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3061
Resource allocation strategy based on optimal matching auction in the enterprise network
Published 2019-08-01“…To address the issue that the owners of computer are selfish in the enterprise networks,which caused the low available number of resource nodes and low efficiency of resource allocation,an optimized matching resource allocation strategy OMRA was proposed and its core was the auction mechanism.Selfishness was restrained and the number of available resources was increased by OMRA,so as the operating efficiency of the whole auction market was improved.First,the initial prices were determined by normalizing the costs of different type of resources on the beginning of auction.Secondly,an optimal matching auction algorithm was designed to maximize the interests of the auction markets.Then,service perfecting algorithm was performed such that the sellers could get more services at the current transaction value,thus ensuring the benefits of resource providers.At last,a request price updating algorithm was adopted to assurance that both sellers and buyers could get priorities in the next auction processing.Compared with the cloud resource allocating algorithm via fitness-enabled auction (CRAA/FA),the experiment results indicate that the efficiency of resource allocation improves by 10% and the benefits of market increase by 11.4%.…”
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3062
Load Reconstruction Technique Using D-Optimal Design and Markov Parameters
Published 2015-01-01“…This paper develops a technique for identifying dynamic loads acting on a structure based on impulse response of the structure, also referred to as the system Markov parameters, and structure response measured at optimally placed sensors on the structure. Inverse Markov parameters are computed from the forward Markov parameters using a linear prediction algorithm and have the roles of input and output reversed. …”
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3063
Multipath Branch Model-Aided Differential Evolution Algorithm Based on Regional Error
Published 2024-01-01Get full text
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3064
A New Local Optimal Spline Wavelet for Image Edge Detection
Published 2024-12-01“…Wavelet-based edge detection methods have evolved significantly over the years, contributing to advances in image processing, computer vision, and pattern recognition. This paper proposes a new local optimal spline wavelet (LOSW) and the dual wavelet of the LOSW. …”
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3065
Resource Control in IRS Assisted Multi-Access Edge Computing for Sustainable 6G IIoT Networks
Published 2025-01-01“…Additionally, we propose a resource control algorithm that assigns cell-edge user clusters to specific IRSs based on optimal IRS phase shift and channel correlation criteria. …”
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3066
Finding multiple target optimal intervention in disease‐related molecular network
Published 2008-11-01“…Here, we develop a robust computational algorithm for finding multiple target optimal intervention (MTOI) solutions in a disease network. …”
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3067
Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing
Published 2024-07-01“…Although this non-convex problem can be handled by the alternating minimization (AM) algorithm that alternatively minimizes the divided four sub-problems, it leads to high computational complexity and local optimal solution. …”
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3068
Optimal Report Strategies for WBANs Using a Cloud-Assisted IDS
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3069
Energy-Efficient Aerial STAR-RIS-Aided Computing Offloading and Content Caching for Wireless Sensor Networks
Published 2025-01-01“…We propose a deep reinforcement learning (DRL)–successive convex approximation (SCA) combined algorithm to iteratively achieve near-optimal solutions with low complexity. …”
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3070
Quantum Computation of the Cobb–Douglas Utility Function via the 2D Clairaut Differential Equation
Published 2024-12-01“…The study explores the interaction between the CD model and quantum computation, emphasizing system entropy and Clairaut differential equations in understanding utility’s optimal envelopes. …”
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3071
High throughput computational screening and interpretable machine learning for iodine capture of metal-organic frameworks
Published 2025-05-01“…Subsequently, two machine learning regression algorithms—Random Forest and CatBoost, were employed to predict the iodine adsorption capabilities of MOF materials. …”
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3072
Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion
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3073
Nesting Process Automation in the Footwear Industry: A Hybrid Approach to Minimize Material Waste
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3074
Spatio-Temporal Joint Planning for Integrated Energy Systems with Internet Data Center Considering Privacy Preservation
Published 2025-04-01“…[Objective] With the rapid development of cloud computing and "Internet+", internet data centers (IDCs), as the core infrastructure underlying cloud computing, are in a rapid expansion phase. …”
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3075
Effective Facial Expression Recognition System Using Artificial Intelligence Technique
Published 2024-12-01“…Recognizing these facial expressions accurately is essential for a variety of applications — such as tools that use our faces to interact with computers (human-computer interaction, or HCI), security systems and emotionally intelligent artificial intelligence technologies. …”
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3076
Finger Vein Recognition Using Optimal Partitioning Uniform Rotation Invariant LBP Descriptor
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3077
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3078
Optimizing Police Patrol Strategies in Real-World Scenarios: A Modified PPS-MOEA/D Approach for Constrained Multi-Objective Optimization
Published 2025-03-01“…The results demonstrate the superiority of the proposed approach in terms of the solution quality and computational efficiency. Furthermore, the optimal solution set is discussed and visualized on a map, providing decision makers with practical and actionable insights that align with real-world patrol requirements. …”
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3079
A Talent Cultivation and Performance Evaluation Model Based on a Fuzzy Control Algorithm
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3080
Efficient hardware error correction with hybrid on-offline configuration algorithm for optical processor
Published 2025-08-01“…Here, we propose a hybrid on-offline configuration (HOOC) algorithm for programmable optical processors. This innovative approach combines offline initial value presetting with online perturbed optimization iteration algorithm, enabling precise and highly efficient error correction. …”
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