Managing waste has emerged as a formidable challenge for any nation aiming to safeguard the well-being of its citizens and promote sustainable national progress. This paper introduces an innovative solution as an effi...
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Ethereum has become one of the most popular blockchains in the world ever since its inception. There are now over 207 million Ethereum accounts and more than 6000 blocks are mined every day. Its fame also attracts var...
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The Ocular diseases are progressive and patients are unaware they have a disease it is better to recognize it and cure it before it is too *** earlier proposed model aims to use a single CNN architecture such as Dense...
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Air Pollution is the contamination of air due to the presence of substances in the atmosphere that are major issue to human life as well as to the other living organisms. Air quality is the result of the composite int...
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The Simulated Annealing (SA) Optimisation Algorithm is used in this project to optimize the Electrical Discharge Machining process parameters. The primary goal is to improve the Material Removal Rate (MRR) while reduc...
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Downward facing monocular camera (Raspberry Pi camera module) is mounted on the MAV. Algorithm for helipad landing target detection have been implemented on Raspberry pi3 single board computer using OpenCV and Python ...
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The surge in Internet usage has revolutionized online forums, providing dynamic forums for active participation and meaningful debates. However, this has also exposed users to the risk of harassment. Efforts to addres...
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Traditional narratives has been redefined by virtual reality that transform the way of experiencing mythology through interactive and immersive storytelling. The study explores the postmodernist techniques including n...
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Movie recommendation system is a type of recommendation engine that uses data on user preferences and characteristics of movies to provide personalized movie suggestions. It aims to enhance user experience and engagem...
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The use of several machine learning regression models for the prediction of power costs is explored in this work. The following models are taken into consideration: Gradient Boosting, Adaboosting, Lgbmregressor, Catab...
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