Wide-ranging approach-based feature selection for classification

Bhuyan, Hemanta Kumar and Saikiran, M and Tripathy, Murchhana and Ravi, Vinayakumar (2023) Wide-ranging approach-based feature selection for classification. Multimedia Tools and Applications, 82 (15). pp. 23277-23304. ISSN 1380-7501

[thumbnail of 85.V.Nagireddy JOICS-5892.pdf] Text
85.V.Nagireddy JOICS-5892.pdf

Download (254kB)

Abstract

Previously, innovative things like brilliant vehicles played a significant role. It is critical to grasp and understand the street indicators in order to foster clever automobiles for street security. The figure is based on the previous LeNet-5 CNN procurement. Gabor's presentation was used to present the
approach, which was followed by the standard revolution and then the reconciliation of components. The Adams approach is the ideal tactic to adopt in this situation. Saturation and Shade The value of shade reflects the qualities of quick discovery and low light. With the help of German Vehicle Identification, the street recognisable proof technique is being tested. This project has an HTML and CSS UI framework, and Flask is used to deploy both the model and the framework.The UI framework
collects the essential inputs to estimate water quality and feeds them to a machine learning model, which then displays the expected outcome on the page.

Item Type: Article
Subjects: AC Rearch Cluster
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 27 Dec 2023 06:08
Last Modified: 27 Dec 2023 06:25
URI: https://ir.vignan.ac.in/id/eprint/678

Actions (login required)

View Item
View Item