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Suggested Topics within your search.
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Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL
Published 2025-01-01“…The energy consumption minimization is achieved by jointly optimizing the task offloading proportions, transmit power allocations, and computational resource distributions while ensuring the overall deadline constraints and the minimum processing size requirements in each scheduling cycle. …”
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Evaluation of biokinetics and dosimetry in [131I]-NaI therapies: whole-body images quantification versus lower limb region
Published 2020-06-01“…It has been observed that the absorbed dose values provided by thigh region dosimetry represent 87% of the absorbed dose value provided by whole-body dosimetry. Supposing the percentage difference between the values obtained by both dosimetric methods, it was possible to find a average correction factor that can be applied to the dosimetry data based on ROI in the thigh region, making dose values absorbed to become similar in the two dosimetric methods. …”
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Method for constructing an adaptive suboptimal stationary train traffic controller based on artificial neural networks
Published 2021-04-01“…Adequacy check is not part of the known methods of optimal control theory. To eliminate this drawback, it is proposed to use the method of optimal (suboptimal) traction calculations based on artificial neural networks. …”
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From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology
Published 2025-06-01“…Among the 72 models combining nine feature selection methods and eight machine learning classifiers, the optimal model combination achieved discriminative performance with an average area under the curve (AUC) of 0.615 over 100 iterations under five‐fold cross‐validation. …”
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Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review
Published 2025-07-01“…The core of HEV efficiency lies in the Energy Management Strategy (EMS), which regulates the energy distribution between the internal combustion engine and the electric motor. While rule-based and optimization methods have formed the foundation of EMS, their performance constraints under dynamic conditions have prompted researchers to explore artificial intelligence (AI)-based solutions. …”
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Development of Eccentric Transmitter Transducer for LWD Acoustic Remote Detection
Published 2025-06-01“…To address the challenge that traditional logging while drilling (LWD) acoustic transducers lack directional radiation capability, hindering the identification of geological structures outside the borehole in drilling environments, this study developed an eccentric transmitter transducer transducer with directional radiation functionality. …”
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Multi-Objective Vibration Control of a Vehicle-Track-Bridge Coupled System Using Tuned Inerter Dampers Based on the FE-SEA Hybrid Method
Published 2025-08-01“…To address the adverse effects of Tuned Inertia Dampers (TIDs) on track slab vibrations while controlling high-frequency rail vibrations, a hybrid Finite Element-Statistical Energy Analysis (FE-SEA) method is developed for modeling the vehicle-track-bridge coupled system. …”
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Characteristics and Outcomes of People With COPD Who Experience Exacerbations While on Inhaled Triple Therapy: Results of the SIRIUS I Cohort Study in the US (2015–2019)
Published 2025-06-01“…During the 12-month follow-up, mean (SD) all-cause and COPD costs were $63,178 ($77,061) and $26,153 ($47,085), respectively.Conclusion: There is high mortality and considerable HCRU and healthcare costs incurred by people with COPD experiencing frequent moderate/severe exacerbations while on TT. Optimization of COPD management and new therapies are needed to reduce disease burden in this population.Keywords: COPD, burden of illness, exacerbation, inhaled triple therapy, mortality, healthcare resource utilization…”
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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration
Published 2025-07-01“…This paper presents a novel collaborative data processing framework that enhances anomaly detection in ICS by integrating the Grey Wolf Optimizer with Autoencoders. The proposed approach optimizes GWO by improving prey selection, encircling mechanisms, and initial population generation, while enhancing AE dropout functionality for improved model generalization. …”
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Optimal Design of Multiband Microstrip Antennas by Self-Renewing Fitness Estimation of Particle Swarm Optimization Algorithm
Published 2019-01-01“…The optimized results show that the purpose of rapid optimization can be achieved while ensuring the design accuracy.…”
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Development of a four autophagy-related gene signature for active tuberculosis diagnosis
Published 2025-05-01“…RT-qPCR validation in whole blood samples confirmed elevated expression in ATB, while an SVM model achieved promising differentiation (AUC 0.86 for ATB vs. …”
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Dynamic changes in aroma of large-leaf yellow tea during the whole processing at an industrial scale: From fresh leaf to finished tea
Published 2025-05-01“…In contrast, floral compounds like geraniol and linalool declined progressively, while pyrazines were mainly generated during the final roasting and increased with roasting intensity. …”
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller
Published 2025-08-01“…The proposed GWO-PID method overcomes these limitations by leveraging the GWO algorithm’s global search capability to dynamically optimize the PID gains (Kp, Ki, Kd) based on a composite fitness function that minimizes Mean Squared Error (MSE) and THD. …”
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Optimization of the Process of Selection of Software in the Organization
Published 2020-02-01“…The significance of the research results is due to the lack of widely available methods in open access for the optimal selection of software as a tool, not related to involving external agents in the process and having the necessary scalability to use them, including collective, in organizations. …”
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Colonial bacterial memetic algorithm and its application on a darts playing robot
Published 2025-03-01“…This combination of natural and artificial evolutionary elements results in a robust algorithm capable of handling complex challenges in robotics, such as constraints, multiple objectives, large search spaces, and complex models, while delivering fast and accurate solutions. CBMA incorporates features like multi-level clustering, dynamic gene selection, hierarchical population clustering, and adaptive co-evolutionary mechanisms, enabling efficient management of task-specific parameters and optimizing solution quality while minimizing resource consumption. …”
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Optimal Keratoplasty for the Correction of Presbyopia and Hypermetropia
Published 2017-01-01“…Methods. Consecutive patients undergoing bilateral optimal keratoplasty for refractive presbyopic and hypermetropic corrections were enrolled. …”
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Investigation of a Multi-Strategy Ensemble Social Group Optimization Algorithm for the Optimization of Energy Management in Electric Vehicles
Published 2022-01-01“…A multi-strategy ensemble social group optimization algorithm (ME-SGO) to improve the exploration for complex and composite landscapes through distance-based strategy adaption and success-based parameter adaption while incorporating linear population reduction is proposed. …”
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