Author details
Author's Published Works
Author details
Showing 1-6 of 6 results
- Sort
Filter Results
Show
Sort By
Results
ResNet vs Inception-v3 vs SVM: A Comparative Study of Deep Learning Models for Image Classification of Plant Disease Detection
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
Year: 2024 | Conference Paper |
Cited by: Papers (2)
One of the primary reasons for decreased crop yields is the presence of plant diseases, which also leads to substantial financial losses for farmers and the entire agricultural industry. It is possible to lessen agricultural losses and stop the spread of diseases by detecting and diagnosing plant diseases early. Deep learning models have shown great potential in recent years to detect and diagnose...Show More
Prediction of personality for mental health detection using hybrid deep learning model
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Millions of people all over the globe struggle with some form of mental illness, so it’s clear that mental health is an integral part of overall health and well-being. Individuals with mental health problems have much better results when they are diagnosed and treated early on. Results from applying machine learning algorithms for the early diagnosis and treatment of mental health issues have been...Show More
Improved Diagnosis Accuracy Using Machine Learning for Plant Diseases
Manik Rakhra;Dalwinder Singh;Arun Singh;Vikrant Sharma;S Dhakshinesh;MD Khadimul Islam Zim;Puneet Thapar;Baljinder Kaur;Harpreet Singh
2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
In agricultural fields, leaf diseases are a prevalent problem, and they often result in significant crop losses. The early discovery of leaf diseases is critical for reducing the amount of crop damage caused by the disease and preventing its further spread. Deep learning methods, such as convolutional neural networks (CNN), have shown a lot of potential in recent years for accurately diagnosing le...Show More
Secure Image Encryption using Playfair Cipher with Quadrant-Based Division
Manik Rakhra;Dalwinder Singh;Arun Singh;Baljinder Kaur;MD Khadimul Islam Zim;Janpreet Singh
2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Numerous photo encryption techniques have been presented in the previous decade, thanks to the increased focus on image encryption within data security research. Image encryption is different from textual content encryption due to the intrinsic properties of images, such as their mass records capacity and excessive records redundancy, making it far more challenging to address them utilising standa...Show More
Investigation of Fluid-Structure Interaction in Aerodynamic Flows using Coupled Computational Methods
2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM)
Year: 2023 | Conference Paper |
Fluid-structure interaction is a challenging problem in computational fluid dynamics and has gained significant attention in recent years. In this review paper, we investigate the fluid-structure interaction in aerodynamic flows using coupled computational methods. We begin by providing an overview of the background and motivation for this study. We then discuss the different computational methods...Show More
Mental health detection and anticipation analysis using Deep Learning
2023 International Conference on Computer Communication and Informatics (ICCCI)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
There has been more research into how deep learning could help find, diagnose, and treat mental health disorders because of how common they are, how important. When applied to the study of human behaviour, deep learning techniques may reveal hitherto unexplored pathways, diagnosing mental health issues, forecasting the course of diseases, and tailoring and improving treatment plans. Despite the pr...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.