Showing 101 - 120 results of 3,290 for search 'reduced detection function', query time: 0.18s Refine Results
  1. 101

    Enhancing Cloud Detection in Polar Regions Using Combined Spectral and Textural Features for Landsat 8/9 OLI Imagery by Xinran Shen, Teng Li, Chong Liu, Shaoyin Wang, Lei Zheng, Qi Liang, Xiao Cheng, Jiaqi Yao

    Published 2025-01-01
    “…Initially, the algorithm employs function of mask (Fmask) for preliminary cloud detection, followed by a block processing strategy that integrates the gray-level co-occurrence matrix to extract local texture features for secondary discrimination, helping to eliminate snow misidentified as clouds. …”
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  2. 102

    YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

    Published 2025-08-01
    “…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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  3. 103

    Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

    Published 2025-03-01
    “…These challenges lead to reduced accuracy and efficiency in pipeline anomaly detection. …”
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    Article
  4. 104

    Resveratrol reduces radiation-induced liver damage and fibrosis, and may be related to inhibiting cellular aging and reducing inflammation by Songhui Zhai, He Xu, Jianxin Xue, Lu Gan, Fang Gao, Lijuan Hu

    Published 2025-06-01
    “…RSV alleviated liver fibrosis and liver function in RILD mice. Conclusions RSV reduces RILD and fibrosis, and may be related to inhibiting cellular aging and reducing inflammation.…”
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  5. 105

    YOLOv8n-Al-Dehazing: A Robust Multi-Functional Operation Terminals Detection for Large Crane in Metallurgical Complex Dust Environment by Yifeng Pan, Yonghong Long, Xin Li, Yejing Cai

    Published 2025-03-01
    “…To address these issues, we propose the YOLOv8n-Al-Dehazing method, which achieves the precise detection of multi-functional material handling terminals in aluminum electrolysis workshops. …”
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  6. 106

    Fullerene (C20) as a potential sensor for thermal and electrochemical detection of amitriptyline: A DFT study by Mohammad Reza Jalali Sarvestani, Zohreh Doroudi

    Published 2020-07-01
    “…The negative values of adsorption enthalpy changes and the increase of specific heat capacity in the adsorption process revealed the interaction of amitriptyline with fullerene is exothermic and this nanostructure is an admissible sensing material for thermal detection of amitriptyline. The density of states (DOS) plots showed the bandgap of fullerene reduced from -32.13% from 7.145 (eV) to 4.849 (eV) when amitriptyline adsorbed on its surface. …”
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  7. 107

    Small object detection in complex open-pit mine backgrounds based on improved YOLOv11 by ZHU Yongjun, CAI Guangqi, HAN Jin, MIAO Yanzi, MA Xiaoping, JIAO Wenhua

    Published 2025-04-01
    “…Small object detection in open-pit mines faces challenges such as wide viewing angles and long detection distances, which result in small target imaging. …”
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  8. 108

    ABDviaMSIFAT: Abnormal Crowd Behavior Detection Utilizing a Multi-Source Information Fusion Technique by Ali Ahmad Hamid, S. Amirhassan Monadjemi, Bijan Shoushtarian

    Published 2025-01-01
    “…These scores are later modified for the individual level of the group, allowing for behavior recognition through the assessment of fuzzy logic functions. In the first pipeline, we utilize a depth-wise Separable Convolutional Neural Network (DWS-CNN) that provides reduced filtering compared to standard CNNs. …”
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  9. 109

    Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach by Farzad V. Farahani, Lukman E. Ismaila, Cristina L. Sadowsky, Haris I. Sair, Li Min Chen, Visar Belegu, James J. Pekar, Martin A. Lindquist, Ann S. Choe

    Published 2024-11-01
    “…Cortical reorganization, in particular, can be evaluated through network (graph) analysis of interregional functional connectivity. This study aimed to investigate cortical reorganization patterns in persons with chronic SCI using a multilayer community detection approach on resting-state functional MRI data. …”
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  10. 110

    PCES-YOLO: High-Precision PCB Detection via Pre-Convolution Receptive Field Enhancement and Geometry-Perception Feature Fusion by Heqi Yang, Junming Dong, Cancan Wang, Zhida Lian, Hui Chang

    Published 2025-07-01
    “…When compared to YOLOv11s, it increases mAP50 by 1.0% and mAP50–95 by 5.6% while also significantly reducing the model parameters. The performance of PCES-YOLO is also evaluated against mainstream object detection algorithms, including Faster R-CNN, SSD, YOLOv8n, etc. …”
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  11. 111

    SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

    Published 2025-01-01
    “…By incorporating a multi-scale feature extraction pyramid (SDFP), occlusion-aware attention mechanism (SEAM), an edge and spatial information fusion module (ES3), and a WIoU-Shape loss function, the SDES-YOLO model significantly enhances fall detection performance in complex scenarios. …”
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  12. 112
  13. 113

    Multi-Scale Fusion Lightweight Target Detection Method for Coal and Gangue Based on EMBS-YOLOv8s by Lin Gao, Pengwei Yu, Hongjuan Dong, Wenjie Wang

    Published 2025-03-01
    “…This structure can fully utilize the features of different scales, improve the model’s detection accuracy, and reduce its complexity. Finally, the CIoU loss function is replaced by the Wise-SIoU loss function at the prediction end. …”
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  14. 114
  15. 115

    Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

    Published 2025-06-01
    “…Finally, WIoUv3 is used as the loss function of the model. By dynamically distributing gradient gain, Focus on ordinary anchor frame quality, In the process of model training, the harmful gradient generated by low quality anchor frame is reduced. …”
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  16. 116

    Marine fish species recognition based on improved YOLOv5s by ZHANG Haifeng, LU Xinchun, FENG Bo, YANG Jin

    Published 2024-08-01
    “…Improved some C3 modules of the backbone network, and integrated CA coordination attention mechanism into the C3 module, which improved the recognition accuracy and detection speed of the model while reducing the number of model parameters. …”
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  17. 117

    QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

    Published 2025-02-01
    “…Results include spatiotemporal templates of QPPs, sliding correlation time courses, and functional connectivity maps. By reducing manual parameter adjustments and providing user-friendly tools, QPPLab enables researchers to efficiently study QPPs across diverse datasets and species, advancing our understanding of intrinsic brain dynamics.…”
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  18. 118

    Peptide nucleic acid (PNA) clamps reduce amplification of host chloroplast and mitochondria rRNA gene sequences and increase detected diversity in 16S rRNA gene profiling analysis... by Usman Hussain, Jim Downie, Amy Ellison, Sandra Denman, James McDonald, Marine C. Cambon

    Published 2025-01-01
    “…Conclusion In conclusion, this study shows that PNA clamps can effectively reduce host chloroplast and mitochondria PCR amplification and improve assessment of the detected bacterial diversity in Quercus petraea and Quercus robur bacterial 16S rRNA gene sequencing studies.…”
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