A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation by Xinyu Yin, Xiaoyan Bian, Qinran Zhu, Jinbin Zhao, Shunfu Lin, Kwok L. Lo

“…Traditional methods for flexible capacity allocation do not take into account the actual operation status of resources, and this can lead to redundancy of allocation results in a high renewable penetration power system. …”
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Power Allocation Technology of Long Time Multi-Star Hopping Beam for LEO Satellite by Ziyi LIU, Xiaoning ZHANG, Zesong FEI

“…LEO satellites have superior development prospects due to their low cost, low latency and small path loss, and are widely used in IoT, B5G and other fields.For the LEO satellite and its coverage area will be in a moving state, a convex optimization-based long-time multi-star beam hopping power allocation algorithm was proposed to maximize the system capacity.Focused on the multi-star hopping beam scenario over a period of time, a system model was developed based on the long-time co-orbital multi-star hopping beam scenario and the long-time heterodyne multi-star hopping beam scenario respectively.The resource allocation algorithm was designed for the two long-time multi-star hopping beams with the weighted objective function as the optimization objective, considered the influence factors of inter-star interference, load balancing and inter-star resource allocation priority, a long-time skipping beam resource allocation algorithm based on convex optimization was proposed.The simulation results showed that the proposed scheme could improve the resource utilization of the system compared with the conventional schemes.…”
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A Novel Method for Dynamic Distribution Network Reconfiguration Utilizing Capacitor and DG Allocation by Sana Sadeghi, Alireza Jahangiri, Ahmad Ghaderi Shamim

“…By reconfiguring and allocating capacitors and distributed generation resources during these periods, the voltage profile is improved and losses are reduced. …”
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From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness by Andreea Cristina Ionica, Stanislav Cseminschi, Monica Leba

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Optimal Parking Slots Reservation and Allocation Problem for Periodic Parking Platforms with Preference Constraints by Xianmin Song, Tianshu Zhan, Haitao Li, Bo Liu, Yunxiang Zhang, Xin Liu

“…However, the parking slots may be allocated unreasonably, which may lead to a waste of space and time resources. …”
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Deep learning-based time series prediction for precision field crop protection by Tao He, Meijin Li, Dong Jin

“…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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Cooperative game based bandwidth allocation mechanism live migration of multiple virtual machines by Yong CUI, Yu-song LIN, Run-zhi LI, Zong-min WANG

“…In IaaS cloud computing platform, live migration of virtual machines plays a significant role in resource dy-namic dispatching and management. Under many scenarios, multiple virtual machines in the same server need to be moved online concurrently.Since live migration algorithm utilizes bandwidth as more as possible to send data, there is a bandwidth competition among the concurrent migration processes, which cannot guarantee the optimal allocation for the bandwidth and finally degrades the overall performance of the parallel live migration. …”
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Location-Allocation of a Biorefinery Based on Linguistic Mixed Integer Nonlinear Mathematical Modeling by Lei Fan, Negar Karimi, Mohammad Reza Feylizadeh, Mohsen Khorshidnia, Yongzheng Li

“…Significant research is currently being conducted to explore renewable energy sources, such as biomass fuel, in response to recent fluctuations in fossil fuel prices and environmental concerns. …”
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Collaborative Optimization of Shore Power and Berth Allocation Based on Economic, Environmental, and Operational Efficiency by Zhiqiang Zhang, Yuhua Zhu, Jian Zhu, Daozheng Huang, Chuanzhong Yin, Jinyang Li

“…The results demonstrate that the optimized shore power distribution and berth scheduling strategy can significantly reduce ship emissions and port operating costs while enhancing overall port resource utilization efficiency. Additionally, an economically feasible shore power allocation scheme, based on 80% of berth capacity, is proposed. …”
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Intelligent Counterforce Allocation Method Using Multi-Agent Reinforcement Learning for Ground Operations by Kiwoong Park, Sangheun Shim

“…These results highlight the potential of MARL to enhance intelligent, large-scale force allocation under constrained human resources.…”
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Optimal sizing and allocation of PV-DG and DSTATCOM in the distribution network with uncertainty in consumption and generation by Ahad Ebrahimi, Majid Moradlou, Mehdi Bigdeli, Mostafa Rajabi Mashhadi

“…Abstract The use of distributed generation resources and Flexible AC transmission (FACT) devices to improve technical constraints and reduce dependence on the upstream network eliminates the need to build new power plants. …”
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Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks by Mattia Fabiani, Asmaa Abdallah, Abdulkadir Celik, Omer Haliloglu, Ahmed M. Eltawil

“…Furthermore, an LSF-based radio unit (RU) selection algorithm is employed to activate only the contributing RUs, allowing efficient utilization of network resources. …”
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Scheduling Algorithm: Tasks Scheduling Algorithm for Multiple Processors with Dynamic Reassignment by Pradeep Kumar Yadav, M. P. Singh, Harendra Kumar

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Predicting hospital outpatient volume using XGBoost: a machine learning approach by Lingling Zhou, Qin Zhu, Qian Chen, Ping Wang, Hao Huang

“…Abstract Hospital outpatient volume is influenced by a variety of factors, including environmental conditions and healthcare resource availability. Accurate prediction of outpatient demand can significantly enhance operational efficiency and optimize the allocation of medical resources. …”
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A method to manage the energy consumption of cloud centers for predictability in neuro-fuzzy networks by Ying Zhang

“…The proposed model leverages neuro-fuzzy networks for accurate workload predictions to achieve efficient real-time resource allocation and VM migration strategies that minimize energy waste. …”
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A Two-Stage Optimization Model for Airport Stand Allocation and Ground Support Vehicle Scheduling by Mengyun Yao, Minghua Hu, Jianan Yin, Jiaming Su, Mengxuan Yin

“…To address the issues of inefficient resource allocation and severe ground congestion at hub airports during aircraft turnaround operations, a two-stage optimization model is constructed to coordinate the scheduling of stands and ground support vehicles. …”
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Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Within Port Clusters by Wenmin Wang, Cuijie Diao, Wenqing He, Zhihong Jin, Zaili Yang

“…Moreover, intense competition among ports has made both container ship slots and port equipment resource allocation inefficient. To address these challenges, this paper aims to solve the collaborative optimization problem of slot allocation and empty container repositioning within port clusters concerning inventory control. …”
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A task allocation strategy for complex applications in heterogeneous cluster–based wireless sensor networks by Xiang Yin, Kaiquan Zhang, Bin Li, Arun Kumar Sangaiah, Jin Wang

“…To alleviate this limitation, in this article, we investigate the issue of complex application allocation, where various distinctive types of resources are demanded. …”
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Analysis and Simulation of the Dynamic Spectrum Allocation Based on Parallel Immune Optimization in Cognitive Wireless Networks by Wu Huixin, Mo Duo, Li He

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Joint Allocation of Shared Yard Space and Internal Trucks in Sea–Rail Intermodal Container Terminals by Xiaohan Wang, Zhihong Jin, Jia Luo

“…To address limited storage capacity and trans-shipment inefficiencies, this study innovatively proposes a resource-sharing strategy between the seaport and the railway container terminal, focusing on the joint allocation of yard space and internal trucks. …”
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