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461
PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things
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462
Bioinformatic Methodologies in Assessing Gut Microbiota
Published 2024-12-01“…Overall, bioinformatic approaches are essential for deciphering the complexities of gut microbiota so that, in the future, we may be able to discover treatments and technologies aimed at restoring or optimizing the microbiome. The goal of this review is to describe the differences in methodology and utilization of 16S versus whole-genome sequencing to address the increased understanding of the role that the gut microbiome plays in human physiology and pathology.…”
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463
A multi-objective path optimization method for plant protection robots based on improved A*-IWOA
Published 2024-12-01“…Methods To address the challenges of achieving low energy consumption and efficiency in path planning for plant protection robots operating in mountainous environments, a multi-objective path optimization approach was developed. This approach combines the improved A* algorithm with the Improved Whale Optimization Algorithm (A*-IWOA), utilizing a 2.5D elevation grid map. …”
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464
Process parameter optimization for minimizing overcut in abrasive waterjet deep hole drilling of SS 316L
Published 2025-04-01“…Thereafter, the effectiveness of the suggested algorithm has been validated using quality measures, namely hyper-volume and spacing by comparing it to the approaches of whale optimization, harmony search, and multiverse optimization algorithms. …”
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465
Experimental and computational optimization of sheet metal forming parameters for cylindrical cups of Al1100 and SS202
Published 2024-11-01“…A hybrid approach, combining experimental investigations, Finite Element Analysis (FEA), and the Whale Optimization Algorithm (WOA), was utilized to determine optimal process parameters, including load, compressive strength, and elongation. …”
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466
Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection
Published 2025-07-01“…Further validation was provided by comparing the proposed OeSNN-ABC against five well-known optimization algorithms: particle swarm optimization, grey wolf optimization, flower pollination algorithm, whale optimization algorithm, and grid search, alongside other classifiers such as random forest, support vector machine, and k-nearest neighbor. …”
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467
Comprehensive framework for smart residential demand side management with electric vehicle integration and advanced optimization techniques
Published 2025-03-01“…The paper aims to formulate a robust and efficient RDSM technique to provide an energy utilization scheduling considering various influential factors and critical roles of EVs in RDSM. A Binary Whale Optimization Algorithm (BWOA) approach is proposed as an efficient algorithm for EV’s impact on the RDSM for better energy scheduling. …”
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468
Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System
Published 2020-10-01“…In order to realize the optimal capacity allocation and day-ahead scheduling in wind-solar-hydrogen coupled generation system, the NSGA-II intelligent optimization algorithm is used to solve the multi-objective optimization problem of capacity allocation, and the optimal dispatching algorithm considering hydrogen transportation constraint is constructed on power generation side. …”
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469
Alignment Optimization of Elastically Supported Submarine Propulsion Shafting Based on Dynamic Bearing Load Influence Numbers
Published 2025-04-01“…Taking the equivalent displacements of the bearings as variables, the alignment optimization of the shafting was achieved by combining the genetic algorithm and the response surfaces. …”
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470
A multi-objective aerodynamic performance optimization of a centrifugal vacuum pump and the flow physics analysis
Published 2025-04-01“…The backpropagation neural network was employed as the surrogate model, and the multi-objective optimization was performed using the non-dominated sorting genetic algorithm. …”
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471
Model-based quantitative analysis in two-time-scale decomposed on–off optimal control of greenhouse cultivation
Published 2024-12-01“…These setpoints cannot guarantee maximum profit, which can be treated as the control objective of the optimal control algorithm. This paper investigated on–off optimal control algorithms based on two-time-scale decomposition. …”
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472
Improvement of the Dynamic Response of Robust Sliding Mode MPPT Controller-Based PSO Algorithm for PV Systems under Fast-Changing Atmospheric Conditions
Published 2021-01-01“…The performances are compared to the conventional perturb and observe technique (P&O), PSO, CUCKOO, grey wolf optimization (GWO), and Whale Optimization Algorithm (WOA) in terms of convergence speed, i.e., 0.05 s, tracking speed after extreme change in irradiance 0.03 s, high Ability to track large changes in power before 1 s. …”
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473
Life cycle low-carbon capacity optimization planning of integrated energy systems in manufacturing enterprise parks
Published 2025-06-01“…Addressing the balance between carbon emission reduction and investment costs in integrated energy systems (IES) optimization of capacity configuration and incomplete life cycle boundaries issues, this paper establishes a multi-objective optimization model for IES in a whole life cycle boundary. …”
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474
On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, C...
Published 2025-04-01“…Background: It is desirable to iterate the maximum likelihood expectation–maximization (MLEM) algorithm to the point of convergence to obtain the optimal result. …”
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475
Determination of future gully erosion risk and its spatially quantitative interpretability of driving factors in regional scale using machine learning algorithms
Published 2025-07-01“…This study revealed the future risk of gully erosion under the existing topography, climate, and human activities conditions in the rolling hilly region of northeast China, and explored the optimal algorithm for GERM, which can serve as a reference for the investigation, simulation, and management of gully erosion.…”
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476
Construction of Analogy Indicator System and Machine-Learning-Based Optimization of Analogy Methods for Oilfield Development Projects
Published 2025-08-01“…To meet the need for quick evaluation of overseas oilfield projects with limited data and experience, this study develops an analogy indicator system and tests multiple machine-learning algorithms on two analogy tasks to identify the optimal method. …”
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477
MbGWO-SFS: Modified Binary Grey Wolf Optimizer Based on Stochastic Fractal Search for Feature Selection
Published 2020-01-01“…The results, compared to binary versions of the-state-of-the-art optimization techniques such as the original GWO, SFS, Particle Swarm Optimization (PSO), hybrid of PSO and GWO, Satin Bowerbird Optimizer (SBO), Whale Optimization Algorithm (WOA), Multiverse Optimization (MVO), Firefly Algorithm (FA), and Genetic Algorithm (GA), show the superiority of the proposed algorithm. …”
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478
Active and Reactive Power Control for Wind Turbines Based DFIG Using LQR Controller with Optimal Gain-Scheduling
Published 2021-01-01“…The performance of the optimal controller represented by a linear quadratic regulator is further enhanced using the whale optimization algorithm in a multiobjective optimization environment. …”
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479
Improved swin transformer-based thorax disease classification with optimal feature selection using chest X-ray.
Published 2025-01-01“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”
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480
Optimization of Laser-Induced Hybrid Hardening Process Based on Response Surface Methodology and WOA-BP Neural Network
Published 2025-02-01“…This study uses Box–Behnken design (BBD) experiments to analyze key process parameters and develops response surface methodology (RSM) and whale-optimization-algorithm-optimized back-propagation neural network (WOA-BPNN) models for prediction and optimization. …”
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