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761
Solving the Privacy-Equity Trade-off in Data Sharing By Using Homophily, Diversity, and <italic>t</italic>-Closeness Based Anonymity Algorithm
Published 2024-01-01“…In the modern era, personal data published by data owners play a vital role in decision-making, resource allocation, disease mitigation, and/or epidemiological analysis. …”
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762
Harnessing Data-mining Algorithms to Model and Evaluate Factors Influencing Distortion Product Otoacoustic Emission Variations in a Mining Industry
Published 2024-12-01“…Conclusions: As a result of determining the weight of factors causing variations in OAEs, the allocation of resources for control measures and effective reduction will be accomplished more efficiently and accurately.…”
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763
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764
Optimization strategies for public health education based on ISSA and information system technology
Published 2025-05-01“…IntroductionAgainst the backdrop of rapid development of information technology, public health education is facing challenges such as uneven resource allocation and lagging content.MethodsTo propose an optimization strategy that can effectively improve the level of public health education, this study improves the sparrow search algorithm by introducing the theory of best point sets to optimize the allocation of public health education resources. …”
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765
Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning
Published 2025-01-01“…Opportunistic computing offloading is effective to enhance computing performance in dynamic edge network environments; however, careless offloading of tasks to ESs can lead to WDs preempting network computing resources with limited bandwidth, thereby resulting in inefficient allocation of computing resources. …”
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766
Scalability and Cost Optimization in Load-Balanced Microservice Scheduling System
Published 2025-05-01“…Additionally, a specialized algorithm is introduced to evaluate the cost, execution time, and availability aspects of microservice applications, enabling optimized resource allocation in a distributed manner. …”
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767
GAPO: A Graph Attention-Based Reinforcement Learning Algorithm for Congestion-Aware Task Offloading in Multi-Hop Vehicular Edge Computing
Published 2025-08-01“…Building on this foundation, an attention-based Actor–Critic framework makes joint offloading decisions by intelligently selecting the optimal destination and collaboratively determining the ratios for offloading and resource allocation. A multi-objective reward function, designed to minimize task latency and to alleviate link congestion, guides the entire learning process. …”
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768
The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic: evidence from Wuhan-area hospitals
Published 2024-12-01“…This study offers valuable guidance to hospital administrators for planning resource allocation strategies that can effectively meet the demand. …”
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769
Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm
Published 2025-12-01“…Additionally, multi-objective optimization solutions are proposed using a Multi-Objective Genetic Algorithm (MOP-GA), which suggest that a comprehensive development strategy that balances urban-rural resource allocation achieves the highest level of integration. …”
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770
Planning approach of survivable fiber-wireless broadband access network
Published 2016-05-01Get full text
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771
Distributed trusted demand response bidding mechanism empowered by blockchain
Published 2024-09-01“…In addition, a virtual resource management algorithm to support demand response tasks is also proposed to optimize computing resource allocation and meet business latency requirements. …”
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772
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773
Deep learning-based time series prediction for precision field crop protection
Published 2025-06-01“…By combining convolutional layers for spatial feature extraction, recurrent neural networks for temporal modeling, and attention mechanisms for data fusion, SADF-Net captures intricate spatial-temporal dependencies while ensuring robustness to noisy and incomplete data. We introduce the Resource-Aware Adaptive Decision Algorithm (RAADA), which leverages reinforcement learning to translate SADF-Net’s predictions into optimized strategies for resource allocation, such as irrigation scheduling and pest control. …”
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774
Fairness-Aware Utility Maximization for Multi-UAV-Aided Terrestrial Networks
Published 2024-01-01“…In the second stage, we utilize the solution obtained in the first part and develop an interference-aware iterative scheme to jointly optimize user scheduling, resource allocation, and ABS placement. Given the non-convex nature of this problem, we employ the successive convex approximation technique to approximate the non-convex objectives and constraints. …”
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775
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776
Enhancing Infotainment Services in Integrated Aerial–Ground Mobility Networks
Published 2025-06-01Get full text
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777
Optimizing Pharmaceutical Inventory and Investment Strategies During Pandemics: A Dynamic Approach Integrating Environmental Emission Rates and Advanced Optimization Algorithms
Published 2025-01-01“…Optimal control theory is applied for dynamic investment adjustments, enhancing resource allocations and decision-making. The study addresses a complex replenishment problem involving joint pricing, environmental costs, order costs, preservation technology, and replenishment schedules for non-instantaneous deteriorating items, aiming to maximize retailer's profit. …”
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778
Methods for Cognitive Diagnosis of Students’ Abilities Based on Keystroke Features
Published 2025-04-01“…This provides strong support for the formulation of teaching strategies and the allocation of resources, and the method possesses important application value and practical significance.…”
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779
The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperatur...
Published 2025-02-01“…Consensus decisions between multiple leader decision points were made through a weight allocation algorithm, achieving a dynamic balance between temperature control and temperature field optimization. …”
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780
Secondary Frequency Control of Islanded Microgrid Based on Deep Reinforcement Learning
Published 2025-05-01“…The frequency deviation is used as the state input variable, and the design of the state space, action space, reward function, neural network, and hyperparameters in the deep Q-Networks algorithm is carried out. The reward function balances the goals of frequency recovery and power allocation among distributed energy resources , ensuring consistency in action selection among the intelligent agents. …”
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