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action algorithm » auction algorithm (Expand Search), detection algorithm (Expand Search), colony algorithm (Expand Search)
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Animal migration optimization algorithm: novel optimizer, analysis, and applications
Published 2024“…It is based on the animal actions and habits in migration seasons. Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processing, machine learning, and others. …”
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A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems
Published 2005“…This article presents a stochastic algorithm that computes the learning gain matrix of a “D-type iterative learning control (ILC) algorithm for a class of discrete-time varying nonlinear systems with linear input/output actions having relative degree one. …”
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Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems
Published 1999“…In this paper, we apply a discrete‐time learning algorithm to a class of discrete‐time varying nonlinear systems with affine input action and linear output having relative degree one. …”
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Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation
Published 2024“…An Affinity Propagation clustering algorithm-based PGP is tailored for automatically forming highly interconnected clusters based on pairwise similarities without requiring a predefined number of partitions. …”
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A heuristics for HTTP traffic identification in measuring user dissimilarity
Published 2020“…The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. The algorithm was experimentally tested on a group of users, to ascertain the certainty of identifying user-initiated requests. …”
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Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
Published 2023“…This review aims to support research in this area of DRL algorithms to embrace PSS against unseen faults and different PS topologies.…”
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Regression testing web services-based applications
Published 2006“…Moreover, modifications handled by the algorithm are classified into three classes: (a) adding an operation, (b) deleting an operation, (c) fixing a condition or an action. …”
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Integrating Quality And Maintenance Decisions In A Production- Inventory Model For Deteriorating Items
Published 2020“…A heuristic solution algorithm is developed to determine the production and inspection schedules, and a numerical example is solved.…”
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An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models
Published 2024“…The basic methodology of this research involves integrating EPC and claim management principles with the IMBOA algorithm to create an efficient, high-quality system. …”
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Control of cardiac alternans by mechanical and electrical feedback
Published 2014“…A persistent alternation in the cardiac action potential duration has been linked to the onset of ventricular arrhythmia, which may lead to sudden cardiac death. …”
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Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
Published 2024“…The proposed algorithm is evaluated on the 68-bus system and the Northeastern United States 25k-bus synthetic test system with credible contingencies using the PowerWorld simulator. …”
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Leveraging UAVs for Coverage in Cell-Free Vehicular Networks
Published 2020“…Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …”
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Single channel speech denoising by DDPG reinforcement learning agent
Published 2025“…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …”
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Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques
Published 2022“…The current prediction algorithms focus on forecasting the illness label though the likelihood of getting the condition is still unknown. …”
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