Optimization of random telegraph noise characteristics in memristor for true random number generator

MS Song, TH Kim, H Hwang, S Ahn… - Advanced Intelligent …, 2023 - Wiley Online Library
Memristor devices can be utilized for various computing applications, and stochastic
computing is one of them. The intrinsic stochastic characteristics of the memristor cause …

Blood-inspired random bit generation using microfluidics system

I Yoon, JH Han, BU Park, HJ Jeon - Scientific Reports, 2024 - nature.com
The development of random number generators (RNGs) using speckle patterns is pivotal for
secure encryption key generation, drawing from the recent statistical properties identified in …

Efficient security level in wireless sensor networks (WSNs) using four-factors authentication over the Internet of Things (IoT)

A Alsumayt, M Alshammari, ZM Alfawaer… - PeerJ Computer …, 2024 - peerj.com
With the increasing demand for the use of technology in all matters of daily life and business,
the demand has increased dramatically to transform business electronically especially …

An assessment of machine learning and deep learning techniques with applications

S Sharma, R Mittal, N Goyal - ECS Transactions, 2022 - iopscience.iop.org
Nowadays, sheer amount of data is being generated by plethora of sources, like science,
business, medicine, sports, geography, environment etc. This produced data may be …

Analyses of unpredictable properties of a wind-driven triboelectric random number generator

MS Kim, IW Tcho, YK Choi - Scientific Reports, 2023 - nature.com
Wind-driven triboelectric nanogenerators (W-TENGs) are a promising candidate for an
energy harvester because wind itself possesses unexhausted, ubiquitous, and clean …

Cloud computing in medicine: Current trends and possibilities

DK Sharma, RSK Boddu, NK Bhasin… - … on Advancements in …, 2021 - ieeexplore.ieee.org
Cloud Computing is an Internet computing model in which client PCs access pooled
resources, software, and data via web/cloud servers. Health IT refers to computer IT systems …

Implementation of Data Mining Tools to Classify Protein Structural Class from Residue Based Averaged NMR Chemical Shifts

SS Kumar, D Kapila, RSK Boddu… - … on Advancements in …, 2021 - ieeexplore.ieee.org
To understand function of proteins in living bodies we need to derive the protein sequences
genome sequencing projects. For this purpose, we can use various tools or latest …

Optimisation of the execution time using hadoop-based parallel machine learning on computing clusters

BVV Siva Prasad, G Sucharitha… - Computer Networks, Big …, 2022 - Springer
Due to its growing popularity, the discipline of machine learning has been able to take
advantage of the large amount of data that is now available. Whilst data set sizes increase …

Machine learning based Energy management system for better optimisation of power in electric vehicles

S Nethagani, AS Yadav, S Kanagala… - 2021 5th …, 2021 - ieeexplore.ieee.org
An energy management strategy (EMS) is critical for hybrid electric vehicles (HEVs). Future
driving circumstances, on the other hand, have a significant impact on the EMS's efficacy …

Integration of Artificial Intelligence for a low-cost diagnosis of Diabetic Retinopathy

MS Ahmed, T Mithun, R Nagaraju… - 2021 5th …, 2021 - ieeexplore.ieee.org
Patients with Diabetic Retinopathy (DR) who do not receive appropriate diagnosis and
treatment may go blind as the disease affects the retina's blood vessels. Diabetic retinopathy …