Research Papers

Explore my research contributions in AI, Computer Science, and Engineering. Click on each paper’s title to read more about the study, including its focus, findings, and publication details.

My Papers

1. Chapter in the book AI in Agriculture for Sustainable and Economic Management called "Artificial Intelligence: Towards sustainable, smart, and green agriculture"

This chapter explores how AI revolutionizes conservation agriculture by enhancing precision farming, optimizing resource use, and improving ecosystem preservation through advanced data analytics and predictive modeling.

2. Paper in the 3rd International Conference on Sentiment Analysis and Deep Learning called "Sustainable Agriculture Through IoT-Enabled Vertical Farming"

This paper explores an advanced IoT-enabled vertical farming system designed for urban agriculture, featuring precise environmental control and remote monitoring to enhance sustainability and crop efficiency.

3. Paper in the 5th International Conference on Image Processing and Capsule Networks called "MNSIT Handwritten Digit Recognition using CNN"

This paper presents an improved Convolutional Neural Network (CNN) model for handwritten digit recognition using the MNIST dataset, achieving high classification accuracy through hyperparameter optimization and detailed analysis of model performance.

 

4. Chapter in the book Artificial Intelligence For Sustainable Engineering And Management called "AI Engineering Applications"

The paper explores the development and implementation of a smart street lighting system that leverages IoT and AI technologies to improve energy efficiency, reduce costs, and enhance public safety through adaptive lighting and real-time environmental monitoring.