Swati Gautam

Swati Gautam received her M.E. Degree from the Department of Electronics and Communication Engineering & specialization in Microwave Engineering at Jabalpur Engineering College (JEC), Jabalpur, Madhya Pradesh India, in 2018. She is a Gold Medalist in B.E. from Rajiv Gandhi Technical University with 3 Gold Medals. She is currently pursuing her Ph.D degree in Image Processing in the Department of Electronics and Communication Engineering from Maulana Azad National Institute of Technology (MANIT), Bhopal, Madhya Pradesh. Her current research interest includes Image Segmentation and Classification, Computer Vision and Deep Learning.

Publications

Adaptive CNN Classifier for Remote Water-Body Detection and Quality Assessment
Adaptive CNN Classifier for Remote Water-Body Detection and Quality Assessment
Swati Gautam, Vivek Patel. © 2024. 24 pages.
This chapter focusses on adaptive convolutional neural network (ACNN) classifier, an innovative approach that tackles the challenges of constrained time, cost, and lacking...
IoT-Enabled Machine Learning-Based Smart and Sustainable Agriculture
IoT-Enabled Machine Learning-Based Smart and Sustainable Agriculture
Vivek Patel, Swati Gautam, Vijayshri Chaurasia, Sunil Kureel, Alok Kumar, Rajeev Kumar Gupta. © 2024. 25 pages.
In this chapter, an elaborated description of machine learning (ML)-based IoT system for smart and sustainable agriculture in modern perspective is presented. Idea for future...
A Review on Image Super-Resolution Using GAN
A Review on Image Super-Resolution Using GAN
Ajay Sharma, Bhavana Shrivastava, Swati Gautam. © 2023. 20 pages.
This study focuses on the utilization of generative adversarial networks (GANs) for generating high-resolution facial images from low-resolution inputs, which is vital for...
Critical Review Analysis on Deep Learning-Based Segmentation Techniques for Water-Body Extraction
Critical Review Analysis on Deep Learning-Based Segmentation Techniques for Water-Body Extraction
Swati Gautam, Ajay Sharma, Bhavana Prakash Shrivastava. © 2023. 16 pages.
The rapid advancement in the applications of remote sensing imagery had attracted considerable attention from researchers for digital image analysis. Researchers had performed...