Early Renaissance Art Generation Using Deep Convolutional Generative Adversarial Networks

Enhancing Segmentation Efficiency: A 2D U-Net Approach with 3D-to-2D Conversion for Medical Image Analysis

A Sha, AK ER, DS Menon… - 2023 7th International …, 2023 - ieeexplore.ieee.org
The efficient and reliable segmentation of three dimensional (3D) medical images is a
critical task in many diagnostic and therapy operations. Traditional segmentation methods …
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Spatial Analysis-Enhanced Dermatological Image Classification for Paronychia

K Anvesh, JV Krishna, A Sha… - 2023 7th …, 2023 - ieeexplore.ieee.org
This research study proposed a novel methodology that enhances image classification
accuracy by incorporating spatial analysis-driven confidence scores. The proposed pipeline …
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Enhancing Stroke Lesion Classification with Conditional GAN: Leveraging Unsupervised Clustering and Class-Conditioned Synthetic Data

A Sha, KM Mithra, SJA Sai, M Samhitha… - 2023 7th …, 2023 - ieeexplore.ieee.org
This research study proposes an innovative approach to tackle the challenges of limited
data availability and class imbalance in stroke lesion classification. We adopt a two-step …
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An Integration of Indian Philosophy and Machine Learning for Human-like Cognition

A Sha, AR Inture, J Joseph, PPM Nair… - 2023 2nd …, 2023 - ieeexplore.ieee.org
This paper introduces a novel framework that melds the profound tenets of Indian
philosophy with AI and ML. Our goal is to create models that replicate human cognition …
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Generative AI-Driven Approach to Converting Numerical Code into Mathematical Functions

ERA Krishna, A Sha, K Anvesh… - 2023 2nd …, 2023 - ieeexplore.ieee.org
In the era of Artificial Intelligence (AI), the role of Generative AI models has witnessed a
paradigm shift in addressing programming challenges. This research delves into the …
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