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Voltage regulation in distribution networks by electrical vehicles with online parameter estimation
Published 2024-12-01“…Then we propose an algorithm with online resistance estimation to find the optimal solution without requiring complete information about distribution networks. …”
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2242
Comparative analysis and selection of the geometry of the microphone array based on MEMS microphones for sound localisation
Published 2025-02-01“…The goal is to determine the most effective array architecture and beamforming algorithms to achieve compactness, accuracy, and balanced omnidirectional coverage. …”
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2243
Vehicle routing problem in waste collection: a case study in Son Tra, Da Nang
Published 2024-11-01“…By employing the Dijkstra algorithm, route optimization resulted in a significant reduction in average route length, from 12.94 ± 3.5 km to 9.42 ± 2.67 km, representing a 9-42% improvement. …”
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Machine learning-based prediction method for open-pit mining truck speed distribution in manned operation
Published 2025-06-01“…Using machine learning to achieve accurate prediction of vehicle speed, in order to improve production efficiency, reduce costs, and enhance work safety. …”
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2245
Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods
Published 2025-04-01“…For the dataset to which both the optimized NLM algorithm and semiautomatic thresholding technique were applied, the segmentation model showed the most improved performance. …”
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2246
Distributed robust planning for new power system considering uncertainty and frequency security
Published 2025-08-01“…Secondly, establish a two-stage optimization model for planning and operation under frequency safety constraints, aiming to minimize system costs under frequency safety constraints; Then, iterative solutions are obtained by using column and constraint generation algorithms. …”
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Predictive Ecological Cooperative Control of Electric Vehicles Platoon on Hilly Roads
Published 2025-03-01“…In this paper, a novel strategy based on a decentralized model predictive control (MPC) framework, called predictive ecological cooperative control (PECC), is proposed for vehicle platoon control on hilly roads, aiming to maximize the overall energy efficiency of the platoon. Unlike most existing literature that focuses on suboptimal coordination under predefined leading vehicle trajectories, this strategy employs an approach based on the combination of a long short-term memory network (LSTM) and genetic algorithm (GA) optimization (GA-LSTM) to predict the future speed of the leading vehicle. …”
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2248
Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for...
Published 2025-06-01“…To overcome this issue, Grey Wolf Optimization (GWO) algorithm is proposed to identify the most suitable initial gains for each agent, providing faster adaptation and consistent performance during the training process. …”
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Matching and Control Optimisation of Variable-Geometry Turbochargers for Hydrogen Fuel Cell Systems
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Deep learning-based edge detection for random natural images
Published 2025-03-01“…Deep learning approaches offer significant advantages in capturing high-level representations, thereby improving the accuracy and robustness of edge detection algorithms. …”
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Dynamic Adaptive Environmental Flows (DAE‐Flows) to Reconcile Long‐Term Ecosystem Demands With Hydropower Objectives
Published 2023-07-01“…Even under a drier climate change scenario, this allowed maintenance and improvement of environmental performance in most years, so during severe droughts the water could still be reallocated to hydropower but at a lesser cost to the environment.…”
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Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators
Published 2024-01-01“…Analyzing time series data in industrial settings demands domain knowledge and computer science expertise to develop effective algorithms. AutoML approaches aim to automate this process, reducing human bias and improving accuracy and cost-effectiveness. …”
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2256
YOLOv5-DTW: Gesture recognition based on YOLOv5 and dynamic time warping for digital media design
Published 2025-06-01“…In the recognition stage, firstly, the background and sensor thermal noise are used to enhance the classification data set, and the background optimization preprocessing algorithm is designed to improve the adaptability of the model to the complex background. …”
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Experimental determination and theoretical calculation for CO2 liquid-solid phase equilibrium in PLNG
Published 2024-09-01“…The calculations demonstrated improved accuracy in CO2 solid solubility derived from the established model that was optimized using the genetic algorithm. …”
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Real-Time Multi-Vehicle Scheduling in Tasks With Dependency Relationships Using Multi-Agent Reinforcement Learning
Published 2024-01-01“…Moreover, traditional optimization algorithms make it difficult to achieve timeliness in real-time changing traffic conditions. …”
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Techno-economic analysis and energy management strategies for micro gas turbines: A state-of-the-art review
Published 2024-10-01“…The review critically examines the techno-economic analysis of Micro Gas Turbines, focusing on four major areas: integration with photovoltaic systems, configurations like cogeneration and trigeneration, optimization techniques, and hydrogen utilization. The review reveals that while standalone Micro Gas Turbines face economic challenges, their integration with photovoltaic and battery bank systems significantly improves cost-effectiveness, achieving a cost of electricity as low as $0.263/kWh. …”
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