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941
Machine Learning Based Flexible Transmission Time Interval Scheduling for eMBB and uRLLC Coexistence Scenario
Published 2019-01-01“…When multi-scenario services coexist in the 5G networks, exploring optimized resource scheduling and allocation strategies become a critical issue. …”
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942
Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems
Published 2024-01-01“…CRMABs can be applied to resource allocation problems in cyber-physical systems, including sensor/relay scheduling. …”
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943
Interference Mitigation in mmWave Heterogeneous Cloud-Radio Access Network: For Better Performance and User Connectivity
Published 2024-01-01“…It integrates User-RRH associations to mitigate interference, enhance network throughput (via Heuristic Algorithm) and RRH-BBU clustering (via k-means) to manage resources in the network. …”
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944
Task Scheduling in Cloud Environment–Techniques, Applications, and Tools: A Systematic Literature Review
Published 2024-01-01“…Cloud computing has become a revolutionary model for providing computational resources and services via the internet. As the volume of tasks and the dynamic nature of cloud resources increase, several critical challenges emerge, including load balancing, resource utilization, task allocation, and system performance. …”
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945
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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946
User Handover Aware Hierarchical Federated Learning for Open RAN-Based Next-Generation Mobile Networks
Published 2025-01-01“…To address these challenges, we propose MHORANFed, a novel optimization algorithm tailored to minimize learning time and resource usage costs while preserving model performance within a mobility-aware hierarchical FL framework for O-RAN. …”
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947
Optimal QoM in Multichannel Wireless Networks Based on MQICA
Published 2013-06-01“…In this paper, a Multiple-Quantum-Immune-Clone-Algorithm- (MQICA-) based solution was proposed to achieve the optimal channel allocation. …”
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948
Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications
Published 2025-06-01“…This approach enables optimized resource allocation and significantly improves coverage, data rate, and resource utilization compared to conventional methods.…”
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949
Distributed Optimization for Mobile Robots under Mobile Edge Computing Environment
Published 2021-01-01“…The mmW base station provides reliable communication services for MRs under the coverage of information cloud (IC). We design a joint resource and power allocation strategy aimed at minimizing network energy consumption. …”
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950
A Machine Learning Approach for Quantifying Academic Misconduct
Published 2024-12-01“…To deal with this problem effec tively, a clear understanding of its magnitude is necessary for planning and resource allocation. This paper proposes a machine learning algorithm to quantify the mag nitude of academic misconduct among undergraduate students. …”
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951
A Reputation Value-Based Task-Sharing Strategy in Opportunistic Complex Social Networks
Published 2021-01-01“…The model consists of a task-sharing decision model that integrates latency and energy consumption, and a reputation value-based model for the allocation of the computational resource game. The two submodels apply an improved particle swarm algorithm and a Lagrange multiplier, respectively. …”
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952
Genomic selection optimization in blueberry: Data‐driven methods for marker and training population design
Published 2024-09-01“…Our contribution in this study is threefold: (i) for the genotyping resource allocation, the use of genetic data‐driven methods to select an optimal set of markers slightly improved prediction results for all the traits; (ii) for the long‐term implication, we carried out a simulation study and emphasized that data‐driven method results in a slight improvement in genetic gain over 30 cycles than random marker sampling; and (iii) for the phenotyping resource allocation, we compared different optimization algorithms to select training population, showing that it can be leveraged to increase predictive performances. …”
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953
Security performance analysis for cell-free massive multiple-input multiple-output system with multi-antenna access points deployment in presence of active eavesdropping
Published 2022-08-01“…Compared to equal power allocation, the proposed power control algorithm can further boost the network security performance.…”
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954
A multi objective optimization framework for smart parking using digital twin pareto front MDP and PSO for smart cities
Published 2025-03-01“…Evaluation outcomes also show that the proposed algorithm is better than Round Robin, Random Allocation, and Threshold Based algorithms in terms of 25% improvement in the search time, 18% better energy usage, and 30% less traffic congestion. …”
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955
Chemical Properties of Heterogenous Catalysts in Improving Yield of Biofuel Production
Published 2025-01-01“…It systematically optimizes hub layouts, flexible resource allocation, and dynamic control by employing spatial topology algorithms, multi-agent game models, and digital twin technology.A three-tier toolkit comprising “model classification,” “algorithm adaptation,” and “scenario application” has been developed to address issues such as facility layout mismatches, inefficient resource scheduling, and limited resilience to sudden surges in passenger flow.Empirical evidence indicates that, following optimization, the distance between subway and bus connections is reduced to 150 meters, decreasing transfer time by 40%. …”
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956
High-Level Synthesis under Fixed-Point Accuracy Constraint
Published 2012-01-01“…Indeed, high-level synthesis requires operator word-length knowledge to correctly execute its allocation, scheduling, and resource binding steps. …”
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957
NOMA-based secure computation offloading in marine Internet of things
Published 2024-09-01“…Considering the requirements such as energy constraints and security transmission, the offloading ratio, transmitting power, computation resource allocation and NOMA cluster selection were jointly optimized with the objective of minimizing the maximum task processing latency. …”
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958
Optimal Operation Method for Microgrid with Wind/PV/Diesel Generator/Battery and Desalination
Published 2014-01-01“…The power supply mode of island microgrid with a variety of complementary energy resources is one of the most effective ways to solve the problem of future island power supply. …”
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959
Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation
Published 2024-12-01“…By leveraging the adaptability of fuzzy logic to adjust PSO parameters dynamically, the method optimizes the allocation and utilization of diverse energy resources within a grid-connected microgrid. …”
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960
Using random subcarrier weighting for multi-carrier systems physical layer security
Published 2012-10-01“…An OFDM security model and a physical layer security transmission scheme were proposed for multi-carrier systems to achieve low probability of interception.In contrast to the resource allocation algorithm which would be disabled at the low SNR,this method designed the subcarrier transmission weighting vectors to randomize the eavesdropper’s signals but not the authorized receiver’s signals.The channel state information was the only character to distinguish authorized receivers and eavesdroppers,which was conducted to guide the weighting vectors design.Simulation results show that the proposed method guarantees that authorized receiver performs transmitted reference demodulation successfully,while the eavesdroppers can not detect the transmitted symbols.…”
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