Titlebook: Cognitive Science and Artificial Intelligence; Advances and Applica Sasikumar Gurumoorthy,Bangole Narendra Kumar Rao,X Book 2018 The Author

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Ailen Borches,Mara Fusco,Mónica Mirallesnal intelligence. The symptoms of rice crop diseases imply the seriousness of the disease and suggest choosing the best approach to dealing with the disease. Most of the diseases in rice crop appear as a spot on the leaves. It is also needful to diagnose the disease properly and on-time to avoid the

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Ravindra Pogaku,Rosalam Hj. Sarbatly of CNN on 120 samples of cured tobacco leaves is reduced from 1450 × 1680 Red-Green-Blue (RGB) to 256 × 256, consisting 16, 32 and 64 feature kernels for hidden layers respectively. The neural network comprised of four hidden layers where the performance of convolution and pooling on first three hi

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Rosalam Hj. Sarbatly,Emma Sualie user’s directional conduct in association with other material composed in the web framework. In this education primarily we give request to distinctive search engine what’s more, the top n list from each web search tool is picked for all the ore dealing with our technique to fulfill data location

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https://doi.org/10.1007/978-1-4614-6249-1ed to the cotton yield with a fuzzy Decision Making Trial And Evaluation Laboratory .. Fuzzy Cognitive Maps . and its important elements has been used for assessment of cotton yield prediction. This paper proposed the interdependence of every factors on each other and how it directly or indirectly a

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A Bio-Route Production of Biodiesel those item sets into the k clusters by placing the item set in the cluster with nearest mean. The traditional k-means clustering is completely depend on initial clusters and can be used only on spherical-shape clusters. The traditional k-means clustering uses the euclidean distance but in our paper

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Ravindra Pogaku,Rosalam Hj. Sarbatlyduals. This technology has the dominance of being defiant to falsification because the vein pattern is hidden inside a finger. In this paper, we present the key problems and feature extraction methods in order to acquaint finger vein recognition research domain. In our proposed method, vein image is

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Lecture Notes in Computer Sciencediction based on clinical and genetic factors. The clinical characters and gene factors are collected from various hospitals in Coimbatore region through laboratory investigations from the blood serum samples and general investigations. Patients with viral fever more than six weeks and later arthrit

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