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1681
Sentiment Analysis of X Users Toward Electric Motorcycles Using SVM and BERT Algorithms
Published 2025-08-01“…The objective was to evaluate algorithm performance in classifying public sentiment, with metrics including accuracy, precision, recall, and computational efficiency. …”
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1682
Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head
Published 2025-06-01“…Finally, the bounding box loss function is optimized as Inner-ShapeIoU, focusing on shape and scale of the bounding box to improve the accuracy for bounding box regression calculation while utilizing auxiliary bounding boxes to expedite convergence speed. …”
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1683
Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm
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1684
Research on E-Commerce Inventory Sales Forecasting Model Based on ARIMA and LSTM Algorithm
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1685
DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects
Published 2025-03-01“…To enable accurate and efficient real-time detection of rail fastener defects under resource-constrained environments, we propose DP-YOLO, an advanced lightweight algorithm based on YOLOv5s with four key optimizations. …”
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1686
Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling
Published 2025-02-01“…Finally, the improved A* algorithm is employed to perform path planning within the environment map generated from the BIM model, resulting in the generation of the optimal path. …”
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1687
Invalid Signatures Searching Bitwise Divisions-Based Algorithm for Vehicular Ad-Hoc Networks
Published 2021-01-01“…Following consideration of the above deficiencies of existing approaches, this paper proposes a factorial bitwise divisions (FBD) algorithm and its optimized version and early-stopping factorial bitwise divisions (EFBD) algorithm. …”
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1688
A Heuristic Algorithm for Deploying Electric Taxi Charging Stations to Enhance Service Quality
Published 2024-09-01“…A heuristic algorithm, Improved K-means iterated with Queuing Theory (IKQT), is proposed. …”
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1689
A Directional Wave Spectrum Inversion Algorithm with HF Surface Wave Radar Network
Published 2025-07-01“…Therefore, a quadratic programming algorithm based on the regularization technique is proposed with an empirical criterion for estimating the optimal regularization parameter, which minimizes the effect of noise to obtain more accurate inversion results. …”
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1690
DScanNet: Packaging Defect Detection Algorithm Based on Selective State Space Models
Published 2025-06-01“…To address the problem of excessive model complexity, a Mamba module incorporating a channel attention mechanism is proposed to optimize the model via its linear complexity. Through experiments on its own dataset, BIGC-LP, DScanNet achieves a high accuracy of 96.8% on the defect detection task compared with the current mainstream detection algorithms, while the number of model parameters and the computational volume are effectively controlled.…”
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1691
High-speed algorithm for carrier frequency recovery and frame synchronization in QPSK-modulated modems
Published 2018-02-01“…In this paper, we propose a fast algorithm for frame synchronization and recovery of the carrier frequency of a QPSK modem using Barker sequences as synchronization signals in conjunction with the coordinated processing. …”
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1692
Machine Learning Techniques for Heart Disease Prediction Using a Multi-Algorithm Approach
Published 2024-11-01“…The novelty of this study lies in the comparative analysis of several algorithms to optimize the heart disease prediction model for clinical use. …”
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1693
A multi strategy bidirectional RRT* algorithm for efficient mobile robot path planning
Published 2025-08-01“…Abstract To address the issues of slow convergence speed and poor path quality of the traditional Rapidly-exploring Random Tree Star (RRT*) algorithm in complex environments, this paper proposes a Multi Strategy Bidirectional RRT* (MS-BI-RRT*) algorithm for efficient mobile robot path planning. …”
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1694
The Local Path Planning Algorithm for Amphibious Robots Based on an Improved Dynamic Window Approach
Published 2025-02-01“…The speed resolution adaptive adjustment algorithm improves the ability to pass through a complex multiple-obstacle area, and the dynamic obstacle prediction algorithm optimizes obstacle avoidance paths. …”
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1695
DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network
Published 2025-03-01“…Thirdly, the localization loss utilizes SIoU loss to further optimize the accuracy of the bounding box. Our method achieves a mAP value of 46.0% on the MS-COCO dataset, which is a 2% mAP improvement compared to the baseline YOLOv5-m, while bringing a 19.3% reduction in parameter count and a 12.9% decrease in GFLOPs. …”
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1696
A hybrid evolution strategies algorithm for non-permutation flow shop scheduling problems
Published 2025-04-01“…The Quad swap mutation operator is employed in the IES to optimize the utilization of the solution space while minimizing computational time. …”
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1697
Hybrid algorithms for geospatial analysis of dam location points in protective tasks for protected areas
Published 2021-07-01“…This paper presents the way of optimizing the process of locating key terrain points by developing a hybrid algorithm for geospatial analysis in QGIS. …”
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1698
Evaluation of Traditional and Data-Driven Algorithms for Energy Disaggregation Under Sampling and Filtering Conditions
Published 2025-06-01“…The selection of the optimal NILM algorithm for real-world applications must consider a balance between desired accuracy, load types, electrical signal characteristics, and crucially, the limitations of available computational resources.…”
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1699
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1700
USD-YOLO: An Enhanced YOLO Algorithm for Small Object Detection in Unmanned Systems Perception
Published 2025-03-01“…Second, we introduced the Spatial and Channel Reconstruction Convolution module to reduce redundancy in spatial and channel features while extracting key features of small objects. Additionally, we designed a novel C2f-Global Attention Mechanism module to expand the receptive field and capture more contextual information, optimizing the detection head’s ability to handle small and low-resolution objects. …”
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