Predicting Agricultural Land Suitability and Soil Quality: A Deep Learning Approach for Precision Agriculture
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
Explainable Bangla Linguistic Style Classification into Saint and Common Forms: A Deep Neural Network and Transformer-Based Approach with LIME-Based Interpretability
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
A GAN-BERT Based Approach for Bengali Text Classification with a Few Labeled Examples
This paper introduces a GAN-BERT based model for Bengali text classification, addressing the challenge of limited labeled data, and demonstrates its superior performance over traditional BERT models on hate speech and fake news datasets, particularly with small training samples.
Dec 13, 2022