Search Results - (( java implication based algorithm ) OR ( gate optimization method algorithm ))
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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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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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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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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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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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Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array
Published 2019“…There are many researches have been done to optimize PI controller based evolutionary algorithm, such as Genetic Algorithm (GA). …”
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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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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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Design of DNA sequence alignment accelerated system using 2-dimensional array and custom instruction on FPGA / Nur Dalilah Ahmad Sabri
Published 2018“…Thus, this research concentrates on the optimization techniques based on Custom Instruction (CI) and Rectangular Dimensional array (2D) that proposed on Smith-Waterman (SW) algorithm. …”
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Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image
Published 2024“…The algorithm development can be categorized into local, global, and semi-global methods. …”
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A Review of Weight Optimization Techniques in Recurrent Neural Networks
Published 2020“…The vanishing gradient exists during the training process of SRNN due to the multiplication of the gradient with small value when using the most traditional optimization algorithm the Gradient Decent (GD). Therefore, researches intend to overcome such limitations by utilizing weight optimized techniques such as metaheuristic algorithms. …”
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