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961
Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant
Published 2022-01-01“…Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to alter the multiresponse optimization problem to a single-response optimization problem. …”
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962
A A Comprehensive Review of Energy Optimization Techniques in the Internet of Things
Published 2025-06-01“…Others include intelligent optimization methods(e.g. machine, quantum-inspired heuristics), and blockchain-enhanced security. …”
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963
Combination treatment optimization using a pan-cancer pathway model.
Published 2021-12-01“…In order to solve the treatment optimization problems, we combine the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm with a significantly more scalable sampling scheme for truncated Gaussian distributions, based on a Hamiltonian Monte-Carlo method. …”
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964
Optimization of Technological Parameters for Cold Spraying Using the Response Surface Method
Published 2024-08-01“…However, the interaction effect of multiple factors is more scientific. In this study, the response surface method (RSM) was used to optimize the technological parameters of cold spraying. …”
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965
State estimation of DC microgrids using manifold optimization and semidefinite programming
Published 2024-12-01“…DC microgrids are becoming more common in modern systems, so computation methodologies such as the power flow, the optimal power flow, and the state estimation require being adapted to this new reality. …”
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966
Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO
Published 2025-06-01“…Two feature selection mechanisms, which are Particle Swarm Optimization Algorithm (PSO) and Correlation-based Feature Selection Recursive Feature Elimination (RFE) have been used to compare their performances. …”
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967
Uniqueness of Optimal Power Management Strategies for Energy Storage Dynamic Models
Published 2025-03-01“…This proof not only provides a solid theoretical foundation for this algorithm class but also paves the way for developing analytic solutions to more complex optimal control problems incorporating storage. …”
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968
Sustainable circularity performance indicators to optimize waste management at company level
Published 2025-12-01“…From the research results, integrated assessment of environmental, economic and social aspects is more important than ever to guide practitioners and managers to choose sustainability. …”
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969
Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks
Published 2013-08-01“…Since the radio transceiver typically consumes more energies than any other hardware component on a sensor node, it is of great importance to design energy optimized routing algorithm to prolong network lifetime. …”
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970
Collaborative Control and Optimization Mechanism of Thermal Management of New Energy Vehicles
Published 2022-01-01“…The increasingly stringent energy crisis and emission regulations have put forward more stringent requirements for modern automobiles. …”
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971
Mechanical Behavior and Optimization of Functionally Graded Hollow Cylinder with an Elliptic Hole
Published 2020-11-01“…This paper presents a numerical solution and optimization for a functionally graded material cylinder with an elliptic hole subjected to mechanical pressure. …”
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972
A Modular Efficiency Determination Formula for Information Retrieval Evaluations and Optimizations
Published 2023-06-01“…In the present study, a modular efficiency determination formula (MEDEF) to create different efficiency indicators by focusing on IR system evaluations and optimizations from the usability perspective is proposed. …”
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973
Enzymatic Extraction of Hawthorn Pectin Under Ultrahigh Pressure: Optimization and Characterization
Published 2025-05-01“…These results indicate that the optimized UHPEE method is a more efficient technique for extracting hawthorn pectin and effectively enhances its antioxidant activity, suggesting its potential application in the food industry.…”
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974
Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems
Published 2025-01-01“…In this study, a Bayesian optimization (BO) algorithm was used to learn more about the optimal distribution of a fine-scale trap network targeting Helicoverpa zea (Boddie), a significant agricultural pest across North America. …”
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975
Lithium niobate on insulator: an emerging nanophotonic crystal for optimized light control
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976
Improved salp swarm algorithm based optimization of mobile task offloading
Published 2025-05-01“…Through the proposed ISSA-MAOA, the study endeavors to contribute to the enhancement of mobile cloud computing (MCC) frameworks, providing a more efficient and sustainable solution for offloading tasks in mobile applications. …”
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977
Iterative optimization algorithm with structural prior for artifacts removal of photoacoustic imaging
Published 2025-08-01“…In contrast, low-probability values indicate higher randomness, leaning more towards artifacts or noise. As a structural prior, this probability matrix, together with the original PAI result using all array elements, guides the regularized iteration of the PAI results. …”
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978
An improved particle swarm optimization for multilevel thresholding medical image segmentation.
Published 2024-01-01“…Replacing the original costly exhaustive search approach, swarm intelligent optimization algorithms are recently used to determine the optimal thresholds for medical image, and medical images tend to have higher bit depth. …”
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979
Rate optimization using low complex methods with reconfigurable intelligent surfaces
Published 2023-09-01“…The data rate performance of the SDR method is higher than the power method and less than the STM method but with higher computational complexity, more than 6 million complex operations, and 50 min of runtime calculations compared with the other STM and power optimization methods.…”
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980
A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm
Published 2025-08-01“…To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. …”
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