2 publications

• Published Subscription 22 Nov 2023

  Support Vector Machine-based Flower Image Classification for Commercial Applications

  By Shubham Sarvade, Sneha Mhatre, Aditi Sawant, Babeetta Bbhagat

  Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …

  Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article →

• Published Subscription 15 Apr 2023

  Agile Hybrid Education System: Adaptable, Innovative, and Effective

  By Sanket H. Pednekar, Amey Shinde, Babeetta Bbhagat

  Abstract: The proposed hybrid learning management system (LMS) aims to provide an automated system for the manual processes by utilizing computerized equipment and software, which can effectively store and manage valuable data for an extended period of time, with easy accessibility and manipulation. This system can ensure error-free, secure, reliable, and fast management, allowing users to focus on other activities instead of record-keeping. As a result, businesses are able to maintain …

  Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 13–19 Read article →