10 citations · 16 across the 6 of their papers we have counts for
6 papers
A Tiered GAN Approach for Monet-Style Image Generation
FNU Neha, Deepshikha Bhati, Deepak Kumar Shukla +1
Generative Adversarial Networks (GANs) have proven to be a powerful tool in generating artistic images, capable of mimicking the styles of renowned painters, such as Claude Monet.…
Neural network interpretability with layer-wise relevance propagation: novel techniques for neuron selection and visualization
Deepshikha Bhati, Fnu Neha, Md Amiruzzaman +3
Interpreting complex neural networks is crucial for understanding their decision-making processes, particularly in applications where transparency and accountability are essential.…
From classical techniques to convolution-based models: A review of object detection algorithms
Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla +1
Object detection is a fundamental task in computer vision and image understanding, with the goal of identifying and localizing objects of interest within an image while assigning t…
Exploring AI Text Generation, Retrieval-Augmented Generation, and Detection Technologies: a Comprehensive Overview
Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla +2
The rapid development of Artificial Intelligence (AI) has led to the creation of powerful text generation models, such as large language models (LLMs), which are widely used for di…
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities
Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla +3
Medical imaging is essential in healthcare to provide key insights into patient anatomy and pathology, aiding in diagnosis and treatment. Non-invasive techniques such as X-ray, Mag…
Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance
Ben Ward, Deepshikha Bhati, Fnu Neha +1
This study explores the effectiveness of AI tools in enhancing student learning, specifically in improving study habits, time management, and feedback mechanisms. The research focu…