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An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining
Published 2025-09-01“…This study proposes a novel hybrid artificial intelligence (AI) framework that integrates physics informed neural networks (PINNs) with conventional machine learning (ML) algorithms for the accurate prediction and optimization of BIGV. …”
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1563
Model Predictive Control-Based Energy Management System for Cooperative Optimization of Grid-Connected Microgrids
Published 2025-03-01“…Finally, the cooperative operation of MGs was compared with the independent operation of a single MG to analyze the impact of the cooperative approach on performance improvement. Quantitatively, integrating predictions reduced operating costs by 19.23% compared to the case without predictions, while increasing costs by approximately 3.7% compared to perfect predictions. …”
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1564
Optimal Configuration of Additional Heat Source for CHP System considering Demand Response Based on Comprehensive Benefits
Published 2024-01-01“…Furthermore, an improved memetic algorithm (IMA) combined with a hierarchical sequence method is designed to solve the optimization model characterized by multiple objectives, hierarchical levels, and nonlinearity. …”
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1565
Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers
Published 2025-03-01“…Meta-heuristic algorithms offer an alternative to traditional gradient-based optimizers for improving DNNs performance. …”
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1566
A Dynamic Interval Auto-Scaling Optimization Method Based on Informer Time Series Prediction
Published 2025-01-01“…This indicates a significant improvement in the service quality metrics of online applications. …”
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1567
Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends
Published 2025-02-01“…The scientific community investigates new approaches to further improve the physicochemical properties of biodiesel in more economical ways. …”
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1568
Recursive Objective Space Exploration (ROSE): A computationally efficient deterministic approach for bi-objective optimization.
Published 2025-01-01“…In this paper, we propose an alternative strategy that tackles bi-objective optimization problems by exploring the objective space recursively at a reduced computational cost. …”
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1569
A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs)
Published 2025-01-01“…However, the efficiency of these applications depends on optimizing video compression parameters to maintain high detection accuracy while minimizing bandwidth usage and computational costs. …”
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A Modified Pareto Ant Colony Optimization Approach to Solve Biobjective Weapon-Target Assignment Problem
Published 2017-01-01“…Simulation results show that the proposed algorithm is successfully applied in the field of WTA which improves the performance of the traditional P-ACO algorithm effectively and produces better solutions than the two well-known multiobjective optimization algorithms NSGA-II and SPEA-II.…”
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1571
Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction
Published 2025-05-01“…By leveraging attention parameters, ELPM acquires spatio-temporal adaptive weights, enabling accurate location predictions. We also design an improved service allocation strategy, MESDA, based on the Gray Wolf Optimization (GWO) algorithm. …”
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1572
Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions
Published 2025-05-01“…Advances in computer vision technology have driven the research on vision-based structural vibration analysis and damage identification. In this study, an optimized Lucas–Kanade optical flow algorithm is proposed, and it integrates feature point trajectory analysis with an adaptive thresholding mechanism, and improves the accuracy of the measurements through an innovative error vector filtering strategy. …”
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Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model
Published 2025-05-01“…The data show that the optimized root mean square error (RMSE) value under level 5 sea conditions is 0.01265 compared to 0.01673 before optimization, and the optimized RMSE value under level 6 sea conditions is 0.01140 compared to 0.01479 before optimization, which demonstrates that the error between the predicted value and the actual value of the model decreases. …”
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1574
An emotional neural network based approach for wind power prediction
Published 2017-03-01“…To prevent ENN from stucking in locally optimal solution in the process of training, genetic algorithm was proposed to train ENN. …”
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Advancing In Vivo Molecular Bioimaging With Optimal Frequency Offset Selection and Deep Learning Reconstruction for CEST MRI
Published 2025-01-01“…Firstly, we use an optimization algorithm to identify a set of optimal sparse frequency offsets for data collection. …”
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Multiperiod Location–Allocation Optimization of Construction Logistics Centers for Large-Scale Projects in Complex Environmental Regions
Published 2025-03-01“…Finally, a large-scale railroad construction project in complex environmental regions is used as an example to prove the effectiveness of the model and algorithm. Compared with the single-period model, the multiperiod model designed in this paper provides a total cost reduction of 8.11% for the CLC location–allocation scheme. …”
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Enhancing Power Efficiency in 4IR Solar Plants through AI-Powered Energy Optimization
Published 2023-12-01“…Furthermore, the system can be customized according to your industry’s changing needs and requirements, providing the ability to reduce costs in energy usage while improving the efficiency and productivity of machines.…”
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Development of a Smart Waste Management System for Route Optimization and Adaptive Demand Management in Dubai
Published 2025-07-01“…This paper presents an overview of the development of a Smart Waste Management System (SWMS) that integrates Geographic Information System (GIS) technology with waste route optimization algorithms and adaptive demand management strategies. …”
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