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3481
Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System...
Published 2025-04-01“…Controller parameters are fine‐tuned using a novel metaheuristic method called the Skill Optimization Algorithm (SOA). The research assesses controller performance using multiple indices Integral of Time‐weighted Squared Error (ITSE), Integral of Squared Error (ISE), Integral of Time‐weighted Absolute Error (ITAE), and Integral of Absolute Error (IAE) and finds that ISE yields the most optimal results. …”
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3482
An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer
Published 2025-04-01“…To enhance predictive performance, the Aquila Optimizer, a nature-inspired algorithm, is employed to fine-tune critical hyperparameters, ensuring optimal model convergence and performance. …”
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3483
Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm
Published 2022-01-01“…After 231 iterations of particle swarm optimization algorithm, the optimal value is 6.83650785e-001. …”
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3484
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3485
AI-Driven Predictive Maintenance in Mining: A Systematic Literature Review on Fault Detection, Digital Twins, and Intelligent Asset Management
Published 2025-03-01“…As a response, industries are integrating predictive monitoring technologies, including machine learning, the Internet of Things, and digital twins, to enhance early fault detection and optimize maintenance strategies. This Systematic Literature Review analyzes 166 high-impact studies from Scopus and Web of Science, identifying key trends in fault detection algorithms, hybrid AI models, and real-time monitoring techniques. …”
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3486
NSGA-II-based load resource management for frequency and voltage support
Published 2025-04-01Get full text
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3487
Blockchain smart contract vulnerability detection based on GR algorithm
Published 2025-04-01“…Thus, a robust data foundation for multi-category detection was established. At the algorithmic design level, an improved GR (gated recurrent unit-random forest) algorithm model was proposed. …”
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3488
Advanced Planning Systems in Production Planning Control: An Ethical and Sustainable Perspective in Fashion Sector
Published 2025-07-01“…The integration of metaheuristic algorithms—especially Ant Colony Optimization (ACO) and hybrid models like GA-ACO—further improves optimization performance by offering high-quality, near-optimal solutions without requiring extensive structural modeling. …”
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3489
Creating Balance on Bandwidth Consumption using Network Coding in Wireless Sensor Networks
Published 2024-02-01“…The results show that the proposed model and algorithm, due to informed routing and NC, can improve the parameters of the average required time to find the route optimal, the total amount of virtual flow in networkâs edges, the average latency end-to-end of the network, the consumed bandwidth, the average lifetime of the network and the consumed energy, or not very weak compared to other models. …”
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3490
Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription
Published 2025-07-01“…Effective and personalized treatment strategies are essential for improving patient outcomes and reducing healthcare costs. …”
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3491
Interior Point Algorithm for Multi-UAVs Formation Autonomous Reconfiguration
Published 2016-01-01“…Combined with three kinds of cost functions, nonlinear dynamic equations, and four inequality constraints, one nonlinear multiobjective optimization problem is constructed. …”
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3492
Adaptive dynamic ϵ-simulated annealing algorithm for tumor immunotherapy
Published 2025-06-01“…The algorithm is applied to an improved tumor immunotherapy model (ITIT), formulated using ordinary differential equations (ODEs) based on established experimental and clinical studies. …”
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3493
Time-Dependent Vehicle Routing Problem with Drones Under Vehicle Restricted Zones and No-Fly Zones
Published 2025-02-01“…Compared to the genetic neighborhood search algorithm and the hybrid genetic algorithm, the improvement rates are 5.1% and 13.0%, respectively. …”
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3494
Application of Improved Image Processing Technology in New Media Short Video Quality Improvement in Film and Television Postproduction
Published 2023-01-01“…In this paper, a convolutional neural network combined with a nonlinear activation function is used to establish an improved image processing technology model to efficiently extract image features. …”
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3495
Launch dynamics modeling and simulation of box-type multiple launch rocket system considering plane clearance contact
Published 2025-05-01“…To quantify the contact force and friction effect between the slider and guide, the contact force model and modified Coulomb model were introduced. …”
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3496
Blueberry Remaining Shelf-Life Prediction Based on the PSO-CNN-BiLSTM-MHA Model
Published 2025-01-01“…In this study, seven key features were selected from fifteen quality indicators of blueberries using the embedded method, and the PSO algorithm was used to determine the optimal hyperparameter combination of the model, which effectively improved its prediction performance. …”
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3498
Investigation and application of data balancing and combined discriminant model in rock burst severity prediction
Published 2024-11-01“…Ultimately, a BO-MLP-RF composite prediction model was constructed based on Bayesian Optimization (BO), Multilayer Perceptron (MLP), and Random Forest (RF) algorithms, with the Bayesian Optimization method ensuring that the model fits the training data well and generalizes to the test data. …”
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3499
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3500
Economic Structure Analysis Based on Neural Network and Bionic Algorithm
Published 2021-01-01“…In the shallow neuroevolutionary, the improved genetic algorithm (IGA) based on elite heuristic operation and migration strategy and the improved coyote optimization algorithm (ICOA) based on adaptive influence weights are proposed, and the shallow neuroevolutionary method based on IGA and the shallow neuroevolutionary method based on ICOA are applied to the weight space of backpropagation (BP) neural networks. …”
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