Gliomas Disease Prediction: An Optimized Ensemble Machine Learning-Based Approach

J Thakur, C Choudhary, H Gobind… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The most frequent primary brain tumors are gliomas, which call for precise prognostic
models for early detection and individualized care. For optimum treatment planning and …

Cloud Security: Challenges and Strategies for Ensuring Data Protection

C Choudhary, N Vyas, UK Lilhore - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Critical data and systems are now more frequently kept and analyzed in the cloud as a result
of the cloud computing industry's quick development. As enterprises trust valuable …

An Optimized Sign Language Recognition Using Convolutional Neural Networks (CNNs) and Tensor-Flow

C Choudhary, N Vyas, UK Lilhore - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Sign language is an essential means of communication for people with hearing disabilities.
However, there is often a communication gap between hearing and non-hearing individuals …

AI-Driven Drug Discovery: Unravelling the Potential of Generative Adversarial Networks (GANs) in Pharmaceutical Research

SR Burri, MY Diallo, L Sharma… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This paper examines how AI has revolutionised drug development and medical research
using the ChEMBL dataset. The primary study areas are AI-driven therapeutic target …

Exploring the Critical Role of Edge Computing in Enhancing IoT Performance and Security

C Choudhary, N Vyas - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The Web of Things is an organization of interconnected gadgets and sensors intended to
speak with one another and trade data flawlessly. The enormous measure of information …

Chronic Kidney Disease Prediction Using Robust Approach in Machine Learning

N Vyas, V Sharma, D Balla - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The degenerative condition known as Chronic Kidney Disease (CKD) impairs kidney
function and causes waste products to build up in the body. Early CKD prediction and …

Automating Data Analysis with Python: A Comparative Study of Popular Libraries and their Application

P Bhardwaj, C Choudhury… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
In areas like businesses, finance, and science, data analysis plays a very important role.
Data analysis needs to be automated to improve productivity and eliminate human error as …

Utilizing Dynamic QR Codes to Enhance Secure Payment Transactions: An Approach to Secure Computer based Transactions

C Choudhary, IU Haq, AH Rather - … International Conference on …, 2023 - ieeexplore.ieee.org
Quick Response code model plays an important role in mobile security and payments
market. All QR code looks similar but technology behind these makes it unique. For the …

Distributed Deep Reinforcement Learning with Graph Neural Networks for Personalized Drug Interaction Analysis

N Vyas, NN Jadhav, VV Raje… - … Conference on Image …, 2023 - ieeexplore.ieee.org
This research pivots around the intricate domain of personalized drug interaction analysis,
harnessing the power of Graph Neural Networks (GNNs) and Deep Reinforcement Learning …

Hybrid Convolutional-Recurrent Neural Network Architecture with Attention Mechanisms for Multi-modal Medical Image Segmentation

N Vyas, A Gudur, AI Tamboli - 2023 Seventh International …, 2023 - ieeexplore.ieee.org
In the realm of multi-modal medical image segmentation, this investigation centers its focus
on brain and liver tumors. Its core mission is to birth a pioneering Hybrid Convolutional …