Search Results - (( simulation optimization _ algorithm ) OR ( pattern detection utilizing algorithm ))
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1
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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2
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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3
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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4
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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5
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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6
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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7
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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8
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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9
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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Configuration and analysis of piezoelectric-based in socket sensory system for transfemoral prosthetic Gait detection / Farahiyah Jasni
Published 2018“…The finalized configuration that resulted in the best response was adopted and used to collect data for training and classifying the gait phase using pattern recognition method. The performance of the proposed sensory system was evaluated by checking the accuracy of the pattern recognition algorithm in detecting the gait phases at different speeds of normal walking. …”
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12
Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column
Published 2003“…Through the proposed algorithm, various faults could be simulated and detected using the system. …”
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Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…Thus, this study proposes an enhanced binary grey wolf optimiser (EBGWO) algorithm for FS in anomaly detection to overcome the algorithm issues. …”
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14
Circular discontinuities detection in welded joints using Circular Hough Transform
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Concrete surface inspection by using unmanned aerial vehicle (UAV) and deep learning algorithms YOLOv7 / Saffa Nasuha Rusdinadi
Published 2024“…This research aims to improve the detection and analysis of cracks on concrete surfaces by utilizing UAVs and yolo algorithms. …”
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Student Project -
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
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Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
Published 2016“…In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. …”
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Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…In this case, the effectiveness and reliability of RMS is increase by combining the simulation with the optimization algorithm.…”
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EEG-based fatigue detection using binary pattern analysis and KNN algorithm
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Proceeding Paper -
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Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu
Published 2018“…This dissertation has focused on Lyapunov model predictive control (L-MPC) methods, in which Lyapunov control law is employed in the cost function to minimize the error between the desired control variables and the actual control variables of a three-phase four-leg inverter to optimize closed-loop system performance. The proposed control algorithm takes advantage of a predefined Lyapunov control law which minimizes the required calculation time by the Lyapunov model equations just once in each control loop to predict future variables. …”
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