Deep learning models were developed to predict agricultural land suitability and soil quality for precision agriculture. TabTransformer achieved the highest accuracy (97.40%) on augmented data, demonstrating the potential of deep learning for structured agricultural data.
Oct 28, 2025
This study presents a deep neural network and transformer-based framework for classifying Bengali texts into saint and common forms, with SahajBERT achieving the best performance. The integration of LIME enhances interpretability, providing insights into stylistic cues aligned with linguistic expectations.
Oct 28, 2025

Soft computing covers fuzzy sets, artificial neural networks, probabilistic reasoning, genetic algorithms, and combined approaches for computing applications.
Jan 4, 2022

This paper presents a Generative Adversarial Network (GAN)-based technique that generates new Jamdani textile patterns from user-input sketches, mimicking traditional designs. We created a unique Jamdani motif dataset and achieved satisfactory results using the pix2pix model, potentially advancing research in this area.
Dec 31, 2020

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 iterations to train than most other comparable methods. We employ Transfer Learning on ResNet-50, a state-of-the-art deep Convolutional Neural Network Model, pretrained on ImageNet dataset.
Oct 6, 2020

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 Jamdani Noksha Dataset. Try the app:
Jul 3, 2020