Multiclass Paddy Disease Detection Using Filter Based Feature Transformation Technique

N Bharanidharan, SRS Chakravarthy… - IEEE …, 2023 - ieeexplore.ieee.org
Pests and diseases are the big issues in paddy production and they make the farmers to
lose around 20% of rice yield world-wide. Identification of rice leaves diseases at early stage …

An efficient ensemble method using K-fold cross validation for the early detection of benign and malignant breast cancer

TR Mahesh, AC Kaladevi, JM Balajee… - International …, 2022 - publisher.uthm.edu.my
In comparison to all other malignancies, breast cancer is the most common form of cancer,
among women. Breast cancer prediction has been studied by several researchers and is …

ML algorithms for providing financial security in banking sectors with the prediction of loan risks

TR Mahesh, V Vinoth Kumar, HK Shashikala… - Artificial Intelligence and …, 2023 - Springer
In the field of accounting and finance, especially in this post-COVID-19 scenario, assessing
financial credit risk is very important and crucial. In the current situation, there are significant …

Automated heart disease prediction using improved explainable learning-based technique

PC Bizimana, Z Zhang, AH Hounye, M Asim… - Neural Computing and …, 2024 - Springer
Heart disease (HD) stands as a major global health challenge, being a predominant cause
of death and demanding intricate and costly detection methods. The widespread impact of …

Identification and classification of scoliosis using CNN and SVM algorithms

TR Mahesh, P Shrestha, A Singh, I Sarraf… - International Journal of …, 2022 - ijitra.com
Scoliosis is one of the most common diseases that is thrown under the radar. The lateral
curvature and rotation seen in the vertebrae of the spinal column is classified in mostly 2 …

Prediction of Crop Yield Based-on Soil Moisture using Machine Learning Algorithms

TR Mahesh - … Journal of Information Technology, Research and …, 2023 - ijitra.com
Agriculture planning is playing an important role as the economic growth is very high day by
day in our daily life. There is lot of research study going on as there are few important issues …

Detection of Covid-19 from X-ray Images using Deep Learning Techniques

A Srivastava, VV Kumar, TR Mahesh - International Journal of Data …, 2022 - ijdiic.com
Abstract Machine Learning (ML) based forecast systems have demonstrated their
significance results in detecting several diseases. ML models have for some time been …

ML based approach for covid-19 future forecasting

A Srivastava, VV Kumar - International Journal of Data Informatics and …, 2022 - ijdiic.com
ML based forecast systems have demonstrated their significance in expecting the
preoperative result in to further develop independent direction in regards to the future course …

Early Detection of Cancer using Machine Learning (ML) Techniques

TR Mahesh, V Kumar - … Journal of Information Technology, Research and …, 2023 - ijitra.com
Early detection of cancer sickness leads to rapid treatment, reducing the risk of morbidity
and mortality. The diagnosis of oral cancer continues to be a challenge for dental careers …

An Approach to Detect CAD with Full Confidence Using Machine Learning Techniques

S Behera, IS Misra - … on Circuits, Power and Intelligent Systems …, 2023 - ieeexplore.ieee.org
The main aim of this paper is to detect the Coronary Artery Disease (CAD) from the
phonocardiogram (PCG) signals of human heart sounds using different machine learning …