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141
Research on Calibration Algorithm of Camera and LiDAR for Transport Vehicles in Open-pit Mines
Published 2022-12-01“…Based on multiple groups of feature point pairs, the external parameter matrix is obtained by EPnP algorithm. In order to verify the calibration accuracy, this paper projects the point cloud on the image plane and compares its point pair accuracy. …”
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142
AReal-time Detection Method of Vehicle Target Based on Improved YOLOv5s Algorithm
Published 2024-02-01“… Aiming at the high missed detection rate of small target vehicles and the heterogeneous redundant frames in video vehicle detection,a real-time vehicle detection algorithm based on improved YOLOv5s was proposed. …”
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143
Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm
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144
Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem.
Published 2025-01-01“…This study develops an enhanced Secretary Bird Optimization Algorithm (ASBOA) based on the original Secretary Bird Optimization Algorithm (SBOA), aiming to further improve the solution accuracy and convergence speed for wireless sensor network (WSN) deployment and engineering optimization problems. …”
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145
Mobile-YOLO: A Lightweight Object Detection Algorithm for Four Categories of Aquatic Organisms
Published 2025-07-01Get full text
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146
Machine learning algorithms to predict epidural-related maternal fever: a retrospective study
Published 2025-06-01Get full text
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147
Building a Quantum Computer with Photons: Simulation Algorithm for Linear Optical Quantum Systems
Published 2024-09-01“…The evolution of quantum states on photons in linear optical systems has diverse applications, ranging from fundamental to advanced quantum optics experiments for quantum information processing. This research aims to develop a simulation algorithm that focuses on modeling optical elements as a way to study the behavior of quantum states in photons. …”
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148
Research on Dynamic Load Identification Based on Explicit Wilson-θ and Improved Regularization Algorithm
Published 2019-01-01“…To aim at the ill-posed problem in the inverse problem, this paper improves the Tikhonov regularization, proposes an improved regularization algorithm (IRA), and introduces the U-curve method to determine the regularization parameters. …”
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149
An Obstacle Perception Algorithm Based on Multi-Sensor Fusion for Autonomous-Rail Rapid Transit
Published 2024-08-01“…This paper presents an obstacle perception algorithm based on multi-sensor fusion, aimed at addressing omissions and errors, as well as low accuracy in object detection for autonomous-rail rapid transit (ART). …”
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150
Development and Simulation of a Fast Delay Cancellation Algorithm for Digital Multimedia Network Communication
Published 2023-01-01“…Conventional data transmission methods rely solely on extended data storage capacity to achieve this, making it difficult to achieve intelligent scheduling, resulting in delays and optimized performance degradation during communication data transmission. The aim of this paper is to enhance the communication quality of digital multimedia networks by developing an algorithmic model that rapidly mitigates communication delays. …”
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151
Weak Edge Detection Algorithm for Medical Images Based on Full Convolution Neural Network
Published 2021-06-01“…Aiming at the existing image weak edge detection algorithm,it is easy to ignore the selection of threshold in edge calculation,and there is no clustering analysis of the data,which leads to the problem that the detection effect is not good. …”
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152
The algorithmic trap: how social media monetization undermines investigative journalism in local media
Published 2025-07-01“…The research focuses on Indonesia as a Global South democracy due to its lack of regulatory protections. It analyzes how algorithmic monetization, visibility driven by audience engagement, and platform dependency all marginalize journalism that is not able to exercise editorial independence and commit to long-form journalism. …”
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153
Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction
Published 2025-05-01“…This imbalance hinders the detection of minority classes (patients with cancer), which is critical for early diagnosis. This study aims to analyze the performance of Support Vector Machine (SVM) and Random Forest algorithms in predicting breast cancer using oversampling and SMOTEENN preprocessing techniques. …”
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154
MONITORING AND CONTROL ALGORITHMS FOR PRODUCT POSITIONING STRATEGY: INSIGHTS FROM BULGARIA’S BANKING SECTOR
Published 2025-07-01“…The proposed algorithm leverages marketing data collected from 23 Bulgarian banks over the period 2023–2024. …”
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155
Robot path planning based on obstacle avoidance optimization and improved ant colony algorithm
Published 2024-06-01“…Aimed at the problems of slow convergence speed and redundant planning paths in the processing of path planning by ant colony algorithm, an improved ant colony algorithm based on obstacle avoidance information and fast optimization search strategy was proposed. …”
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156
A Simplistic Regression-Based Genetic Algorithm Optimization of Tool-Work Interface Temperature
Published 2022-06-01“…This work aims to investigate the average tool-work interface temperature for the HSS tool and AISI 1040 steel pair. …”
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157
Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm
Published 2025-07-01Get full text
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158
An optimized cubic B-spline algorithm for high-precision approximation of nonlinear transport phenomena
Published 2025-09-01“…The straightforward algorithm, high accuracy and minimal computational efforts are the major advantages of this approach. …”
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159
Software Defect Prediction Based On Deep Learning Algorithms : A Systematic Literature Review
Published 2025-06-01“…However, the six most common evaluation metrics used in SDP were confusion matrix, Scoar-1F, recall, precision, accuracy, and area under the curve (AUC). The top three DL algorithms used in building SDP models and used in predicting software bugs were convolutional neural network (CNN), long-short-term memory (LSTM), and bidirectional LSTM. …”
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160
An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification
Published 2025-05-01“…Abstract Evolutionary algorithms have become a widely-used approach for solving multi-objective optimization problems over the last decades, while feature selection in classification is also a discrete bi-objective optimization problem that aims at simultaneously minimizing the classification error and the number of selected features. …”
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