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A Solution for Predicting the Timespan Needed for Grinding Roller Bearing Rings
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122
The accuracy of image-based individual tree crown detection and delineation across vegetation types
Published 2025-07-01“…The Pit-Free CHM algorithm generally outperforms others, yielding higher match rates in the delineation of tree crowns. …”
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Optimization Management of Storage Location in Stereoscopic Warehouse by Integrating Genetic Algorithm and Particle Swarm Optimization Algorithm
Published 2024-01-01“…The management of a three-dimensional warehouse is a key part of the upper computer monitoring and management system for three-dimensional warehouses. …”
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125
An RBF Neural Network Combined with OLS Algorithm and Genetic Algorithm for Short-Term Wind Power Forecasting
Published 2013-01-01“…This paper proposes a hybrid method that combines orthogonal least squares (OLS) algorithm and genetic algorithm (GA) to construct the radial basis function (RBF) neural network for short-term wind power forecasting. …”
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126
Influence of Explanatory Variable Distributions on the Behavior of the Impurity Measures Used in Classification Tree Learning
Published 2024-11-01“…Our analysis aims to use these measures in the interactive learning of decision trees, particularly in the tie-breaking situations where an expert needs to make a decision. …”
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127
Algorithms for Majority Decoding of Group Codes
Published 2015-08-01“…In addition to the algorithms needed to implement a classical decoder of J. …”
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128
How Much Power Is Needed for RIS to Beat Relays? A Sustainability Framework
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129
Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM
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130
A Spatial Crowdsourcing Engine for Harmonizing Volunteers’ Needs and Tasks’ Completion Goals
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131
A novel multi-scale and fine-grained network for large choroidal vessels segmentation in OCT
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132
Improved Cylinder-Based Tree Trunk Detection in LiDAR Point Clouds for Forestry Applications
Published 2025-01-01“…The study showed the following results: (1) The average difference between the inlier rates of tree trunks and non-tree points for the three sample plots using RANSAC-CyF were 0.59, 0.63, and 0.52, respectively, which were significantly higher than those using the Least Squares Circle Fitting (LSCF) algorithm and the Random Sample Consensus Circle Fitting (RANSAC-CF) algorithm (<i>p</i> < 0.05). (2) RANSAC-CyF required only 2 and 8 clusters to achieve a 100% detection success rate in Plot 1 and Plot 2, while the other algorithms needed 26 and 40 clusters. (3) The effective distance threshold range of RANSAC-CyF was more than twice that of the comparison algorithms, maintaining stable inlier rates above 0.9 across all tilt angles. (4) The RANSAC-CyF algorithm still achieved good detection performance in the challenging Plot 3. …”
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133
Extraction of exact symbolic stationary probability formulas for Markov chains in finite space with application to production lines. part II: unveiling accurate formulas for very s...
Published 2025-07-01“…The proposed algorithm results shed light on the well-known phenomenon of production lines known as the “bowl phenomenon”. …”
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Proposing an Improved Version of the Bat Algorithm
Published 2024-12-01“…Therefore, when a fast and accurate solution is needed, this algorithm becomes an efficient optimizer for any application. …”
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136
How many grid-forming converters are needed? – A techno-economic perspective
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137
Beyond purchase patterns: harnessing predictive analytics to anticipate unarticulated consumer needs
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138
Tree inventory analysis using AI and GIS in Uzbekistan: A case study from Tashkent
Published 2025-01-01“…Rapid urbanization in Tashkent has intensified the need for efficient and accurate methods to monitor and manage urban trees, which play a crucial role in mitigating environmental challenges. …”
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139
Knowledge Acquisition for the Stunting Prevention Expert System (SIPENTING) using Decision Tree and Grid Search
Published 2025-05-01“…The system is Android-based and aims to help pregnant women better understand their nutritional needs. Testing and validation results show that the Decision Tree model achieved an accuracy of 86.3%.…”
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140
Algorithms for comparing large pedigree graphs
Published 2022-06-01“…The paper considers pedigree graphs that consist of both labeled and unlabeled leaves that make use of parameterized and kernelization algorithms to solve the problem. The kernelization algorithm executes in $O(k^3)$ for the BCP graphs.…”
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