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1781
A sensorless control scheme based on fractional order super-twisting algorithm and improved FLL for PMSM
Published 2024-10-01“…The combination of the super-twisting algorithm (STA) and fractional calculus algorithm (FCA) is applied to the observer, which improves the convergence speed and accuracy. …”
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1782
CNRein: an evolution-aware deep reinforcement learning algorithm for single-cell DNA copy number calling
Published 2025-04-01“…Abstract Low-pass single-cell DNA sequencing technologies and algorithmic advancements have enabled haplotype-specific copy number calling on thousands of cells within tumors. …”
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1783
Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends
Published 2025-05-01“…Notably, research since 2019 highlights a shift toward machine‐based algorithms aimed at improving intensity predictions. …”
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1784
Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11
Published 2024-11-01“…[Methods]The YOLOv11-AP2S model enhanced the YOLOv11 algorithm by incorporating a series of improvements to its backbone network, neck, and head components. …”
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1785
Estimation of the Angles of a Robotic Arm with 7-Free Degrees Using an Improved Hybrid ESSA Algorithm
Published 2023-01-01“…The electro-search algorithm (ESO) encounters challenges arising from its slow convergence rate and propensity to descend into local optima. …”
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1786
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1787
Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms
Published 2022-01-01“…Data clustering algorithms experience challenges in identifying data points that are either noise or outlier. …”
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1788
Firefly Algorithm-Based Artificial Neural Network to Predict the Shear Strength in FRP-Reinforced Concrete Beams
Published 2023-01-01“…Findings show that regarding the shear strength of FRP-reinforced concrete beams, the firefly algorithm-optimized model performs better than the other four models. …”
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1789
Joint optimization algorithm for 6G network task offloading and fine-grained slice resource scheduling
Published 2024-05-01“…The simulation results show that, compared with the traditional algorithm, the proposed algorithm can reduce the computing cost while meeting the business needs of users. …”
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1790
A Low-Complexity Resource Allocation Algorithm for MIMO-OFDMA Multicast Systems with Spectrum-Guarantee Provisioning
Published 2012-01-01“…We study the important problem of resource allocation for the downlink of Multiple-Input Multiple output (MIMO) Multicast Wireless Systems operating over frequency-selective channels and we propose a low-complexity but efficient resource allocation algorithm for MIMO-enabled OFDMA systems. The proposed solution guarantees a minimum spectrum share for each user while also takes advantage of the multicast transmission mode. …”
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1791
The “One-fifth Rule” with Rollbacks for Self-Adjustment of the Population Size in the (1 + (λ,λ)) Genetic Algorithm
Published 2020-12-01“…Self-adjustment of parameters can significantly improve the performance of evolutionary algorithms. A notable example is the (1 + (λ,λ)) genetic algorithm, where adaptation of the population size helps to achieve the linear running time on the OneMax problem. …”
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1792
Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm
Published 2014-01-01“…This paper presents a successive application of modified artificial neural network (MANN) combined with a mild intrusive genetic algorithm (MIGA) to the oil well characteristics with promising results. …”
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1793
Supervised machine learning classification algorithms for detection of fracture location in dissimilar friction stir welded joints
Published 2021-10-01“…Supervised Machine Learning algorithms are further sub-divided into two types i.e. regression algorithms and classification algorithms. …”
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1794
Joint optimization algorithm for 6G network task offloading and fine-grained slice resource scheduling
Published 2024-05-01“…The simulation results show that, compared with the traditional algorithm, the proposed algorithm can reduce the computing cost while meeting the business needs of users. …”
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1795
Sentiment Analysis of 'Free Lunch for Children' Policy on Social Media X Using Random Forest Algorithm
Published 2025-03-01“…The Random Forest algorithm proved to be quite effective in classifying public sentiment regarding the policy of “Free Lunch for Children.” …”
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1796
Study on Centroid Type-Reduction of Interval Type-2 Fuzzy Logic Systems Based on Noniterative Algorithms
Published 2019-01-01“…Interval type-2 fuzzy logic systems have favorable abilities to cope with uncertainties in many applications. While the block type-reduction under the guidance of inference plays the central role in the systems, Karnik-Mendel (KM) iterative algorithms are standard algorithms to perform the type-reduction; however, the high computational cost of type-reduction process may hinder them from real applications. …”
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1797
Fuzzy-Based Hybrid Location Algorithm for Vehicle Position in VANETs via Fuzzy Kalman Filtering Approach
Published 2019-01-01“…Since GPS is possibly affected by satellite signal in real urban environment, while WiFi is only suitable for urban and CN is affected by the number of Base Stations (BSs) and signal strength, then a fuzzy-based hybrid location algorithm is developed. …”
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1798
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1799
Grid Active Power Support Using Green DC Microgrid Based on Super Twisting Control Algorithm
Published 2025-01-01“…In this paper, we investigate the second order sliding mode controller, particularly the super-twisting algorithm in order to give active power support to the grid, while the three-phase inverter is controlled to ensure adequate power sharing, DC voltage regulation and unity power factor. …”
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1800
A Multiobjective Evolutionary Algorithm for Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Sensor Network
Published 2015-05-01“…The simulation results show that the proposed algorithm can reduce the average energy consumption of cognitive sensor node, while improving the global probability of spectrum sensing.…”
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