Showing 161 - 180 results of 5,488 for search 'Decision three algorithm', query time: 0.21s Refine Results
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    Designing a Decision Support System (DSS) for Supplier Selection in Multiple Discount Environment by Marzieh Shahrezaee, Reza Ehtesham Rasi, Mehdi Seifbarghy

    Published 2012-09-01
    “…Outputs, which are, the selective suppliers and orders assigned to each of them are also to be considered by using Genetic Algorithm in MATLAB software for three parts in Emersan Company accordingly.…”
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  3. 163

    Creating private criteria for A-CDM effectiveness to take into account the interests of decision-making participants in a dynamic environment by G. N. Lebedev, V. B. Malygin

    Published 2020-12-01
    “…Optimization of collaborative decision-making can be achieved either by a simple search for solutions, or by using a genetic algorithm that allows you to get a suboptimal solution that meets the requirements of the participants in the process using a smaller number of iterations in real time. …”
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    A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

    Published 2025-08-01
    “…To address this challenge, we propose a novel fast coding algorithm optimized for video surveillance applications. …”
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    The A3C Algorithm With Eligibility Traces of Energy Management for Plug-In Hybrid Electric Vehicles by Dingyi Guo, Guangyin Lei, Huichao Zhao, Fang Yang, Qiang Zhang

    Published 2025-01-01
    “…The proposed Asynchronous Advantage Actor-Critic Eligibility Traces (A3CET) algorithm incorporates these modifications and shows a significant improvement in fuel efficiency. …”
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    Optimized TD3 algorithm for robust autonomous navigation in crowded and dynamic human-interaction environments by Husam A. Neamah, Oscar Agustin Mayorga Mayorga

    Published 2024-12-01
    “…In this paper an optimized algorithm based on TD3 (Twin Deep Deterministic Policy gradient) used in Deep Reinforcement Learning is proposed, which allows the robot to take its own actions based on the observations it makes, without defining any trajectory beforehand. …”
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    Benefits and harms associated with the use of AI-related algorithmic decision-making systems by healthcare professionals: a systematic reviewResearch in context by Christoph Wilhelm, Anke Steckelberg, Felix G. Rebitschek

    Published 2025-01-01
    “…To address this gap, this systematic review assesses the benefits and harms associated with AI-related algorithmic decision-making (ADM) systems used by healthcare professionals, compared to standard care. …”
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    SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision by Yang Liu, Tianxing Yang, Liwei Tian, Jianbiao Pei

    Published 2025-01-01
    “…To address these issues, this paper proposes a novel integrated deep reinforcement learning model called “SGD-TripleQNet” for autonomous vehicle lane-change decision-making. This method integrates three types of deep Q-learning networks (DQN, DDQN, and Dueling DDQN) and uses the Stochastic Gradient Descent (SGD) optimization algorithm to dynamically adjust the network weights. …”
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