بدائل البحث:
codingnb algorithm » cosine algorithm (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
neural codingnb » neural coding (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
elements cnn » elements crcy (توسيع البحث), elements ices (توسيع البحث), elements upon (توسيع البحث)
codingnb algorithm » cosine algorithm (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
neural codingnb » neural coding (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
elements cnn » elements crcy (توسيع البحث), elements ices (توسيع البحث), elements upon (توسيع البحث)
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Decision-making algorithm for implementing a clinical pharmacy service in oncology....
منشور في 2025"…<b>Objective: </b>To describe the architecture of a decision-making algorithm for implementing a clinical pharmacy service in oncology. …"
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Descriptive statistics of algorithms.
منشور في 2024"…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …"
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Q-value of comparison of algorithms with WOA.
منشور في 2024"…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …"
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p-values of comparison of algorithms with WOA.
منشور في 2024"…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …"
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The architecture of the SE-multi-input CNN model.
منشور في 2025"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"
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Confusion matrix for the Multi-input CNN model.
منشور في 2025"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"
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Confusion matrices for single-input CNN models.
منشور في 2025"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"
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Confusion matrix for the Multi-input CNN model.
منشور في 2025"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"
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MEA-BP neural network algorithm flowchart.
منشور في 2025"…A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. …"
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