output
20122026
most citedAccelerating Bianchi Type-V Cosmology with Perfect Fluid and Heat Flow in Saez-Ballester Theory

31 citations

11 papers

cs.LG2026★ 9 cited

Federated Learning over Blockchain-Enabled Cloud Infrastructure

Saloni Garg, Amit Sagtani, Kamal Kant Hiran

The rise of IoT devices and the uptake of cloud computing have informed a new era of data-driven intelligence. Traditional centralized machine learning models that require a large…

cs.LG2026★ 10 cited

ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset

Saloni Garg, Ukant Jadia, Amit Sagtani +1

Automated classification of electrocardiogram (ECG) signals is a useful tool for diagnosing and monitoring cardiovascular diseases. This study compares three traditional machine le…

cs.LG2023

Can neural networks count digit frequency?

Padmaksh Khandelwal

In this research, we aim to compare the performance of different classical machine learning models and neural networks in identifying the frequency of occurrence of each digit in a…

cs.CR2022★ 10 cited

An Efficient Light-weight LSB steganography with Deep learning Steganalysis

Dipnarayan Das, Asha Durafe, Vinod Patidar

Active research is going on to securely transmit a secret message or so-called steganography by using data-hiding techniques in digital images. After assessing the state-of-the-art…

cs.CR2022★ 19 cited

A novel conservative chaos driven dynamic DNA coding for image encryption

Vinod Patidar, Gurpreet Kaur

In this paper, we propose a novel conservative chaotic standard map-driven dynamic DNA coding (encoding, addition, subtraction and decoding) for the image encryption. The proposed…

cs.CR2022★ 13 cited

Image Encryption using fractional integral transforms: Vulnerabilities, threats and future scope

Gurpreet Kaur, Rekha Agarwal, Vinod Patidar

With the enormous usage of digital media in almost every sphere from education to entertainment, the security of sensitive information has been a concern. As images are the most fr…