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881
Energy Efficient Design for Two-Way AF Relay Networks
Published 2014-01-01“…We propose an optimal energy-efficient power allocation algorithm based on iterative search technique. …”
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882
Energy Harvesting for Throughput Enhancement of Cooperative Wireless Sensor Networks
Published 2016-07-01“…We then propose an iterative power allocation algorithm which converges to a locally optimal solution at a Karush-Kuhn-Tucker point. …”
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883
Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network
Published 2022-01-01“…It can provide help for power grid dispatching and decision-making, optimize resource allocation, reduce operation cost, and ensure system safety. …”
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884
Mixed fleet-based two-echelon vehicle routing optimization for cold chain logistics with diverse recharging strategies.
Published 2025-01-01“…The presented model optimizes economic and environmental considerations to mitigate air pollution and reduce dependence on non-renewable energy sources while providing feasible routes. This study proposes an allocation algorithm and an enhanced ant colony algorithm to address a single-objective two-echelon vehicle routing problem with the mixed fleet (2EVRPMF). …”
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885
Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation
Published 2024-12-01“…The optimal cost for FLB-PSO is $2423.86, representing a cost reduction of $237.23 compared to the $2661.08 of PSO. The FLB-PSO algorithm proficiently manages energy sources while addressing complexities associated with battery storage degradation. …”
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886
Challenges and inequalities in the management of financing the tasks of local government units: a critical analysis
Published 2024-09-01“…Do the currently used algorithms for the distribution of subsidies reflect the real needs of local government units, and, as a result, there is an optimal allocation of public funds? …”
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887
Electricity pinch analysis method for flexibility supply-demand matching in power systems
Published 2025-10-01“…Traditional operation simulation-based planning approaches often fail to provide effective flexibility matching mechanisms, resulting in either insufficient resource allocation or over-provisioning, while struggling to reconcile reliability requirements with computational complexity. …”
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888
Robust Planning for Hydrogen-Based Multienergy System Considering P2HH and Seasonal Hydrogen Storage
Published 2024-01-01“…Meanwhile, we also consider the N-1 contingency constraints to make the technology selection, capacity allocation, and economic operation more reliable. The complex constraints resulting from producing two independent binary variables are converted into mixed integer linear constraints, which can be solved effectively using the nested column-and-constraint generation algorithm. …”
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889
Using LDA for audit risk assessment of the Indonesian BOS fund: Insights from news analysis
Published 2024-12-01“…We use the latent Dirichlet allocation (LDA) algorithm to reveal hidden topics representing risks in the management of the Indonesian School Operational Assistance Fund (BOS Fund). …”
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890
Evaluating regional sustainable energy potential through hierarchical clustering and machine learning
Published 2025-01-01“…The increase in global energy demand, combined with the adverse environmental impacts of fossil fuels, has highlighted the urgency of transitioning to sustainable energy sources. In large and heterogeneous countries like Türkiye, region-specific analyses of sustainable energy potential (SEP) are crucial for formulating effective policies and optimizing resource allocation. …”
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891
A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements
Published 2025-05-01“…Simulation results validate the significant advantages of the proposed algorithm in enhancing localization accuracy, reducing system costs, and optimizing resource allocation. …”
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892
Optimizing Medical IoT Disaster Management with Data Compression
Published 2024-02-01“…They promise improved data handling, more effective decision-making, and optimized resource allocation across a range of IoT applications. …”
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893
Artificial intelligence analysis in cyber domain: A review
Published 2022-04-01“…This method permits for the allocation of multiple log source types through a sliding time window and provides a scalable solution, which is a much-needed function.…”
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894
Distributed robust scheduling of distribution-microgrid based on deep learning method integration
Published 2025-06-01“…Considering the uncertainty of the real-time output of new energy in the microgrid, the proposed two-stage robust economic dispatching model adopts column-and-constraint generation (C&CG) and alternating direction multiplier method (ADMM) combines the column and constraint generation algorithm and joint target cascade analysis algorithm for distributed solution. …”
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895
Superimposed Training-Based Channel Estimation for MIMO Relay Networks
Published 2012-01-01“…Through the superposition of a group of additional training vectors at the relay subject to power allocation, the separated estimates of the source-relay and relay-destination channels can be obtained directly at the destination, and the accordance with the two-hop AF strategy can be guaranteed at the same time. …”
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896
Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination
Published 2025-05-01“…Conventional shared energy storage (SES) allocation and coordinated operation mechanism are mismatched with the actual time-varying demand of the distribution system, resulting in low utilization of energy storage and renewable energy sources (RES), which restricts the system operational efficiency and RES integration. …”
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897
Reinforcement Learning and Multi-Access Edge Computing for 6G-Based Underwater Wireless Networks
Published 2025-01-01“…These AUVs are strategically positioned to execute tasks either fully locally, partially, or by offloading them entirely to a more resource-equipped AUV (AUV MEC). We achieve this by jointly optimizing the task offloading strategy, resource allocation, and the trajectories of the AUVs. …”
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898
Land Use Challenges in Emerging Economic Corridors of the Global South: A Case Study of the Laos Economic Corridor
Published 2024-12-01“…The study results indicate that (1) The land use pattern in the Laos Economic Corridor has gradually shifted from a “single-core radial” structure to a “dumbbell-shaped” structure, promoting coordinated regional economic development. (2) A significant unidirectional flow of land use has been established, with forestland being converted into cultivated land and cultivated land being further converted into artificial surfaces. (3) In addition to the natural geographical constraints, the transport infrastructure and the spatial layout of industries are the main drivers for the expansion of ecological land, agricultural land, and built-up land. (4) Spatial planning interventions are essential and urgent: the establishment of land management rules based on the principles of forest conservation and intensive development can effectively control the uncontrolled expansion of artificial areas, significantly reduce the loss of forestland, and ensure the rational allocation of land resources for long-term development. …”
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899
Digital Low-Altitude Airspace Unmanned Aerial Vehicle Path Planning and Operational Capacity Assessment in Urban Risk Environments
Published 2025-04-01“…This research provides a theoretical foundation for the scientific management and optimal resource allocation of urban low-altitude airspace, facilitating the safe application and sustainable development of UAVs in urban environments.…”
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900
Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning
Published 2025-01-01“…In such simulations, diverse healthcare scenarios, ranging from continuous patient monitoring systems to crucial emergency response applications, are recreated, providing a rich framework for testing the real-time processing capabilities of the model. This algorithm, DRL, has been fine-tuned and extensively implemented in these scenarios to show how the algorithm controls and optimizes tasks and their urgency in accordance with resource demand. …”
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