Titlebook: Emerging Trends in Data Driven Computing and Communications; Proceedings of DDCIo Rajeev Mathur,C. P. Gupta,Neha Yadav Conference proceedin

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Application of Machine Learning Algorithms in Agriculture: An Analysis,o $8.81 billion by 2022, at a compound annual growth rate of 44.1%. One of the main reasons for its increasing use is that companies are collecting big data from which they need to obtain valuable information. Machine learning is an efficient way to make sense of that data. In the current situation,

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A Summary on Neurodegenerative Disease Detection,chnology faces graphic assessments, manual reorientations, and other challenges with limited resolution and a low signal-to-noise ratio. Several algorithms have been developed over the years, which are effective enough to recognize biomarkers that show neurodegenerative diseases of interest to clini

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An Ensemble Approach for Classification and Prediction of Diabetes Mellitus Disease,e health and care of patients. This research paper examined three different algorithms for machine learning and addressed finding the best classifier for this dataset for diabetes. For pattern recognition and data visualization, we have used box–whisker plots. We have used function-based classifier

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A Novel Approach for Identification of Brain Tumor by Combination of Intelligent Water Drop Algoritmor detection algorithms have been developed for identifying the tumor cells from normal brain cells. This work proposed a magnetic resonance image segmentation-based classification model for brain tumor detection. Training data for Convolutional Neural Network (CNN) was obtained from Intelligent Wa

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