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861
Path Planning in Narrow Road Scenarios Based on Four-Layer Network Cost Structure Map
Published 2025-04-01“…Second, an improved A* algorithm is employed for global planning to ensure safe navigation. …”
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862
A Global Path Planning Algorithm Based on Bidirectional SVGA
Published 2017-01-01“…This algorithm does not construct a visibility graph before the path optimization. …”
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863
Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization
Published 2024-09-01“…In this study, a combination of termination criteria is proposed, utilizing three different criteria to end the algorithmic process. These criteria include measuring the difference between optimal values in successive iterations, calculating the mean value of the cost function in each iteration, and the so-called “DoubleBox” criterion, which is based on the relative variance of the best value of the objective cost function over a specific number of iterations. …”
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864
Hybrid Adaptive Sheep Flock Optimization and Gradient Descent Optimization for Energy Management in a Grid-Connected Microgrid
Published 2025-05-01“…Results demonstrate the efficiency of the proposed hybrid algorithm, achieving substantial improvements in energy efficiency and cost reduction compared to traditional methods like interior point optimization, gradient descent, branch and bound, and a population-based algorithm named Golden Jackal optimization. …”
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865
Multijunction solar cell parameter estimation based on metaheuristic algorithms
Published 2025-03-01“…In addition, The Newton-Raphson Method (NRM) hybrid with meta-heuristic algorithms, or MOAs, is used to improve solution estimates, accelerate convergence rates, reduce computational costs, and enhance robustness. …”
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866
A quadratic weighted centroid algorithm for tunnel personnel positioning
Published 2020-04-01“…The key ideas behind the quadratic weighted centroid algorithm include an optimization of the received signal strength indicator range value scheme, a centroid algorithm based on trilateral measurement positioning, and a weighting factor to improve the positioning accuracy of the trilateral centroid positioning algorithm. …”
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867
MGL-YOLO: A Lightweight Barcode Target Detection Algorithm
Published 2024-11-01“…To address this issue, this paper proposes MGL-YOLO, a lightweight one-dimensional barcode detection network based on an improved YOLOv8, which aims to achieve a high detection accuracy at low computational cost. …”
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868
Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model
Published 2024-08-01“…To improve the efficiency and accuracy of telemedicine diagnostic systems, this study developed an optimized algorithm for the Top-K algorithm. …”
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869
Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction
Published 2024-03-01“…These findings not only underscore the superiority of the algorithm but also highlight its potential to revolutionize liver cirrhosis diagnosis and management practices, potentially leading to improved patient outcomes and reduced healthcare costs. …”
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870
Opposition-based chaotic evolution for optimization
Published 2025-07-01“…Abstract Evolutionary computation algorithms are widely used for solving complex optimization problems, but their practical performance is often hindered by high computational costs and premature convergence. …”
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871
Multiobjective Optimized Routing Protocol for VANETs
Published 2018-01-01“…Fuzzy controllers were employed to assess routes’ costs and their lifetimes. Furthermore, artificial bee colony (ABC) algorithm was used to concurrently optimize all used fuzzy systems and obtain the optimal highest rank of links’ cost values within which the neighbors could be selected as relay nodes in route discovery process. …”
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872
Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis
Published 2024-11-01Get full text
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873
An algorithm for heterogeneous wireless network connections for user preferences and services
Published 2025-05-01“…Using a multi-attribute decision-making (MADM) method that incorporates fuzzy logic and the Fuzzy Analytic Hierarchy Process (FAHP), our goal is to improve the decision-making process for network selection. …”
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874
A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics
Published 2025-07-01“…The framework exhibits excellent capability in multi-objective collaborative optimization. The ENSGA-II algorithm outperforms baseline algorithms significantly across performance metrics, achieving a hypervolume (HV) value of 1.0771 (improving by 72.35% to 109.82%) and an average inverted generational distance (IGD) of 0.0295, markedly better than those of comparison algorithms (ranging from 0.0893 to 0.2714). …”
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875
The Use of Artificial Intelligence Technologies in Energy and Climate Security
Published 2024-12-01Get full text
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876
Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations
Published 2024-11-01“…The paper also explores various ANFIS configurations, including two distinct optimization algorithms, and investigates the impact of the number and type of membership functions on the fuzzy system's performance. …”
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877
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878
Methods and Algorithms for Predictive Analytics of Time Series in Energy Consumption
Published 2024-03-01“…States must minimize carbon dioxide emissions and businesses must optimize their energy costs. In this regard, improving energy efficiency plays a key role in solving the climate crisis and reducing costs for businesses. …”
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879
Transactive energy management for efficient scheduling and storage utilization in a grid-connected renewable energy-based microgrid
Published 2025-03-01“…This study presents an advanced Transactive Energy Management (TEM) approach employing the Slime Mould Algorithm (SMA) to optimize scheduling and storage utilization in grid-connected renewable energy microgrids. …”
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880
A High-Performance and Lightweight Maritime Target Detection Algorithm
Published 2025-03-01“…The experimental results show that the proposed algorithm can achieve a nearly 10 percent mean average precision value improvement with nearly half the model size, compared with counterparts. …”
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