A hybrid crypto-compression model for secure brain mri image transmission

S Padhy, S Dash, TN Shankar, V Rachapudi… - Multimedia Tools and …, 2024 - Springer
Medical image encryption is a major issue in healthcare applications where memory,
energy, and computational resources are constrained. The modern technological …

Identification of polyp from colonoscopy images by deep belief network based polyp detector integration model

AB Dash, S Dash, S Padhy, RK Das… - … on Pervasive Health …, 2023 - publications.eai.eu
Cancer is a disease involving unusual cell growth likely to spread to other parts of the body.
According to WHO 2020 report, colorectal malignancy is the globally accepted second …

An Optimized Point Multiplication Strategy in Elliptic Curve Cryptography for Resource-Constrained Devices

NH Sabbry, AB Levina - Mathematics, 2024 - mdpi.com
Elliptic curve cryptography (ECC) is widely acknowledged as a method for implementing
public key cryptography on devices with limited resources thanks to its use of small keys. A …

Histopathological Colorectal Cancer Image Classification by Using Inception V4 CNN Model

R Patnaik, PS Rath, S Padhy, S Dash - International Conference on …, 2022 - Springer
It is crucial to analyze colorectal cancer histological pictures with objectivity. One of the main
causes of mortality globally is colorectal cancer (CRC), sometimes referred to as bowel …

Smart City Ecosystem Using Blockchain Technology and Its Impact on the Environment

S Padhy, P Suman, N Kumar, S Dash… - … -Based Solutions for …, 2024 - igi-global.com
A smart city is a complex system that combines various technologies to provide services and
address urban challenges. It aims to minimize human involvement in management …

Smart City Charging Infrastructure: Energy-Driven Services for Electric Vehicle Charging Points With Mobile Assistance

RA Sundaramoorthy, S Palaniyappan… - … -Based Solutions for …, 2024 - igi-global.com
In the age of electric vehicle (EV) proliferation, a robust charging infrastructure is vital for
sustainable urban mobility. This chapter proposes a systematic plan for deploying EV …

Rare Diseases Severity Prediction System Using a Machine Learning-Based Technique

NB Bahadure, S Dash, S Padhy… - … for Innovations in …, 2023 - ieeexplore.ieee.org
The development of predictive models for rare diseases using machine learning is an
important area of research with the potential to improve healthcare outcomes. Rare diseases …

[PDF][PDF] Chronological Evolution: Development and Identification of an Odia Handwritten Character Dataset Using Deep Learning

R Panda, S Dash, S Padhy, RK Das - academia.edu
There is a level of saturation obtained about Online or Printed character recognition about
Indian script. Comparing the research of different Indian languages obtained yet a few …