Showing 781 - 800 results of 2,333 for search 'blocking detection', query time: 0.11s Refine Results
  1. 781

    OPTIMIZATIONS OF DEEP LEARNING OBJECTS DETECTION MODELS FOR INFERENCE ACCELERATION ON GENERAL-PURPOSE AND HARDWARE-ACCELERATED SINGLE-BOARD PLATFORMS by Dmytro Myroniuk, Bohdan Blahitko

    Published 2025-03-01
    “…Description and preparation of modern approaches for deep learning object detection models are provided. Deep learning frameworks for model training and inference, such as TensorFlow and TensorFlow Lite, are used as bases. …”
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    Article
  2. 782

    Real-Time Polarimetric Imaging and Enhanced Deep Learning Model for Automated Defect Detection of Specular Additive Manufacturing Surfaces by Dingkang Li, Xing Peng, Hongbing Cao, Yuanpeng Xie, Shiqing Li, Xiang Sun, Xinjie Zhao

    Published 2025-03-01
    “…To address these limitations, this study proposes the YOLOv5-CAD defect detection model. Firstly, the convolutional block attention module (CBAM) is introduced into the core feature extraction module C3 of the backbone network to enhance attention to critical information and improve multi-scale defect target adaptability. …”
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  3. 783

    Flooded Infrastructure Change Detection in Deeply Supervised Networks Based on Multi-Attention-Constrained Multi-Scale Feature Fusion by Gang Qin, Shixin Wang, Futao Wang, Suju Li, Zhenqing Wang, Jinfeng Zhu, Ming Liu, Changjun Gu, Qing Zhao

    Published 2024-11-01
    “…On the one hand, land cover data are not updated in time, resulting in the misjudgment of disaster losses; on the other hand, since buildings block floods, the above methods cannot detect flooded buildings. …”
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    Article
  4. 784

    A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases by Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim

    Published 2025-01-01
    “…An early detection of tomato leaf diseases is crucial for ensuring high-quality and abundant crop production. …”
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  5. 785

    Multisensor Data Fusion for Coastal Boundary Detection by Res-U-Net Implementation Using High-Resolution UAV Imagery by Qin Wang, Nyasha J. Kavhiza, Fakhrul Islam, Ilyas Ahmad Huqqani, Mohsin Abbas, Sanjoy Barman

    Published 2025-01-01
    “…Large-scale geospatial analytics and real-time coastal change detection can both benefit from the framework’s extension to multitemporal and multisensor data.…”
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  6. 786
  7. 787

    Automatic Detection of Occluded Main Coronary Arteries of NSTEMI Patients with MI-MS ConvMixer + WSSE Without CAG by Mehmet Cagri Goktekin, Evrim Gul, Tolga Çakmak, Fatih Demir, Mehmet Ali Kobat, Yaman Akbulut, Ömer Işık, Zehra Kadiroğlu, Kürşat Demir, Abdulkadir Şengür

    Published 2025-02-01
    “…In this study, a novel deep learning-based approach is used to automatically detect the occluded main coronary artery or arteries in NSTEMI patients. …”
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  8. 788

    Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images by Veysel Yusuf Cambay, Prabal Datta Barua, Abdul Hafeez Baig, Sengul Dogan, Mehmet Baygin, Turker Tuncer, U. R. Acharya

    Published 2024-12-01
    “…This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect various gastrointestinal diseases using a new ResNet50*-based deep feature engineering model with endoscopy images. …”
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  9. 789

    URT-YOLOv11: A Large Receptive Field Algorithm for Detecting Tomato Ripening Under Different Field Conditions by Di Mu, Yuping Guou, Wei Wang, Ran Peng, Chunjie Guo, Francesco Marinello, Yingjie Xie, Qiang Huang

    Published 2025-05-01
    “…Finally, the TADDH module optimizes the detection head by balancing classification and regression tasks through task alignment strategies, further improving detection accuracy across different target scales. …”
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  10. 790

    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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  11. 791
  12. 792

    Development of cardiac conduction disorders in a patient receiving basic therapy for systemic collagenoses: а case report by A. V. Bykov, Al. V. Bykov, O. V. Efimenko, A. V. Vinnikov

    Published 2025-05-01
    “…A 70-year-old female patient was observed by an arrhythmologist for 9 months with second-degree type II AV block with transient third-degree AV block according to 24-hour electrocardiographic monitoring. …”
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  13. 793

    Prediction of Strength and Quality Control of Monolithic Concrete Laying in Structures with Permanent Formwork by D. N. Korotkih, D. Е. Kapustin

    Published 2024-12-01
    “…When erecting a number of nuclear power plant structures, a precast-monolithic construction technology is used using reinforced formwork blocks consisting of a reinforcing frame and permanent formwork made of steel fiber concrete. …”
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  14. 794
  15. 795

    Anesthetic efficacy in vital asymptomatic teeth using different local anesthetics: a systematic review with network meta-analysis by Amy Kia Cheen Liew, Yi-Chun Yeh, Dalia Abdullah, Yu-Kang Tu

    Published 2021-08-01
    “…The SUCRA ranking was highest for articaine 4% with epinephrine when used as maxillary and mandibular buccal infiltrations, and lidocaine 2% with epinephrine 1:80,000 when used as inferior alveolar nerve block. Inconsistency and imprecision were detected in some of the NMA estimates.ConclusionsArticaine 4% with epinephrine is superior when maxillary or mandibular infiltration is required in vital asymptomatic teeth.…”
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  16. 796

    EC-SBM synthetic network generator by The-Anh Vu-Le, Lahari Anne, George Chacko, Tandy Warnow

    Published 2025-05-01
    “…Abstract Generating high-quality synthetic networks with realistic community structure is vital to effectively evaluate community detection algorithms. In this study, we propose a new synthetic network generator called the Edge-Connected Stochastic Block Model (EC-SBM). …”
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  17. 797

    Lightweight Object Detector Based on Images Captured Using Unmanned Aerial Vehicle by Dike Chen, Jiacheng Sui, Ji Zhang, Hongyuan Wang

    Published 2025-07-01
    “…First, the Bottlenet in C2f is replaced by the FasterNet Block to achieve an overall lightweighting effect; second, in order to reduce the problem of model accuracy degradation due to excessive lightweighting, this study introduces the self-weight coordinate attention (SWCA) in the C2f-Faster module connected to each detect head. …”
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  18. 798

    CBGS-YOLO: A Lightweight Network for Detecting Small Targets in Remote Sensing Images Based on a Double Attention Mechanism by Zhenyuan Wu, Di Wu, Ning Li, Wanru Chen, Jie Yuan, Xiangyue Yu, Yongqiang Guo

    Published 2024-12-01
    “…Hence, in this paper, we propose a lightweight remote-sensing image target detection network model, CBGS-YOLO, created by introducing the Ghost module to decrease the model parameters, applying the SPD-Conv module to optimize downsampling, and integrating the convolutional block attention module to enhance detection accuracy. …”
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  19. 799

    Application of Multiple Detection Data in the Analysis of Snowstorm Processes in Xinjiang during the Central Asia Extreme Precipitation Observation Test (CAEPOT) by Yong Zeng, Lianmei Yang, Zepeng Tong, Zuyi Zhang

    Published 2020-01-01
    “…This paper uses multiple fine detection datasets obtained from the CAEPOT, including radar wind profiler, ground-based microwave radiometer, and millimeter-wave cloud radar to analyze macroscopic characteristics and microphysical changes of snowstorm system in Xinjiang. …”
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  20. 800