Titlebook: Innovations in VLSI, Signal Processing and Computational Technologies; Select Proceedings o Gayatri Mehta,Nilmini Wickramasinghe,Deepti Kak

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Reinforcement Learning Method for Identifying Health Issues for People with Chronic Diseases,on accuracy and the convergence speed have been analysed for various data sets. It is based on the AutoLearn algorithm (ALA), which can identify a tool for determining elements in a data set and the broad variations of chronic diseases. The prediction accuracy and the convergence speed have been obt

GNAT

Metrics Evaluation of Bell Pepper Disease Classification Using Deep Convolutional Neural Network (Der, experimental results are presented on bell pepper diseases for MobileNetV2 with better accuracy of 99.42%. The various performance metrics such as accuracy, precision, recall and F1-score, ROC curve are used to determine the accuracy of the model.

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Enhanced Intracranial Tumor Strain Prediction and Detection Using Transfer and Multilevel Ensemble the next level of ensemble learning, where it achieved the accuracy of 96% with loss of 10% on training set and 91% accuracy with 14% loss on validation set. The training was done on 60 epochs. Analysis of factors affecting intracranial tumors includes use of Random Forest algorithms that gave 93%

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Deep Learning-Based Multi-label Image Classification for Chest X-Rays,ng test data that has not yet been observed. With no patients from the training set appearing in the test set, 200 trials from 200 patients were randomly selected from the whole dataset. Our experimental setup gives results that are an improvement upon earlier work; thus, this study will provide gui

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Innovations in VLSI, Signal Processing and Computational TechnologiesSelect Proceedings o

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Innovations in VLSI, Signal Processing and Computational Technologies978-981-99-7077-3Series ISSN 1876-1100 Series E-ISSN 1876-1119