Titlebook: Data Intelligence and Cognitive Informatics; Proceedings of ICDIC I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga Conference proceedings

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A Survey on Hybrid PSO and SVM Algorithm for Information Retrieval,position. SVM (Support Vector Machine) and PSO (Particle Swarm Optimization) are considered as the significant IR positioning methods. Selecting matching bounds in SVM is a complex process, yet it provides possible alternatives for positioning. One of the streamlining solutions, Particle Swarm Optim

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Generalization of Fingerprint Spoof Detector,The efficiency of spoof detectors will be enhanced by introducing more number of testing and training set of images. When the spoof detector is exposed to bogus images that are not part of the training set, the performance of any such spoof detector will degrade. To address the security threat posed

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Deep Learning-Based Quality Inspection System for Steel Sheet,eel is considered as the most widely used industrial item due to its wide range of applications. However, quality control is considered as the most crucial stage in the manufacturing industry in order to detect damage in the steel sheet. Even today, many industries perform quality control operations

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Forecasting Prediction of Covid-19 Outbreak Using Linear Regression,obally within no time. Machine learning is used to forecast the future outcomes almost in all areas like computers, medical, business, security, and many more. In this study, various machine learning techniques such as Linear Regression, SVM, Random Forest, Logistic Regression, and KNN are used to f

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Apple Leaf Disease Prediction Using Deep Learning Technique,s are also susceptible to a variety of pathological conditions that affect their production which are Mosaic, Frogeye, etc. Whenever an apple crop is damaged by infections that harm apple production and the country‘s wealth, image processing is recommended for detecting apple leaf diseases. This app

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