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661
Advancing Rice Disease Detection in Farmland with an Enhanced YOLOv11 Algorithm
Published 2025-05-01“…Experiments on a rice disease dataset extracted from agricultural operation videos demonstrate that, compared to YOLOv11n, the algorithm improves mAP50 and mAP50-95 by 2.7% and 11.5%, respectively, while reducing the model parameters by 4.58 M and the computational load by 1.1 G. …”
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662
Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil
Published 2025-07-01“…This work analyzes the application of machine learning algorithms in the selection of portfolios in the Brazilian market. …”
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663
Forest Fire Detection Algorithm Based on Improved YOLOv11n
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664
MLP-UNet: an algorithm for segmenting lesions in breast and thyroid ultrasound images
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665
Research on Traffic Marking Segmentation Detection Algorithm Based on Feature Fusion
Published 2024-10-01“…In order to make the target detection task applicable to irregular objects or to detection tasks with higher accuracy requirements while reducing the waste of computational resources, this paper improves the accuracy of traffic marking segmentation detection by designing a multi-type traffic marking segmentation detection model based on image segmentation algorithms and designing a segmentation guidance matrix module based on a rank guidance matrix computation method. …”
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666
Image Matching Algorithm for Transmission Towers Based on CLAHE and Improved RANSAC
Published 2025-05-01“…Experimental results demonstrate that the proposed method exceeds the original AKAZE algorithm’s matching accuracy by 4∼15% on different image sets while achieving faster matching speeds. …”
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667
Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm
Published 2024-01-01“…In this paper, we address challenges in steel surface defect inspection, such as missed detections and false detections, by proposing the GCHS-YOLO detection algorithm. Built on YOLOv8s, our approach replaces the traditional Feature Pyramid Network (FPN) in the NECK section with a multi-scale fusion network (GFPN). …”
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668
Image Inpainting Algorithm Based on Structure-Guided Generative Adversarial Network
Published 2025-07-01“…The proposed methodology advances a two-stage restoration paradigm: (1) Structural Prior Extraction, where adaptive edge detection algorithms identify residual contours in corrupted regions, and a transformer-enhanced network reconstructs globally consistent structural maps through contextual feature propagation; (2) Structure-Constrained Texture Synthesis, wherein a multi-scale generator with hybrid dilated convolutions and channel attention mechanisms iteratively refines high-fidelity textures under explicit structural guidance. …”
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669
Novel nonlinear wind power prediction based on improved iterative algorithm
Published 2025-12-01“…To effectively improve the accuracy of wind power prediction and reduce the load on the power grid, a new nonlinear wind power prediction model based on an improved iterative learning algorithm was investigated. Firstly, the actual wind conditions are equated to a non-linear model. …”
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670
Optimization Algorithms for Cable Fault Localization and Assessment in Smart Power Systems
Published 2025-01-01“…In view of the above problems, this paper proposes an optimization algorithm based on the frequency domain-space domain integral transform to enhance the cable fault location capability and assess the fault type and severity. …”
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671
A deep learning-based algorithm for the detection of personal protective equipment.
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672
A highly generalized federated learning algorithm for brain tumor segmentation
Published 2025-07-01“…Empirical experiments validate the proposed algorithm, showing a 2.2% improvement in the Dice Similarity Coefficient (DSC) for brain tumor segmentation over the baseline federated learning algorithm, with a marginal 3% reduction in performance compared to centralized training, highlighting its practical applicability.…”
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673
Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization
Published 2025-03-01“…An integrated channeled algorithm processes the refined features by uniting local-global features with primitive-parameterized features and regioned feature vectors. …”
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674
Solving lattice gauge theories using the quantum Krylov algorithm and qubitization
Published 2025-03-01“…Computing vacuum states of lattice gauge theories (LGTs) containing fermionic degrees of freedom can present significant challenges for classical computation using Monte-Carlo methods. Quantum algorithms may offer a pathway towards more scalable computation of groundstate properties of LGTs. …”
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675
Sara Detection on Social Media Using Deep Learning Algorithm Development
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676
Evolutionary algorithms for predicting aboveground carbon stocks in mopane woodlands in Mozambique
Published 2025-12-01“…We applied machine learning techniques to predict stand-level AGC in Mopane woodlands across Mabalane and Chicualacuala districts, Gaza Province. Two evolutionary algorithms were tested: (1) a hybrid Genetic Algorithm and Random Forest (GARF), and (2) Genetic Programming (GP) using symbolic regression. …”
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677
Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm
Published 2024-11-01“…This study aims to optimize the length partitioning of modular MEP systems in building construction using a genetic algorithm, addressing challenges such as avoiding fittings (e.g., tees and crosses) and achieving standardized module lengths. …”
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678
Adaptive Lossy Color Image Compression System Based on Hybrid Algorithm
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679
Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data
Published 2024-12-01“…The first step and the goal of this research is to analyze the capabilities of the clustering algorithms in order to determine more promising ones and techniques able to minimize computing resources while solving the task. …”
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680
Key frame extraction algorithm for surveillance videos using an evolutionary approach
Published 2025-01-01“…Existing methods include the Adaptive Key Frame Extraction Algorithm, which reduces redundancy while ensuring maximum content coverage; the Optimal Key Frame Extraction Algorithm, which utilizes a Genetic Algorithm (GA) to select key frames optimally; and the Rapid Key Frame Extraction Algorithm, which employs clustering techniques to identify typical key frames. …”
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