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Fuad E. Alsaadi

Researcher at King Abdulaziz University

Publications -  433
Citations -  18196

Fuad E. Alsaadi is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Artificial neural network & Estimator. The author has an hindex of 61, co-authored 404 publications receiving 13282 citations. Previous affiliations of Fuad E. Alsaadi include Jiangnan University & Quaid-i-Azam University.

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A survey of deep neural network architectures and their applications

TL;DR: This work was supported in part by the Royal Society of the UK, the National Natural Science Foundation of China, and the Alexander von Humboldt Foundation of Germany.
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Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method

TL;DR: A valid adaptive neural state-feedback controller design algorithm is presented such that all the signals of the switched closed-loop system are in probability semiglobally uniformly ultimately bounded, and the tracking error eventually converges to a small neighborhood of the origin in probability.
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Bipolar Fuzzy Hamacher Aggregation Operators in Multiple Attribute Decision Making

TL;DR: A practical example for enterprise resource planning system selection is given to verify the developed approach to solve the bipolar fuzzy multiple attribute decision-making problems and demonstrate its practicality and effectiveness.
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Projection models for multiple attribute decision making with picture fuzzy information

TL;DR: This paper investigates the picture fuzzy multiple attribute decision making problems where the attribute values are expressed in picture fuzzy numbers and develops projection models that can rank the given alternatives and then select the most desirable one.
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Event-based security control for discrete-time stochastic systems

TL;DR: This study is concerned with the event-based security control problem for a class of discrete-time stochastic systems with multiplicative noises subject to both randomly occurring denial-of-service attacks and randomly occurring deception attacks.