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Resource allocation for coexistence of eMBB and bursty URLLC based on queueing with preemption
Published 2025-05-01“…Numerical results show that our proposed method reduces the outage probability and average delay of URLLC compared to the existing works.…”
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AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment
Published 2025-05-01“…Firstly, the model of the radar network tracking is established, and the power allocation problem is formulated. Next, the target RCS prediction algorithm is introduced, and the AIMP power allocation method is proposed jointly considering the electronic jamming and the impact of the target RCS. …”
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Outcomes for Patients With a Deceased Donor Kidney Offer in the New Allocation System
Published 2025-04-01“…Methods: We describe transplant and mortality rates for waitlisted candidates from 2015 to 2022 following these allocation changes. …”
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Optimization of resource allocations in 5G mobile network using Active Reward Learning
Published 2025-08-01“…This paper introduces a real-time dynamic resource allocation method for 5G mobile network slicing, leveraging active reward learning to enhance network performance and Quality of Experience (QoE). …”
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Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach
Published 2023-01-01“…Results obtained for the NSFNet and COST239 network topologies under different traffic loads show that the best-performing agent achieves, on average, up to a four-times decrease in blocking probability with respect to the best-performing baseline heuristic method.…”
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Prognostic model of the probability of successful extubation in the operating room after simultaneous kidney and pancreas transplantation
Published 2025-06-01“…To develop and substantiate a prognostic model for determining the probability of successful extubation in the operating room after SKPT depending on the impact of recipient-dependent factors and intraoperative clinical factors.Material and methods. …”
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Dynamic Security-Aware Resource Allocation in Quantum Key Distribution-Enabled Optical Networks
Published 2025-06-01“…We evaluate the proposed D-SQRA performance against two conventional methods, namely, fixed security quantum resource allocation (F-SQRA) and baseline quantum resource allocation (B-QRA). …”
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Prediction and Optimization for Multi-Product Marketing Resource Allocation in Cross-Border E-Commerce
Published 2025-06-01“…Current methods either overlook these constraints or fail to enforce them efficiently due to computational challenges. …”
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50
Efficient Humanitarian Logistics: Multi-Commodity Location–Inventory Model Incorporating Demand Probability and Consumption Coefficients
Published 2024-01-01“…This study aims to investigate the inventory location in the humanitarian logistics response stage using a three-level logistics network to integrate location–allocation problems such as warehouse location and shelter allocation to each facility, and then determine the inventory level in each warehouse. …”
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Performance analysis of cloud resource allocation scheme with virtual machine inter-group asynchronous failure
Published 2024-09-01“…This method improves requests’ throughput and reduces wait time of requests. …”
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Predicting Work Zone Collision Probabilities via Clustering: Application in Optimal Deployment of Highway Response Teams
Published 2018-01-01“…The proposed method is applied to over 54,000 short-term work zones in the state of Maryland and demonstrates an ability to predict work zone collision probabilities. …”
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Preamble Allocation and Access Delay Reduction for Improved Massive Random Access in 5G Beamforming Networks
Published 2025-01-01“…Simulation results demonstrate that the proposed method outperforms the existing methods in terms of preamble efficiency, access delay, and access success probability.…”
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Multi-values discrete particle swarm optimization for cross layer resource allocation in cooperative OFDMA systems
Published 2014-04-01“…Furthermore, iterative waterfilling was used to complete power allocation. Simulation re-sults show that the proposed method achieves higher sum utility of all MSs and higher degree of user fairness than the existing methods.…”
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Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques
Published 2013-01-01“…In the approach to solving this problem, the “gradient method” and “game theory” are adopted to find the optimal resource allocation strategies for both the cyber attacker and mobile network defender.…”
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Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current
Published 2023-01-01“…In order to show the effectiveness of the proposed methodology, obtained optimization results are tested using MCS under set of uncertainty conditions and network constraints are evaluated for limit violation probabilities. The effectiveness of this method is investigated based on comparative results of two different optimization methods through probabilistic analysis and simulation.…”
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AI-Driven Aerial Relay Placement and Power Allocation for Enhanced Secrecy in Untrusted UAV-Enabled Networks
Published 2025-01-01“…The primary goal is to enhance secrecy performance by optimizing both the three-dimensional (3-D) positioning of the UAV relay and the power allocation strategy. Conventional optimization methods often fail to effectively capture the intricate, dynamic nature of such networks, thereby limiting their ability to ensure adaptive secrecy optimization. …”
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A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities
Published 2025-01-01“…The study includes two key components: seismic risk assessment and financial resource allocation. Seismic risk was modeled using computational methods and risk analysis techniques. …”
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Optimized memory allocation in edge-PLCs using Deep Q-Networks and bidirectional LSTM with Quantum Genetic Algorithm
Published 2024-12-01“…In addressing the dynamic challenges of memory management, our method combines the reinforcement learning capabilities of DQN with the temporal contextualization provided by BiLSTM networks. …”
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