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

“…In this investigation, a Linguistics Mixed Integer Nonlinear Programming (LMINLP) approach with Z-number computations was employed to analyze the optimal allocation of locations for a bio-refinery supply chain network. …”
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Cross-Layer Stream Allocation of mMIMO-OFDM Hybrid Beamforming Video Communications by You-Ting Chen, Shu-Ming Tseng, Yung-Fang Chen, Chao Fang

“…This paper proposes a source encoding rate control and cross-layer data stream allocation scheme for uplink millimeter-wave (mmWave) multi-user massive MIMO (MU-mMIMO) orthogonal frequency division multiplexing (OFDM) hybrid beamforming video communication systems. …”
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Primary-user behavior based joint routing and channel allocation algorithm in cognitive radio networks by Jing LIU, Pin-yi REN, Shao-li XUE, Chao ZHANG

“…To resolve the unstable routing problem due to the variation of spectrum availability caused by primary users’ behaviors in cognitive radio networks (CRN),a primary-user behavior based joint routing and channel allocation (PUB-JRCA) algorithm was proposed.The PUC-JRCA algorithm characterized the primary-user behavior by using the call-based model.According to the route discovery mechanism in the dynamic source routing protocol,the destination node selected the route which received the least impact from primary-user behaviors after receiving a number of route requests.Then,the destination sent back the route reply packet (RREP) along the selected route,and the channel allocation was performed when the RREP passed each node on this route.Theoretic analyses prove that the expected available transmission time for the packet delivery is inversely proportional to the probability that PU is active.Moreover,the computational complexity of the proposed algorithm is proportional to the number of nodes in the CRN.Simulation results show that the proposed algorithm has higher packet delivery ratio and lower average packet delay than the Gymkhana routing scheme.…”
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A heuristic mixed real-time task allocation of virtual utilization in multi-core processor by Hongbiao Liu, Mengfei Yang, Tingyu Wang, Chenghao Song, Shenghui Zhu, Xi Chen

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A wavelet CNN with appropriate feed-allocation and PSO optimized activations for diabetic retinopathy grading by Chandrasekaran Raja, Santhosh Krishna B V, Balaji Loganathan, Sanjay Kumar Suman, L. Bhagyalakshmi, Mubarak Alrashoud, Jayant Giri, T. Sathish

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Linear programming for the analysis and virtual recreation of historical events: the allocation of the artillery during the Siege of Bilbao in 1874 by Alvaro Rodriguez-Miranda, Patricia Ferreira-Lopes, Gorka Martín-Etxebarria, Jaione Korro Bañuelos

“…Likewise, this technique can also be applied to past scenarios to simulate dynamics and cross-check sources. In this text, two models regarding the distribution and the allocation of supplies during the siege of Bilbao, in the framework of the Third Carlist War (1872-1876), from both parties —beleaguerer and besieged— were established based on the war front textual reports. …”
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Cross Layer Power Allocation by Graph Neural Networks in Heterogeneous D2D Video Communications by Shu-Ming Tseng, Sz-Tze Wen, Chao Fang, Mehdi Norouzi

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Analysis of deep learning-based technological innovation governance on the intelligent allocation of innovation resources in the high-technology industry by Xiaoxuan Yu, Zhen Chen, Xinyu Zhang

“…A dataset is built based on multi-source data, and experiments are performed on a high-performance computing cluster. …”
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A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

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Low-complexity timer-based multi-relay selection and sequential power allocation of cooperative cognitive radio networks for future Internet of things by Md Arifur Rahman, Youngdoo Lee, Insoo Koo

“…A suboptimal solution for power allocation may reduce the computational complexity but still involves high implementation complexity. …”
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Improving YOLOv11 for marine water quality monitoring and pollution source identification by Fang Wang

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A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects by Kayvan Mohammadi Atashgah, Rouzbeh Ghousi, Armin Monir Abbasi, Abbasali Tayefi Nasrabadi

“…This study proposes a SAHP based on group decision making (GSAHP) to prioritise the sources of uncertainty in bridge construction projects. …”
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Diffusion limitation: a possible source for the occurrence of doughnut patterns on DNA microarrays by Kris Pappaert, Heidi Ottevaere, Hugo Thienpont, Paul Van Hummelen, Gert Desmet

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Large Language Model-Guided SARSA Algorithm for Dynamic Task Scheduling in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…Nowadays, more enterprises are rapidly transitioning to cloud computing as it has become an ideal platform to perform the development and deployment of software systems. …”
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C-Coil: A High Performance Computing Approach for Magnetostatic Circular Coil Calculations by Davor Dobrota, Lara Vrabac, Nikola Socec, Filip Vucic, Dario Bojanjac

“…Furthermore, to tackle the complexity of allocating the computational resources to each of the five integration directions, we propose a heuristic that leads to 2 orders of magnitude lower computation time or 2 to 4 orders of magnitude higher accuracy. …”
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Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants by Shixun Qi, Duo Li, Liyong Hou, Haili Wang, Li Xin, Yaojie Jin, Yuanji Cai, Mingfei Ban

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A computational model for evaluating the efficiency of multi-frequency digital radio systems by Victor P. Tsvetov, Alexei V. Grafkin, Alexandr S. Lukanov

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Dynamic QoS-aware intelligent edge computing resource management algorithm for body area networks by MU Siqi, WEN Shuo, LU Yang, AI Bo

“…The existing resource allocation methods in edge computing network are difficult to efficiently and flexibly support dynamic QoS of multi-source heterogeneous tasks in BAN. …”
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Community Aware Source-Based Incentive Strategy to Mitigate Node Selfishness in Social Internet of Things by Saood Iqbal, Muhammad Muneer Umar, Noha Alnazzawi, Shafiullah Khan

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Reinforcement Learning and Multi-Access Edge Computing for 6G-Based Underwater Wireless Networks by Juan Carlos Cepeda-Pacheco, Mari Carmen Domingo

“…In this approach, Autonomous Underwater Vehicles (AUVs) bring edge computing as close as possible to the source devices. …”
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