A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems حسب Abido, M.A.

"…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper to improve power system dynamic stability. …"
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Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

"…<p dir="ltr">Speech denoising (SD) covers the algorithms that suppress the background noise from the contaminated speech and improve its clarity. …"

Optimal design of power-system stabilizers using particle swarm optimization حسب Abido, M.A.

"…In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power-system stabilizers (PSSs) is proposed. …"
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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization حسب Hafez, Ishaq

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A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network حسب Fareed Ahmad (134672)

Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller حسب Abualigah, Laith

"…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …"
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Analysis of power system stability enhancement via excitation and FACTS-based stabilizers حسب Abido, M. A.

"…An eigenvalue-based objective function to increase the system damping and improve the system response is developed. …"
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Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation حسب Hariprasath Manoharan (14157966)

"…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …"

Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer حسب Idlan, Ayman Hashim

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Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements حسب Emara-Shabaik, Husam

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Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks حسب Zahidi, Sarah Hussain

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Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing حسب Mohammadreza Gholami (17032317)

"…The integration of battery energy storage systems (BESSs) with renewable energies has been proposed as a solution to enhance reliability. …"

Face Recognition in Uncontrolled Indoor Environment حسب Abuqaaud, Kamal Adel

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Power system stability enhancement via coordinated design of a PSS and an SVC-based controller حسب Abido, M.A.

"…The coordinated design problem of robust excitation and SVC-based controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with an eigenvalue-based objective function. …"
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Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks حسب Mohamed Amjath (17542512)

"…<p>Material handling systems (MHS) are integral to logistics functions by providing various supports such as handling, moving, and storing materials in manufacturing and service organisations. …"

Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils حسب Alireza Namadmalan (16864236)

"…Based on the proposed algorithm, several IPT systems are optimized in MATLAB software using Genetic Algorithm (GA). …"

Boosting the visibility of services in microservice architecture حسب Ahmet Vedat Tokmak (17773479)

"…Our research also analyzed the boosting algorithms, namely Gradient Boost, XGBoost, LightGBM, and CatBoost to improve the overall performance. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik Rafikiran (15838929)

"…The main contribution of this study is the introduction and comparative performance analysis of different hybrid MPPT controllers for selecting the optimum duty cycle for the fuel cell-fed boost converter system. The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik, Rafikiran

"…The main contribution of this study is the introduction and comparative performance analysis of different hybrid MPPT controllers for selecting the optimum duty cycle for the fuel cell-fed boost converter system. The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
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