Deep learning models were developed to predict agricultural land suitability and soil quality for precision agriculture. TabTransformer achieved the highest accuracy (97.40%) on …
LIME was used to enhance the interpretability of model predictions, especially in cases of misclassification, contributing to the development of reliable and interpretable …
Soft computing covers fuzzy sets, artificial neural networks, probabilistic reasoning, genetic algorithms, and combined approaches for computing applications.
Handwritten character recognition is a significant research area, especially for languages like Bengali where quality OCR applications are scarce. Merging machine learning and deep …
We propose a solution which uses state-of-the-art techniques in Deep Learning to tackle the problem of Bengali Handwritten Character Recognition (HCR). Our method uses lesser …
An interactive application for generating Jamdani Motifs from user given strokes. This is a simple deployment of the Generative-Jamdani Engine derived from the model trained with …