Fuad E. Alsaadi
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View article: Variational autoencoder‐guided data augmentation for imbalanced medical diagnostics
Variational autoencoder‐guided data augmentation for imbalanced medical diagnostics Open
Class imbalance is a persistent challenge in medical classification tasks, where instances of disease are often underrepresented. To tackle this issue, we introduce a pioneering data augmentation framework that merges variational autoencod…
View article: Social Entropy Informer: A Multi-Scale Model-Data Dual-Driven Approach for Pedestrian Trajectory Prediction
Social Entropy Informer: A Multi-Scale Model-Data Dual-Driven Approach for Pedestrian Trajectory Prediction Open
Pedestrian trajectory prediction is fundamental in various applications, such as autonomous driving, intelligent surveillance, and traffic management. Existing methods generally fall into two categories: model-driven approaches and data-dr…
View article: Physics-informed data-driven control for energy-efficient spherical robot maneuvering
Physics-informed data-driven control for energy-efficient spherical robot maneuvering Open
Spherical robots operating in unstructured environments face substantial challenges due to their nonlinear, underactuated dynamics and onboard power limitations. Traditional model-based controllers often lose effectiveness under dynamic un…
View article: EEG-Infinity: A Mathematical Modeling-Inspired Architecture for Addressing Cross-Device Challenges in Motor Imagery
EEG-Infinity: A Mathematical Modeling-Inspired Architecture for Addressing Cross-Device Challenges in Motor Imagery Open
The distribution of electroencephalogram (EEG) data generally varies across datasets due to the huge difference between the physical structure of brain-computer interface devices, known as cross-device variability. Such variability poses g…
View article: Genetic algorithm-based secure cooperative control for high-order nonlinear multi-agent systems with unknown dynamics
Genetic algorithm-based secure cooperative control for high-order nonlinear multi-agent systems with unknown dynamics Open
Research has recently grown on multi-agent systems (MAS) and their coordination and secure cooperative control, for example in the field of edge-cloud computing. MAS offers robustness and flexibility compared to centralized systems by dist…
View article: Electric vehicle charging station planning with dynamic prediction of elastic charging demand: a hybrid particle swarm optimization algorithm
Electric vehicle charging station planning with dynamic prediction of elastic charging demand: a hybrid particle swarm optimization algorithm Open
This paper is concerned with the electric vehicle (EV) charging station planning problem based on the dynamic charging demand. Considering the dynamic charging behavior of EV users, a dynamic prediction method of EV charging demand is prop…
View article: A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests
A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests Open
As a popular nondestructive testing (NDT) technique, thermal imaging test demonstrates competitive performance in crack detection, especially for detecting subsurface cracks. In thermal imaging test, the temperature of the crack area is hi…
View article: An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing
An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing Open
In this paper, an improved generative adversarial network (GAN) is proposed for the crack detection problem in electromagnetic nondestructive testing (NDT). To enhance the contrast ratio of the generated image, two additional regulation te…
View article: Fast fixed-time synchronization of T–S fuzzy complex networks
Fast fixed-time synchronization of T–S fuzzy complex networks Open
In this paper, fast fixed-time (FDT) synchronization of T–S fuzzy (TSF) complex networks (CNs) is considered. The given control schemes can make the CNs synchronize with the given isolated system more fleetly than the most of existing resu…
View article: <i>H</i> <sub>∞</sub> State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocol
<i>H</i> <sub>∞</sub> State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocol Open
Research and Development Office, Ministry of Education, Kingdom of Saudi Arabia (Grant Number: HIQI-2-2019);
\n10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61903254).
View article: Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol
Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol Open
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View article: Distributed Auxiliary Particle Filtering With Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach
Distributed Auxiliary Particle Filtering With Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach Open
Deanship of Scientific Research; 10.13039/501100004054-King Abdulaziz University; 10.13039/501100001809-National Natural Science Foundation of China; 10.13039/501100004543-China Scholarship Council; Alexander von Humboldt Foundation of Ger…
View article: Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations
Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations Open
Deanship of Scientific Research; 10.13039/501100004054-King Abdulaziz University; 10.13039/501100001809-National Natural Science Foundation of China; 10.13039/501100004543-China Scholarship Council; Alexander von Humboldt Foundation of Ger…
View article: Adaptive decentralised control for large‐scale non‐linear non‐strict‐feedback interconnected systems with time‐varying asymmetric output constraints and dead‐zone inputs
Adaptive decentralised control for large‐scale non‐linear non‐strict‐feedback interconnected systems with time‐varying asymmetric output constraints and dead‐zone inputs Open
This study investigatesthe neural‐network (NN)‐based adaptive decentralised controller design issue for a class of large‐scale non‐linear non‐strict‐feedback interconnected systems with time‐varying asymmetric output constraints and dead‐z…
View article: Matrix Expression of Shapley Value in Graphical Cooperative Games
Matrix Expression of Shapley Value in Graphical Cooperative Games Open
This paper studies a class of cooperative games, called graphical cooperative games, where the internal topology of the coalition depends on a prescribed communication graph among players. First, using the semitensor product of matrices, t…
View article: Event‐triggered stabilisation for switched delayed differential systems: the input‐to‐state stability
Event‐triggered stabilisation for switched delayed differential systems: the input‐to‐state stability Open
In this study, the boundedness and the input‐to‐state stabilisation problems are investigated for a kind of switched delayed differential systems with exogenous disturbances. To reduce the communication burden, an event‐triggered strategy …
View article: <i>H</i> <sub>∞</sub> filtering for multi‐rate multi‐sensor systems with randomly occurring sensor saturations under the <i>p</i> ‐persistent CSMA protocol
<i>H</i> <sub>∞</sub> filtering for multi‐rate multi‐sensor systems with randomly occurring sensor saturations under the <i>p</i> ‐persistent CSMA protocol Open
In this study, the filtering problem is studied for a class of discrete networked multi‐rate multi‐sensor systems with randomly occurring sensor saturations under the p ‐persistent carrier sense multiple access (CSMA) protocol. A set of mu…
View article: SURVEY ON APPLICATIONS OF SEMI-TENSOR PRODUCT METHOD IN NETWORKED EVOLUTIONARY GAMES
SURVEY ON APPLICATIONS OF SEMI-TENSOR PRODUCT METHOD IN NETWORKED EVOLUTIONARY GAMES Open
Semi-tensor product (STP) method of matrices has received more and more attention from the communities of both engineering and economics in recent years. This paper presents a comprehensive survey on the applications of STP method in the t…
View article: VIKOR method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment
VIKOR method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment Open
In this article, the VIKOR method is proposed to solve the multiple criteria group decision making (MCGDM) with 2-tuple linguistic neutrosophic numbers (2TLNNs). Firstly, the fundamental concepts, operation formulas and distance calculatin…
View article: Coexisting infinitely many attractors in a new chaotic system with a curve of equilibria: Its extreme multi-stability and Kolmogorov–Sinai entropy computation
Coexisting infinitely many attractors in a new chaotic system with a curve of equilibria: Its extreme multi-stability and Kolmogorov–Sinai entropy computation Open
A new five-dimensional chaotic system with extreme multi-stability is introduced in this article. The mathematical model is established, and numerical simulations are done. This dynamical system complicates incident of extreme multi-stabil…