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1دورية أكاديمية
المؤلفون: Qianwen Zhang, Zhan Xu, Peiyue Zhang
المصدر: The Journal of Engineering (2019)
مصطلحات موضوعية: computer vision, fourier transforms, neural nets, learning (artificial intelligence), image recognition, image classification, feature extraction, modulation scheme recognition, recognition methods, authors, signal-to-noise ratios, optimisation functions, activation function, automatic recognition, image recognition problem, complex modulation recognition problem, different complex signal spectrograms, image dataset, powerful image feature extraction ability, cnn-based modulation recognition model, computer vision problems, extremely powerful machine-learning tool, convolutional neural network, Engineering (General). Civil engineering (General), TA1-2040
وصف الملف: electronic resource
العلاقة: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9188Test; https://doaj.org/toc/2051-3305Test
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2صورة
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments الإتاحة: https://doi.org/10.1371/journal.pone.0289179.g001Test
https://figshare.com/articles/figure/CFM-YOLOv5_overall_structure_diagram_/24767213Test -
3
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments الإتاحة: https://doi.org/10.1371/journal.pone.0289179.t002Test
https://figshare.com/articles/dataset/Performance_of_CFM-YOLOv5_model_/24767234Test -
4
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments الإتاحة: https://doi.org/10.1371/journal.pone.0289179.t005Test
https://figshare.com/articles/dataset/Different_network_models_for_metal_surface_defect_detection_performance_/24767243Test -
5صورة
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments الإتاحة: https://doi.org/10.1371/journal.pone.0289179.g002Test
https://figshare.com/articles/figure/EVC_module_structure_diagram_/24767216Test -
6صورة
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments الإتاحة: https://doi.org/10.1371/journal.pone.0289179.g003Test
https://figshare.com/articles/figure/Six_types_of_metal_surface_defects_/24767219Test -
7صورة
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments العلاقة: https://figshare.com/articles/figure/The_mosica_data_enhancement_schematic_diagram_/24767222Test
الإتاحة: https://doi.org/10.1371/journal.pone.0289179.g004Test
https://figshare.com/articles/figure/The_mosica_data_enhancement_schematic_diagram_/24767222Test -
8صورة
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments الإتاحة: https://doi.org/10.1371/journal.pone.0289179.g005Test
https://figshare.com/articles/figure/The_positioning_loss_confidence_loss_and_classification_loss_data_obtained_from_the_experimental_training_results_/24767225Test -
9صورة
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments الإتاحة: https://doi.org/10.1371/journal.pone.0289179.g006Test
https://figshare.com/articles/figure/The_prediction_results_of_deep_learning_algorithm_for_defect_data_sets_/24767228Test -
10
المؤلفون: Yuntao Xu, Peigang Jiao, Jiaqi LIU
مصطلحات موضوعية: Science Policy, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified,
+aiming%22">xlink "> aiming, standard transformer encoder, metal surface defects, feature extraction ability, experimental results show, greatly improved map, feature enhancement part, improved yolov5 algorithm, improved algorithm, prediction part, reference significance, negative impact, low efficiency, head self, evc module, data set, cfpnet moudle, attention module, analogy experiments, accurately identify, ablation experiments الإتاحة: https://doi.org/10.1371/journal.pone.0289179.t001Test
https://figshare.com/articles/dataset/Comparison_of_different_data_enhancement_experiments_/24767231Test