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

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https://doi.org/10.1007/978-981-99-7077-3Very Large-Scale Integration (VLSI); Smart Innovations; Applied Computing; 5G Technologies; Big Data Ana

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Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/i/image/467195.jpg

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A Comprehensive Review to Investigate the Effect of Read Port Topology on the Performance of Differch operation. It is identified that the 7T4 and 7T5 cells have best read stability at 314 and 324?mV, respectively. In terms of read time requirement, the 7T4 and 7T5 cells are identified to be the best at ?5 ps each.

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Analysis of Heart Disease Prediction Using Various Machine Learning Algorithms,d risk factors are included in the second category. These factors include maximum blood pressure, smoking, a high level of cholesterol, and inactivity. We have used algorithms like Logistic Regression, Support Vector Classifier, and Random Forest to predict the risk level of heart diseases and we made a comparative study on these three algorithms.

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Deep Learning Model-Based Approach for Agricultural Crop Price Prediction in Indian Market,prediction accuracy for SVR and RNN models was compared by evaluating the models’ MAE, MSE, and RMSE values. The RNN model predicted the rice crop price with the lowest MSE, i.e., 0.003. Finally, the deep learning model proved to work better compared to the machine learning model in predicting Indian crop prices.