Tremendous growth of electronic finance arrived concurrently with financial fraud, in turn,
requiring the adoption of altered methods of fraud detection. This research work is …

The study is conducted to add a radial basis function (RBF) into the Support Vector Machine
(SVM) detection mechanism to increase the accuracy of mammographic image recognition …

This research paper proposes a unique method using the benefits of federated learning and
convolutional neural networks to find watermelon leaf diseases. In particular, the study …

It is widely acknowledged that being able to predict stock prices with accuracy remains the
crux of classical financial statements, and has a multipurpose function including benefits for …

Farmers may suffer considerable financial losses due to guava leaf infections, notably in
India, where guava planting is common. This study uses federated learning and …

Today, the continuously growing number of clients and transactions that involve financial
services over the internet makes it extremely vulnerable to fraud-related hazards. The …

The research employs the combination of CNNs and FL architecture to offer a new approach
to identifying and classifying sunflower leaf diseases. Four clients are used in the studies …

Following the advancements in agricultural AI, combining federated learning with CNNs
represents an innovative solution for addressing banana leaf disease. This study …

Rapid diagnosis of crop diseases at the early stages is an essential instrument to build up
agriculture adaptability, specifically for developing countries. The present work fails to …

The project is directed to accurately recognize strawberry leaf disease at different degrees of
severity by employing federated learning with the Convolutional Neural Network (CNN). A …