Data Provenance in Healthcare: Approaches, Challenges, and Future Directions

M Ahmed, AR Dar, M Helfert, A Khan, J Kim - Sensors, 2023 - mdpi.com
Data provenance means recording data origins and the history of data generation and
processing. In healthcare, data provenance is one of the essential processes that make it …

Comparative experiments of V2X security protocol based on hash chain cryptography

SAA Hakeem, MAA El-Gawad, HW Kim - Sensors, 2020 - mdpi.com
Vehicle-to-everything (V2X) is the communication technology designed to support road
safety for drivers and autonomous driving. The light-weight security solution is crucial to …

SCPLBS: A smart cooperative platform for load balancing and security on SDN distributed controllers

H Zhong, J Sheng, Y Xu, J Cui - Peer-to-peer Networking and Applications, 2019 - Springer
Abstract Software-Defined Networking (SDN) is a network architecture which has received
much attention in recent years. It represents the future of network industry. As the Internet …

Parallel RC4 Key Searching System Based on FPGA

MM Jothi, M Priya, V Manjula… - International Journal of …, 2016 - papers.ssrn.com
This paper presents an effective fieldprogrammable gate array (FPGA)-based hardware
implementation of a parallel key searching system for the brute-force attack on RC4 …

Construction and Application of a New Metal Random Matrix‐Based Theory in a Numerical Phantom of the Metaverse NFT

H Wang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
As the metaverse is hot, nonhomogenized tokens (NFT) as digital artwork identifiers present
different characteristics and application values from other homogenized tokens, and their …

VANET cluster-based routing protocol with link breakage handling: introduction to hybrid optimization algorithm

RK Mahesh, SS Jawaligi - Signal, Image and Video Processing, 2024 - Springer
Vehicular networks (VANETs) are a subset of wireless ad hoc networks that enable
communication between moving items and/or with the underlying road infrastructure. More …

Quantum Algorithms for Intelligent Optimisation in Battery Manufacturing

A Kumar, RVV Krishna, V Satyanarayana… - Real-World Challenges …, 2024 - igi-global.com
The exploration chapter investigates the operation of amount algorithms for intelligent
optimisation in battery manufacturing processes. Using the principles of amount computing …

Efficient Power Grid Management Using Quantum Computing and Machine Learning

S Aslam, G Tabita, JSVG Krishna… - Real-World Challenges …, 2024 - igi-global.com
This research work aims to explore a new approach to enhance power grid management
efficiency by combining machine learning with quantum computing. This groundbreaking …

Machine Learning-Driven Design of Quantum Batteries for Sustainable Energy Storage

PR Kale, KA Dongre, BC Pattanaik… - Real-World Challenges …, 2024 - igi-global.com
This exploration composition investigates the new conception of applying machine literacy
ways to develop amount batteries, adding the possibilities for sustainable energy …

[PDF][PDF] A comparative analysis of cognitive architecture

A Nancy, DM Balamurugan… - International Journal of …, 2016 - researchgate.net
In this paper, we discussing about a theoretical comparison among five of the most popular
cognitive architectures: ACT-R, SOAR, LIDA, CLARION and EPIC. These architectures are …