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FungID: Innovative Fungi Identification Method with Chromogenic Profiling of Colony Color Patterns
Published 2025-03-01“…In this study, we introduce FungID, a pilot and novel deep learning algorithm, alongside its user-friendly software implementation, developed by analyzing various fungal species for identification based on chromogenic profiling of colony color patterns via a Convolutional Neural Network. …”
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A Class of Numerical Algorithm for Impact Degree Assessment of Emergency Systems
Published 2013-01-01Get full text
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Multi-scenario Load Combinatorial Optimization Based on Improved Greedy Algorithm
Published 2020-05-01Get full text
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The Patch-Levy-Based Bees Algorithm Applied to Dynamic Optimization Problems
Published 2017-01-01Get full text
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226
Improving Parameter Estimation of Fuel Cell Using Honey Badger Optimization Algorithm
Published 2022-05-01Get full text
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227
Performance improvement of data offloading using Krill herd optimization algorithm
Published 2025-03-01“…Two optimization algorithms are proposed to solve the problem: the Krill Herd Algorithm (KHA) and the Greedy algorithm. …”
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228
Modeling Parking Occupancy Using Algorithm of 3D Visibility Network
Published 2025-01-01“…The modernization of the information communication infrastructure of the regional data transmission network has advanced in order to increase the maximum transmission speed of existing transport routes, ensuring the quality of the service and its reliability. In the present research work, a new approach for the 3D visibility network algorithm has been developed, showing how graph theory applied to wireless sensor networks (WSNs) enables technological development for new solutions in areas such as public infrastructure. …”
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229
Optimization of connection patterns between mobile phones and base stations using quantum annealing
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DESCRIPTION AND IDENTIFICATION OF TEMPORAL REGULARITIES FOR FUZZY TIME SERIES WITH APPLICATION OF HYBRID OLS-PATTERNS
Published 2018-12-01“…The possibility of partial data overlapping corresponding to triplets of different patterns is taken into account. The proposed hybrid pattern makes it possible to accelerate the detection of temporal regularities in the data.Conclusion Scientific results are presented by the developed structure for storing information on temporal regularities in data, based on a singly linked linear list, as well as an algorithm for finding regularities in observational data using a set of OLS-patterns. …”
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231
Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction
Published 2022-01-01“…Next, an Attention-based Long Short-Term Memory Wind Prediction algorithm is employed to retain required patterns and forget irrelevant patterns to acquire more satisfactory prediction precision. …”
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Traffic Conflict Prediction for Sharp Turns on Mountain Roads Based on Driver Behavior Patterns
Published 2025-04-01“…We collected information through field observations and driving simulations while analyzing key indicators like the mean speed of vehicles and spacing between vehicles. The FP-Growth algorithm was used to identify frequent behavioral patterns and measure their relationship with traffic conflicts. …”
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Exploring synergistic patterns in bimanual distal limb movements through low dimensional representations
Published 2025-05-01“…Abstract The human hand is a complex manipulator with many joints that can perform various tasks. Neuroscience research has demonstrated that to perform any posture, the brain does not control the individual joints but relies on coactivation patterns called synergies that simultaneously control a set of joints. …”
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Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision
Published 2018-07-01“…A pattern recognition method based on computer vision was developed for the identification of Daiqu large yellow croaker. …”
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Environmental impacts of economic growth: A STIRPAT analysis using machine learning algorithms
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Machine Learning Algorithms in EEG Analysis of Kleefstra Syndrome: Current Evidence and Future Directions
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Exploring IRGs as a Biomarker of Pulmonary Hypertension Using Multiple Machine Learning Algorithms
Published 2024-10-01“…An animal model of PAH was also established to validate hub gene expression patterns. Results: Among the 113 machine learning algorithms, the Lasso + LDA model achieved the highest AUC of 0.741. …”
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