MRI architectural imagery details. Early diagnosis o...
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Based on the system of bicharacteristics, the propagation of decameter-range radio waves on low-inclination paths from the radiation source to the receiver in the presence of traveling inclined ionospheric disturbance...
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Anemia is a state of bad health condition where there is the presence of a low amount of red blood cells in the blood. We aim to build a simple Anemia prediction Web Application, that predicts whether a patient is ane...
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In an era dominated by the ubiquity of digital communication, Reach emerges as a pioneering mobile-first chat application, engineered to facilitate seamless in-person messaging and empower users for real-time connecti...
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The new digital platform called the House Rental Management System is revolutionizing the management of rental properties. It provides a quick and convenient alternative for landlords and tenants to manage a variety o...
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Cloud computing services and gig economy platforms vary in flexibility, efficiency, and scalability due to their pricing schemes. Cloud computing services provide flexibility and cost control via pay-as-you-go, subscr...
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As the development of the smart grid is increasing, accurate electric demand forecasting is becoming more important for power systems, because it plays a vital role in improving the performance of power companies in t...
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Classical machine learning has practical significant advancements and extensive acceptance across various domains, enabling the growth of precise predictive models. The purpose of this work is to examine the accuracy ...
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