Research papers and publications I've contributed to
As a result of recent advances in deep learning, several breakthrough stories in modern medical diagnostics with data-driven insights into improving healthcare facilities' quality of treatment have arisen. Deep learning methods that perform well are significantly data-driven...
With the rise in the amount of news available today, the need for its classification has emerged. In this paper, we present methods for tagging news categories using different deep learning models along with a comparison of their effects. These models include single-channel CNN model, multichannel CNN model, and multimodal CNN model...
Diseases in plants have always been a major concern for the agriculture community. Due to the absence of competent ways for detection, they suffer from loss of crop yield every year. This particular subset of ML, deep learning (DL) seemed to have shown much better performance in terms of accuracy...
Groundbreaking papers I'm currently reading or plan to read