Classification of monkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm
The world is still trying to recover from the devastation caused by the wide spread of COVID-
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …
Low-computation adaptive saturated self-triggered tracking control of uncertain networked systems
In this paper, a low-computation adaptive self-triggered tracking control scheme is proposed
for a class of strict-feedback nonlinear systems with input saturation. By introducing two …
for a class of strict-feedback nonlinear systems with input saturation. By introducing two …
Modified sand cat swarm optimization algorithm for solving constrained engineering optimization problems
The sand cat swarm optimization algorithm (SCSO) is a recently proposed metaheuristic
optimization algorithm. It stimulates the hunting behavior of the sand cat, which attacks or …
optimization algorithm. It stimulates the hunting behavior of the sand cat, which attacks or …
[HTML][HTML] Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility
Understanding the usage demand of shared mobility systems in different areas of a city and
its determinants is crucial for planning, operation and management of the systems. This …
its determinants is crucial for planning, operation and management of the systems. This …
Research on synthesis of multi-layer intelligent system for optimal and safe control of marine autonomous object
The article presents the synthesis of a multi-layer group control system for a marine
autonomous surface vessel with the use of modern control theory methods. First, an …
autonomous surface vessel with the use of modern control theory methods. First, an …
Predicting students' academic performance with conditional generative adversarial network and deep SVM
The availability of educational data obtained by technology-assisted learning platforms can
potentially be used to mine student behavior in order to address their problems and …
potentially be used to mine student behavior in order to address their problems and …
Characteristics of channel eigenvalues and mutual coupling effects for holographic reconfigurable intelligent surfaces
As a prospective key technology for the next-generation wireless communications,
reconfigurable intelligent surfaces (RISs) have gained tremendous research interest in both …
reconfigurable intelligent surfaces (RISs) have gained tremendous research interest in both …
Encryption–decryption‐based event‐triggered consensus control for nonlinear MASs under DoS attacks
In this article, the consensus tracking problem is discussed for a class of discrete‐time
nonlinear multi‐agent systems (MASs) subject to denial‐of‐service (DoS) attacks. The …
nonlinear multi‐agent systems (MASs) subject to denial‐of‐service (DoS) attacks. The …
Application of the tomtit flock metaheuristic optimization algorithm to the optimal discrete time deterministic dynamical control problem
AV Panteleev, AA Kolessa - Algorithms, 2022 - mdpi.com
A new bio-inspired method for optimizing the objective function on a parallelepiped set of
admissible solutions is proposed. It uses a model of the behavior of tomtits during the search …
admissible solutions is proposed. It uses a model of the behavior of tomtits during the search …
Material property characterization and parameter estimation of thermoelectric generator by using a master–slave strategy based on metaheuristics techniques
Thermoelectric generators (TEGs) have gained significant interest as a sustainable energy
source, due to their ability to convert thermal energy into electrical energy through the …
source, due to their ability to convert thermal energy into electrical energy through the …