Titlebook: Emerging Research in Data Engineering Systems and Computer Communications; Proceedings of CCODE P. Venkata Krishna,Mohammad S. Obaidat Conf

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Emerging Research in Data Engineering Systems and Computer CommunicationsProceedings of CCODE

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Tea Leaf Disease Prediction Using Texture-Based Image Processing,, the best possible match is found by the classifier system, and diseases are recognized by the classifier system. This project is going to use various classification techniques to recognize and predict the tea leaves disease which helps us to improve the tea production of India.

訓誡

Analyzing Significant Reduction in Traffic by Using Restricted Smart Parking,ot from field sensor devices and then forwarded to servers for processing as well as usage for application which are on Google Play store and iOS users from App store. The main objective of this analysis is to help end users such as citizens and parking manager to ease traffic congestion and reduces

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空洞

Improving the Accuracy of Prediction of Plant Diseases Using Dimensionality Reduction-Based Ensembliance to achieve these results is likely that disparate dimensionality reduction methods will enhance diversity within a dimensionality reduction-based ensemble. AdaBoost and Random Forest are popular ensemble methods which are widely used for classification of target variables. Major problem with e

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Detection of Autism Spectrum Disorder Effectively Using Modified Regression Algorithm, results with less computational power compared to other methods. An efficient regression-based algorithm is proposed to predict ASD with less computation time makes detection process faster. The proposed algorithm is applied over dataset collected from UCI machine-learning repository. Dataset consi