بدائل البحث:
implementing finding » implementing bundled (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
agent » agents (توسيع البحث)
implementing finding » implementing bundled (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
agent » agents (توسيع البحث)
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
منشور في 2016"…In addition, implementing feasible computational methods for such enormous data is by itself another challenge. …"
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masterThesis -
4
Agent-Based Reactive Geographic Routing Protocol for Internet of Vehicles
منشور في 2023"…In this paper, we first propose a novel lightweight location service that permits to discover all the geographical paths between two vehicles based on smart mobile agents. Second, we proposed ARGENT an Agent-Based Reactive Geographic Routing Protocol that couples the routing process with the novel lightweight location service. …"
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article -
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Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
منشور في 2017احصل على النص الكامل
doctoralThesis -
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ARDENT: A Proactive Agent-Based Routing Protocol for Internet of Vehicles
منشور في 2023"…Then, we present an Agent-Based Proactive Geographic Routing Protocol called ARDENT to route data packets with reduced delay and higher delivery ratio. …"
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article -
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Distributed optimal coverage control in multi-agent systems: Known and unknown environments
منشور في 2024"…<p>This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. …"
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Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
منشور في 2013احصل على النص الكامل
doctoralThesis -
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Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
منشور في 2023"…This paper presents a reinforcement learning agent-based model that works by incorporating the MESA environment with the Stone Soup radar systems simulator. …"
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An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
منشور في 2020احصل على النص الكامل
doctoralThesis -
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Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
منشور في 2019"…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …"
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
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Single channel speech denoising by DDPG reinforcement learning agent
منشور في 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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A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
منشور في 2023"…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …"
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Information reconciliation through agent controlled graph model. (c2018)
منشور في 2018"…Our approach provides a damage assessment and recovery algorithm that is based on agents and graphs.…"
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masterThesis -
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Localizing-ground Transmitters Using Airborne Antenna Array
منشور في 2020احصل على النص الكامل
doctoralThesis -
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The Role of KM in Enhancing AI Algorithms and Systems
منشور في 2020"…The review looks into 16 studies collected from a different database from 2014 to 2019. The main finding of the research was the massive impact of some KM processes like knowledge acquisition and knowledge creation on the different types of AI systems and algorithms to give an additional option for organizations during the implementation. …"
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