[HTML][HTML] Representing uncertainty and imprecision in machine learning: A survey on belief functions
Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …
event. How to better interpret and manage uncertainty and imprecision play a vital role in …
A systematic literature review of soft set theory
Soft set theory, initially introduced through the seminal article “Soft set theory—First results”
in 1999, has gained considerable attention in the field of mathematical modeling and …
in 1999, has gained considerable attention in the field of mathematical modeling and …
Efficient DC motor speed control using a novel multi-stage FOPD (1+ PI) controller optimized by the Pelican optimization algorithm
This paper introduces a novel multi-stage FOPD (1+ PI) controller for DC motor speed
control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID …
control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID …
FCA-VBN: Fog computing-based authentication scheme for 5G-assisted vehicular blockchain network
Emerging technology known as intelligent transportation systems allows for seamless two-
way communication between moving vehicles and stationary infrastructure. Therefore, core …
way communication between moving vehicles and stationary infrastructure. Therefore, core …
Nonlinear FOPID controller design for pressure regulation of steam condenser via improved metaheuristic algorithm
Shell and tube heat exchangers are pivotal for efficient heat transfer in various industrial
processes. Effective control of these structures is essential for optimizing energy usage and …
processes. Effective control of these structures is essential for optimizing energy usage and …
[HTML][HTML] Fractional order controller design via gazelle optimizer for efficient speed regulation of micromotors
In this paper, the design of an efficient fractional-order proportional-integral-derivative
(FOPID) controller, tailored specifically for the regulation of micro direct current (DC) motors …
(FOPID) controller, tailored specifically for the regulation of micro direct current (DC) motors …
Autonomous driving test system under hybrid reality: The role of digital twin technology
MU Shoukat, L Yan, Y Yan, F Zhang, Y Zhai, P Han… - Internet of Things, 2024 - Elsevier
Autonomous vehicles have attracted attention as a result of enhancements in artificial
intelligence, the Internet of Things, and communication technologies. There is a priority for …
intelligence, the Internet of Things, and communication technologies. There is a priority for …
[HTML][HTML] Enhancing time-domain performance of vehicle cruise control system by using a multi-strategy improved RUN optimizer
This paper addresses the pressing concern of traffic safety by focusing on the optimization of
vehicle cruise control systems. While traditional control techniques have been widely …
vehicle cruise control systems. While traditional control techniques have been widely …
A novel artificial intelligence based multistage controller for load frequency control in power systems
The imbalance between generated power and load demand often causes unwanted
fluctuations in the frequency and tie-line power changes within a power system. To address …
fluctuations in the frequency and tie-line power changes within a power system. To address …
[HTML][HTML] Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation
Visual images observed by humans can be reconstructed from their brain activity. However,
the visualization (externalization) of mental imagery is challenging. Only a few studies have …
the visualization (externalization) of mental imagery is challenging. Only a few studies have …