Research on Web GUI Image Recognition System Based on Improved Convolutional Neural Network
DOI:
https://doi.org/10.13052/jwe1540-9589.21515Keywords:
Improved convolutional neural network, Web GUI image recognition, l2 regularization, improved particle swarm optimizationAbstract
In this paper, a MobileNet V2 convolutional neural network depending on L2 regularization method, a amended particle swarm model and Dropout method are constructed in a bid for enhancing the accuracy and speed of Web GUI image recognition for establishing Web Web GUI image recognition system of Web GUI test. Firstly, an improved MobileNet V2 convolutional neural network is constructed. Secondly, the basic models of L2 regularization method, improved particle swarm method and Dropout method are studied, the improved MobileNet V2 convolution neural network optimization algorithm is proposed, and the basic model of image processing is designed. Finally, simulation analysis is carried out on Web GUI image recognition through using the amended convolutional neural network on basis of MINIST data set as the research object. The simulation results illustrate that the amended convolutional neural network proposed in this study is more accurate and efficient in Web GUI image recognition.
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Sehyung Lee, Hideaki Kume, Hidetoshi Urakubo, Haruo Kasai, Shin Ishii, Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks, Neural Networks, 152, 2022, 57–69.
Yan Chen, Zimei Cao, Jiejian Zhang, Yuanqing Liu, Duli Yu, Xiaoliang Guo, Wearable ultraviolet sensor based on convolutional neural network image processing method, Sensors and Actuators A: Physical, 338, 2022, 113402.
Tahereh Hassanzadeh, Daryl Essam, Ruhul Sarker, EvoDCNN: An evolutionary deep convolutional neural network for image classification, Neurocomputing, 488, 2022, 271–283.
Hao Tang, Chao Xu, Xu Han, Electrical resistance tomography image reconstruction based on one-dimensional multi-branch convolutional neural network combined with attention mechanism, Flow Measurement and Instrumentation, 84, 2022, 102140.
S. Niyas, S.J. Pawan, M. Anana Kumar, Jeny Rajan, Medical image segmentation with 3D convolutional neural networks: A survey, Neurocomputing, 493, 2022, 397–413.
Feng Hu, Mengran Zhou, Pengcheng Yan, Zhe Liang, Mei Li, A Bayesian optimal convolutional neural network approach for classification of coal and gangue with multispectral imaging, Optics and Lasers in Engineering, 156, 2022, 107081.
Wei-Chih Huang, Mads Svanborg Peters, Mads Juul Ahlebæk, Mads Toudal Frandsen, René Lynge Eriksen, Bjarke Jørgensen, The application of convolutional neural networks for tomographic reconstruction of hyperspectral images, Displays, 74, 2022, 102218.
Ivan Castillo Camacho, Kai Wang, Convolutional neural network initialization approaches for image manipulation detection, Digital Signal Processing, 122, 2022, 103376.
R. Suresh Kumar, B. Nagaraj, P. Manimegalai, P. Ajay, Dual feature extraction based convolutional neural network classifier for magnetic resonance imaging tumor detection using U-Net and three-dimensional convolutional neural network, Computers and Electrical Engineering, 101, 2022, 108010.
Mohammed Ahmed Jaddoa, Luciano Gonzalez, Holly Cuthbertson, Adel Al-Jumailyd, Maryam Imani, Low frequency and radar’s physical based features for improvement of convolutional neural networks for PolSAR image classification, The Egyptian Journal of Remote Sensing and Space Science, 25(1), 2022, 55–62.
Yoji Kawano, Ko Shimamoto, Early signaling network in rice PRR-mediated and R-mediated immunity, Current Opinion in Plant Biology, 16(4), 2013, 496–504.
Nobukuni Hamamotoa, Shigetoshi Yokoyama, Atsuko Takefus, Kento Aid, Implemention of Secured Log Analysis Environment for Moodle using Virtual Cloud Provider Service, Procedia Computer Science, 192, 2021, 3154–3164.
Umberto Di Giacomo, Rosangela Casolare, Oliver Eigner, Fabio Martinelli, Francesco Mercaldo, Torsten Priebe, Antonella Santone, Exploiting Supervised Machine Learning for Driver Detection in a Real-World Environment, Procedia Computer Science, 192, 2021, 2440–2449.
Yao-juan Chu, Meng-li Wang, Xiao-bao Wang, Xiang-yu Zhang, Li-wei Liu, Ying-ying Shi, Li-hua Zuo, Shu-zhang Du, Jian Kang, Bing Li, Wen-bo Cheng, Zhi Sun, Xiao-jian Zhang, Identifying quality markers of Mailuoshutong pill against thromboangiitis obliterans based on chinmedomics strategy, Phytomedicine, 2022, 154313, In Press.
Shiyu Song, Mengyan Ge, Wei Wang, Chenrui Gu, Kun Chen, Qingzhu Zhang, Qibin Yu, Guifeng Liu, Jing Jiang, BpEIN3.1 represses leaf senescence by inhibiting synthesis of ethylene and abscisic acid in Betula platyphylla, Plant Science, 321, 2022, 111330.
Maryam Barati Moghaddam, Mehdi Mazaheri, Jamal Mohammad Vali Samani, Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review, Groundwater for Sustainable Development, 15, 2021, 100651.
Bin Zhao, Hao Chen, Diankui Gao, Lizhi Xu, Risk assessment of refinery unit maintenance based on fuzzy second generation curvelet neural network, Alexandria Engineering Journal, 59, (3), 2020, 1823–1831.
Shivani Gaba, Ishan Budhiraja, Vimal Kumar, Sahil Garg, Georges Kaddoum, Mohammad Mehedi Hassan, A federated calibration scheme for convolutional neural networks: Models, applications and challenges, Computer Communications, 192, 2022, 144–162.
Fei Lu, Yongchao Liang, Xingying Wang, Tinghong Gao, Qian Chen, Yunchun Liu, Yu Zhou, Yongkai Yuan, Yutao Liu, Prediction of amorphous forming ability based on artificial neural network and convolutional neural network, Computational Materials Science, 210, 2022, 111464.
Yang Liu, Yaolun Song, Yan Zhang, Zhifang Liao, WT-2DCNN: A convolutional neural network traffic flow prediction model based on wavelet reconstruction, Physica A: Statistical Mechanics and its Applications, 2022, 127817, In Press.
Bin Zhao, Yi Ren, Diankui Gao, Lizhi Xu, Performance ratio prediction of photovoltaic pumping system based on grey clustering and second curvelet neural network, Energy, 171, 2019, 360–371.
Huanhuan Lv, Zhuolu Wang, Hui Zhang, Edge protection filtering and convolutional neural network for hyperspectral remote sensing image classification, Infrared Physics & Technology, 122, 2022, 104039.
Chaoqing Wang, Weijun Gong, Junlong Cheng, Yurong Qian, DBLCNN: Dependency-based lightweight convolutional neural network for multi-classification of breast histopathology images, Biomedical Signal Processing and Control, 73, 2022, 103451.
Bin Zhao, Yi, Ren, Diankui Gao, Lizhi Xu, Yuanyuan Zhang, Energy utilization efficiency evaluation model of refining unit Based on Contourlet neural network optimized by improved grey optimization algorithm, Energy, 185, 2019, 1032–1044.
Shijiao Gao, Haiou Guan, Xiaodan Ma, A recognition method of multispectral images of soybean canopies based on neural network, Ecological Informatics, 68, 2022, 101538.
Ming-Chuan Chiu, Yen-Ling Tu, Meng-Chun Kao, Applying deep learning image recognition technology to promote environmentally sustainable behavior, Sustainable Production and Consumption, 31, 2022, 736–749
Vishesh Kumar Tanwar, Balasubramanian Raman, Amitesh Singh Rajput, Rama Bhargav, SecureDL: A privacy preserving deep learning model for image recognition over cloud, Journal of Visual Communication and Image Representation, 86, 2022, 103503.
Bin Zhao, Shasha Li, Diankui Gao, Lizhi Xu, Yuanyuan Zhang, Research on intelligent prediction of hydrogen pipeline leakage fire based on Finite Ridgelet neural network, International Journal of Hydrogen Energy, 47(55), 2022, 23316–23323.
Lili Yang, Zhichao Li, Shilan Ma, Xinghua Yang, Artificial intelligence image recognition based on 5G deep learning edge algorithm of Digestive endoscopy on medical construction, Alexandria Engineering Journal, 61(3), 2022, 1852–1863.
Weigang Wang, Jie Qin, Yunwei Zhang, Dashan Deng, Shujuan Yu, Yun Zhang, Yuanjian Liu, TNNL: A novel image dimensionality reduction method for face image recognition, Digital Signal Processing, 115, 2021, 103082.
Jie Hu, Zhenyu Ren, Jiacheng He, Yang Wang, Yanping Wu, Peixiang He, Design of an intelligent vibration screening system for armyworm pupae based on image recognition, Computers and Electronics in Agriculture, 187, 2021, 106189.
Charles Rajesh Kumar, J. Ahmed Almasarani, M.A. Majid, 5G-Wireless Sensor Networks for Smart Grid-Accelerating technology’s progress and innovation in the Kingdom of Saudi Arabia, Procedia Computer Science, 182, 2021, 46–55.
Akshay Pandey, Kamal Jain, An intelligent system for crop identification and classification from UAV images using conjugated dense convolutional neural network, Computers and Electronics in Agriculture, 192, 2022, 106543.
Zheng-fang Wang, Yan-fei Yu, Jing Wang, Jian-qing Zhang, Hong-liang Zhu, Peng Li, Lei Xu, Hao-nan Jiang, Qing-mei Sui, Lei Jia, Jiang-ping Chen, Convolutional neural-network-based automatic dam-surface seepage defect identification from thermograms collected from UAV-mounted thermal imaging camera, Construction and Building Materials, 323, 2022, 126416.
Hamid Sadeghi, Abolghasem-A. Raie, HistNet: His togram-based convolutional neural network with Chi-squared deep metric learning for facial expression recognition, Information Sciences, 608, 2022, 472–488
Orlando Grabiel Toledano-López, Julio Mader, Hector González, Alfredo Simón-Cuevas, A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization, Pattern Recognition Letters, 160, 2022, 105–111.
Sergio Barrachina, Manuel F. Dolz, Pablo San Juan, Enrique S. Quintana-Ortí, Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors, Journal of Parallel and Distributed Computing, 167, 2022, 240–254.
