Titlebook: Advances in Computational and Bio-Engineering; Proceeding of the In S. Jyothi,D. M. Mamatha,Margarita N. Favorskaya Conference proceedings

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https://doi.org/10.1007/978-3-658-45238-4monstrates the implementation of three classifiers K-Nearest Neighbor (K-NN), Naive Bayes (NB), Decision Tree (DT) on cotton pests data, out of which the decision tree classifier proved to be the best for analysis.

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The Hindenburg Report as a Turning Point pilgrim center suited at Rayalaseema region with in Chittoor district. Tirupati is divided in rural and urban area. Here to classify the image Machine Learning Algorithms like support vector machine, K-NN algorithms are applied and to know which algorithm is best for classification is compared with accuracy.

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Front Matterpplementation (with composts or dehydrated manures) with GMr consistently increased total and marketable yield. The effect of N supply and GMr type on pest (wireworm, Colorado potato beetle) population dynamics is also examined. Finally, synchronizing N supply in these systems with crop demand remai

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Polycystic Ovarian Follicles Segmentation Using GA,he report measures the university’s CF from campus operations and activities. AUC is the first HEI in the Middle East and North Africa (MENA) to conduct such a comprehensive study of its impact on climate change. As part of its ongoing efforts to maintain and improve its operational sustainability,

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Effect of Formulation Variables on Optimization of Gastroretentive In Situ Rafts of Bosentan Monohyesponsible for abiotic stress tolerance would be intensely facilitated, and a genetic approach should assist in improving our knowledge of varied abiotic stress tolerance mechanisms operative in quinoa, ultimately leading to better propagation approaches. By way of these advances, quinoa has great p

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