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Robot-Based Procedure for 3D Reconstruction of Abdominal Organs Using the Iterative Closest Point and Pose Graph Algorithms
Published 2025-02-01“…The results are a low root mean squared error (1.1–3.37 mm) and dense point clouds. The proposed procedure leads to a plausible 3D model, and there is no need for complex hand–eye calibration, as this step can be compensated for by pose optimization algorithms.…”
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Parameter Estimation for Three-Phase Induction Motor Based on Performance Curves and Differential Evolution
Published 2025-01-01“…This paper introduces a novel and easy-to-implement offline parameter estimation method that eliminates the need for additional instrumentation by leveraging manufacturer performance curves and differential evolution optimization algorithm. …”
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63
ON SUPER (3n+5,2)- EDGE ANTIMAGIC TOTAL LABELING AND IT’S APPLICATION TO CONSTRUCT HILL CHIPER ALGORITHM
Published 2023-04-01“…This study discusses the use of Super (3n+5,2)- edge antimagic total labeling to construct the Hill Chiper algorithm. …”
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64
Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm
Published 2019-10-01“…Knowledge of the cutting forces is needed for estimation of power requirements and for the design of machine tool elements, tool-holders and fixtures, adequately rigid and free from vibration. …”
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Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm
Published 2019-09-01“…Knowledge of the cutting forces is needed for estimation of power requirements and for the design of machine tool elements, tool-holders and fixtures, adequately rigid and free from vibration. …”
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66
Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation
Published 2020-07-01“…Three-dimensional (3D) reconstruction from images is a most beneficial method of object regeneration by using a photo-realistic way that can be used in many fields. …”
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67
Optimizing water demand in citrus orchards: a novel model using evolutionary algorithms on Sentinel-1 time series data
Published 2025-12-01“…To adjust the model to contemporary climate conditions, time-series data from the Sentinel-1 Interferometric Wide (IW) satellite (VV and VH polarizations) from 2021 and 2022 were employed. Employing genetic algorithms and the Weibull distribution, the study incorporated 3D radiation models from backscatter data, a spatial interpretation of water and radiation dynamics, which, in turn, validated CARP-flux’s performance. …”
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68
Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games
Published 2025-01-01“…Using data from the popular first-person action game Call of Duty®: Modern Warfare® III, we show that our algorithm consistently outperforms baseline algorithms that rely solely on individual players’ past behavior, achieving improvements in detection rate of up to 24.56 percentage points or 51.5%. …”
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69
Business Optimization of Financial Centers in Pharmaceutical Enterprises Based on Robotic Process Automation Technology
Published 2025-01-01“…The test results showed that the decision tree algorithm accurately classified different types of samples into the correct category when distinguishing them. …”
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70
Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects
Published 2024-11-01“…This paper presents a novel algorithm developed in MATLAB for simulating the measurements of any 2D/3D laser line sensor on STL CAD models. …”
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71
Computationally Enhanced UAV-Based Real-Time Pothole Detection Using YOLOv7-C3ECA-DSA Algorithm
Published 2025-01-01“…Road deterioration due to potholes has a significant impact on traffic safety and infrastructure maintenance, highlighting the need for detection systems that combine precision with real-time capabilities. …”
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72
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds
Published 2024-12-01“…Laser-scanned point clouds of forests make it possible to extract valuable information for forest management. To consider single trees, a forest point cloud needs to be segmented into individual tree point clouds. …”
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73
Automated irrigation of apple trees based on dendrometer sensors
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74
Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi...
Published 2025-06-01“…Boruta algorithm identified 9 confirmed variables, 3 tentative variables, and 30 rejected variables. …”
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Basic parameters in speech processing. The need for evaluation
Published 2014-04-01Get full text
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About need to improve game resource management
Published 2016-02-01“…Feasible and urgently needed goal for the nearest future is the improvement of the monitoring system and the quota system as well as the eradication of poaching not only by enhancing the control and repressive measures, but also by improving management of resource potential.…”
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A Machine Learning Algorithm Using Texture Features for Nighttime Cloud Detection from FY-3D MERSI L1 Imagery
Published 2025-03-01“…Nighttime cloud detection using infrared (IR)-only information needs to be improved. Based on a collocated dataset from Fengyun-3D Medium Resolution Spectral Imager (FY-3D MERSI) Level 1 data and CALIPSO CALIOP lidar Level 2 product, this study proposes a novel framework leveraging Light Gradient-Boosting Machine (LGBM), integrated with grey level co-occurrence matrix (GLCM) features extracted from IR bands, to enhance nighttime cloud detection capabilities. …”
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