Cybersecurity knowledge graphs construction and quality assessment

H Li, Z Shi, C Pan, D Zhao, N Sun - Complex & Intelligent Systems, 2024 - Springer
Cyber-attack activities are complex and ever-changing, posing severe challenges to
cybersecurity personnel. Introducing knowledge graphs into the field of cybersecurity helps …

Explainable AI for enhanced interpretation of liver cirrhosis biomarkers

G Arya, A Bagwari, H Saini, P Thakur… - IEEE …, 2023 - ieeexplore.ieee.org
Liver cirrhosis is a terminal pathological result of chronic liver damage, illicit drugs,
hepatotoxicity, and non-alcoholic steatohepatitis. Assessment of liver cirrhosis via non …

[PDF][PDF] Optimal multi-dimension operation in power systems by an improved artificial hummingbird optimizer

S Sarhana, A Shaheen, R El-Sehiemy… - Hum.-Centric Comput. Inf …, 2023 - hcisj.com
Optimal power flow (OPF) is a restricted optimization problem that requires optimizing
control variable settings to reach the best collection of operating, technical, and secure …

High-efficacy global optimization of antenna structures by means of simplex-based predictors

S Koziel, A Pietrenko-Dabrowska - Scientific Reports, 2023 - nature.com
Abstract Design of modern antenna systems has become highly dependent on
computational tools, especially full-wave electromagnetic (EM) simulation models. EM …

Blockchain and internet of things in healthcare systems: prospects, issues, and challenges

KM Abiodun, EA Adeniyi, JB Awotunde… - … with Blockchain and …, 2022 - taylorfrancis.com
The rapid development in information technologies is making a big change to the health
sector. The method of prescription, diagnosis and sharing of vital health information is still …

Recognition of handwritten medical prescription using signature verification techniques

S Rani, AU Rehman, B Yousaf, HT Rauf… - … Methods in Medicine, 2022 - Wiley Online Library
Patient record keeping plays a vital role in diagnoses and cures. Due to a shortage of time,
most doctors write prescriptions manually in Pakistan. At times, it becomes difficult for …

Early mental stress detection using q-learning embedded starling murmuration optimiser-based deep learning model

SKR Moosavi, MH Zafar, F Sanfilippo, MN Akhter… - IEEE …, 2023 - ieeexplore.ieee.org
Stress affects individual of all ages as a regular part of life, but excessive and chronic stress
can lead to physical and mental health problems, decreased productivity, and reduced …

Lightweight authentication scheme for massive MIMO on Internet of Things connectivity

A Dwivedi, R Agarwal, PK Shukla - Physical Communication, 2023 - Elsevier
Massive MIMO is an essential technology in developing 5G networks and a concept that
may be applied to other wireless systems. However, the advantages of adopting massive …

Synchronization of Tree Parity Machines using nonbinary input vectors

M Stypiński, M Niemiec - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Neural cryptography is the application of artificial neural networks (ANNs) in the subject of
cryptography. The functionality of this solution is based on a tree parity machine (TPM). It …

EfficientNets transfer learning strategies for histopathological breast cancer image analysis

SO Folorunso, JB Awotunde, YP Rangaiah… - … Journal of Modeling …, 2024 - World Scientific
Breast cancer (BC) is one of the major principal sources of high mortality among women
worldwide. Consequently, early detection is essential to save lives. BC can be diagnosed …