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Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm
Published 2008“…The results show that the proposed method is able to produce the optimized circuit with lesser number of gates compared to the conventional methods. …”
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Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array
Published 2019“…The third methodology is to integrate the proposed controller on FPGA, using a new method to run the design based simulink model. …”
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Hybrid OCSSA-VMD and optimized deep learning networks for runoff forecasting
Published 2025“…Prior to feeding the IMFs into the network, the hyperparameters of models were optimized by using the Northern Goshawk Optimization (NGO) algorithm. …”
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Reversible circuit synthesis by genetic programming using dynamic gate libraries
Published 2017“…Meanwhile, in some cases, optimal circuits were produced due to the heuristic nature of the algorithm. …”
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Hardware-In-The-Loop Simulation Of Steer-By-Wire System In Automotive Vehicle
Published 2016“…From simulation and experimental results, SBW system developed has the ability to closely follow the steering trajectory of the conventional steering system with acceptable errors. By using HiLS, both controller algorithm and the functionality of the steering actuator of SBW system can be tested in a semi-real driving condition as preliminary testing.…”
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Design of digital circuit structure based on evolutionary algorithm method
Published 2008“…In this paper, a method for automatic optimization of the digital circuit design method has been introduced. …”
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Optimizing Ram Testing Method For Test Time Saving Using Automatic Test Equipment
Published 2017“…By taking this advantage, an optimizing memory testing method able to implement to minimize the test time without jeopardize the test coverage. …”
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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. …”
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Fast algorithm analysis and bit-serial architecture design for sub-pixel motion estimation in H.264
Published 2010“…To solve the above difficulties, we propose several optimization techniques in both algorithm and architecture levels. …”
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State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model
Published 2023“…The Transformer model with transferred weights outperformed models trained from scratch using supervised learning. To select the optimal hyperparameters for the Transformer model, the Tree Parzen Estimator(TPE) optimization in combination with the Hyperband pruning algorithm is employed to search for the best combination that yields the lowest Root Mean Squared Error(RMSE)and Mean Absolute Error (MAE) error metrics. …”
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Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…This thesis is concerned with algorithm optimization and efficient low cost architecture design for integer motion estimation (IME) and sub-pixel motion estimation (SME) of H.264/AVC. …”
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A new framework for multi-partition finite state machine low power design based on genetic algorithm
Published 2018“…Many researchers use a variety of algorithms to optimize a solution. Among these methods is the genetic algorithm (GA)-based optimization, that technique shows a high performance to reduce FSM power consumption. …”
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Design of field programmable gate array-based proportional-integral-derivative fuzzy logic controller with tunable ganin
Published 2010“…This block involves a tuning via scaling the universe of discourse and is able to accept optimal scaling gains. The particle swarm optimization method (PSO) is used to obtain the optimal values of these gains. …”
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Personalized administration of contrast medium with high delivery rate in low tube voltage coronary computed tomography angiography
Published 2019“…The algorithm was retrospectively tested in 45 patients who underwent retrospectively ECG-gated CCTA with a 100 kVp protocol. …”
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Gravitational Search Algorithm based Long Short-term Memory Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction with Uncertainty
Published 2024“…The RUL prediction uncertainty with a 95% confidence interval (CI) is also analyzed. The GSA algorithm optimizes the hyperparameters of the LSTM network to construct an optimal model. …”
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Development and optimization of Bi-GFET using Taguchi-based grey relational analysis with artificial neural network
Published 2024“…The full potential of the Taguchi method as a tool for optimizing the performance of processes with a wide range of input variables has been realized. …”
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Committee neural networks with fuzzy genetic algorithm.
Published 2011“…Finally, we use fuzzy genetic algorithm methods for combining the output of experts to predict a reservoir parameter in petroleum industry. …”
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