SEI2RS malware propagation model considering two infection rates in cyber–physical systems
Z Yu, H Gao, D Wang, AA Alnuaim, M Firdausi… - Physica A: Statistical …, 2022 - Elsevier
Cyber–physical systems (CPSs) are new types of intelligent systems that integrate
computing, control, and communication technologies, and bridge cyberspace and physical …
computing, control, and communication technologies, and bridge cyberspace and physical …
Detection of actuator enablement attacks by Petri nets in supervisory control systems
The feedback control system with network-connected components is vulnerable to
cyberattacks. We study a problem of attack detection in supervisory control of discrete-event …
cyberattacks. We study a problem of attack detection in supervisory control of discrete-event …
Mathematical modeling and simulation for COVID-19 with mutant and quarantined strategy
A new nonlinear dynamics model named SEIMQR (Susceptible-Exposed-Infected-Mutant-
Quarantined-Recovered) is proposed to study the transmission mechanism of COVID-19 …
Quarantined-Recovered) is proposed to study the transmission mechanism of COVID-19 …
Unlocking Online Insights: LSTM Exploration and Transfer Learning Prospects
Abstract Machine learning algorithms can improve the time series data analysis as
compared to the traditional methods such as moving averages or auto-regressive …
compared to the traditional methods such as moving averages or auto-regressive …
Artificial intelligence and stochastic optimization algorithms for the chaotic datasets
Almost every natural process is stochastic due to the basic consequences of nature's
existence and the dynamical behavior of each process that is not stationary but evolves with …
existence and the dynamical behavior of each process that is not stationary but evolves with …
A comparative study of the genetic deep learning image segmentation algorithms
W Wang, M Yousaf, D Liu, A Sohail - Symmetry, 2022 - mdpi.com
Medical optical imaging, with the aid of the “terahertz tomography”, is a novel medical
imaging technique based on the electromagnetic waves. Such advanced imaging …
imaging technique based on the electromagnetic waves. Such advanced imaging …
[HTML][HTML] Explainable machine learning of the breast cancer staging for designing smart biomarker sensors
In medical diagnostics, smart biomarker sensors are used to detect and monitor biomarker
thresholds. Recent bariatric research has shown a connection between obesity and an …
thresholds. Recent bariatric research has shown a connection between obesity and an …
Hybrid algorithm for the classification of fractal designs and images
The fractal patterns are recursive patterns and are self-similar in nature. The fractal geometry
provides better understanding of natural patterns as compared to the Euclidean geometry …
provides better understanding of natural patterns as compared to the Euclidean geometry …
COVID-19 variants and transfer learning for the emerging stringency indices
The pandemics in the history of world health organization have always left memorable
hallmarks, on the health care systems and on the economy of highly effected areas. The …
hallmarks, on the health care systems and on the economy of highly effected areas. The …
Impact of fractals emerging from the fitness activities on the retail of smart wearable devices
F Wang, A Sohail, Q Tang, Z Li - Fractals, 2024 - World Scientific
The smart wearable devices that can track the fitness activities are getting famous these
days due to their easy-to-use features. The fitness trackers can work for an individual in a …
days due to their easy-to-use features. The fitness trackers can work for an individual in a …