Статті в журналах з теми "Convolutional model"
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Sarada, N., and K. Thirupathi Rao. "A Neural Network Architecture Using Separable Neural Networks for the Identification of “Pneumonia” in Digital Chest Radiographs." International Journal of e-Collaboration 17, no. 1 (January 2021): 89–100. http://dx.doi.org/10.4018/ijec.2021010106.
Повний текст джерелаDang, Lanxue, Peidong Pang, Xianyu Zuo, Yang Liu, and Jay Lee. "A Dual-Path Small Convolution Network for Hyperspectral Image Classification." Remote Sensing 13, no. 17 (August 27, 2021): 3411. http://dx.doi.org/10.3390/rs13173411.
Повний текст джерелаXu, Hongyan, Xiu Su, Yi Wang, Huaiyu Cai, Kerang Cui, and Xiaodong Chen. "Automatic Bridge Crack Detection Using a Convolutional Neural Network." Applied Sciences 9, no. 14 (July 18, 2019): 2867. http://dx.doi.org/10.3390/app9142867.
Повний текст джерелаYan, Jing, Tingliang Liu, Xinyu Ye, Qianzhen Jing, and Yuannan Dai. "Rotating machinery fault diagnosis based on a novel lightweight convolutional neural network." PLOS ONE 16, no. 8 (August 26, 2021): e0256287. http://dx.doi.org/10.1371/journal.pone.0256287.
Повний текст джерелаWang, Wei, Yiyang Hu, Ting Zou, Hongmei Liu, Jin Wang, and Xin Wang. "A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers." Computational Intelligence and Neuroscience 2020 (August 1, 2020): 1–10. http://dx.doi.org/10.1155/2020/8817849.
Повний текст джерелаMa, Tian, Xinlei Zhou, Jiayi Yang, Boyang Meng, Jiali Qian, Jiehui Zhang, and Gang Ge. "Dental Lesion Segmentation Using an Improved ICNet Network with Attention." Micromachines 13, no. 11 (November 7, 2022): 1920. http://dx.doi.org/10.3390/mi13111920.
Повний текст джерелаLeong, Mei Chee, Dilip K. Prasad, Yong Tsui Lee, and Feng Lin. "Semi-CNN Architecture for Effective Spatio-Temporal Learning in Action Recognition." Applied Sciences 10, no. 2 (January 12, 2020): 557. http://dx.doi.org/10.3390/app10020557.
Повний текст джерелаLiu, Zhizhe, Luo Sun, and Qian Zhang. "High Similarity Image Recognition and Classification Algorithm Based on Convolutional Neural Network." Computational Intelligence and Neuroscience 2022 (April 12, 2022): 1–10. http://dx.doi.org/10.1155/2022/2836486.
Повний текст джерелаSong, Xiaona, Haichao Liu, Lijun Wang, Song Wang, Yunyu Cao, Donglai Xu, and Shenfeng Zhang. "A Semantic Segmentation Method for Road Environment Images Based on Hybrid Convolutional Auto-Encoder." Traitement du Signal 39, no. 4 (August 31, 2022): 1235–45. http://dx.doi.org/10.18280/ts.390416.
Повний текст джерелаPeng, Wenli, Shenglai Zhen, Xin Chen, Qianjing Xiong, and Benli Yu. "Study on convolutional recurrent neural networks for speech enhancement in fiber-optic microphones." Journal of Physics: Conference Series 2246, no. 1 (April 1, 2022): 012084. http://dx.doi.org/10.1088/1742-6596/2246/1/012084.
Повний текст джерелаZhou, Jianmin, Sen Gao, Jiahui Li, and Wenhao Xiong. "Bearing Life Prediction Method Based on Parallel Multichannel Recurrent Convolutional Neural Network." Shock and Vibration 2021 (October 13, 2021): 1–9. http://dx.doi.org/10.1155/2021/6142975.
Повний текст джерелаBongulwar, Deepali M., and S. N. Talbar. "Robust Convolutional Neural Network Model For Recognition of Fruits." Indian Journal of Science and Technology 14, no. 45 (December 5, 2021): 3318–34. http://dx.doi.org/10.17485/ijst/v14i45.1493.
Повний текст джерелаEt. al., Ms K. N. Rode,. "Unsupervised CNN model for Sclerosis Detection." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 10, 2021): 2577–83. http://dx.doi.org/10.17762/turcomat.v12i2.2223.
Повний текст джерелаHe, Ping, Yong Li, Shoulong Chen, Hoghua Xu, Lei Zhu, and Lingyan Wang. "Core looseness fault identification model based on Mel spectrogram-CNN." Journal of Physics: Conference Series 2137, no. 1 (December 1, 2021): 012060. http://dx.doi.org/10.1088/1742-6596/2137/1/012060.
Повний текст джерелаYang, Chao-Peng, Jian-Qing Zhu, Tan Yan, Qiu-Ling Su, and Li-Xin Zheng. "Auxiliary Pneumonia Classification Algorithm Based on Pruning Compression." Computational and Mathematical Methods in Medicine 2022 (July 18, 2022): 1–12. http://dx.doi.org/10.1155/2022/8415187.
Повний текст джерелаChen, Zhan, Sicheng Li, Bing Yang, Qinghan Li, and Hong Liu. "Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (May 18, 2021): 1113–22. http://dx.doi.org/10.1609/aaai.v35i2.16197.
Повний текст джерелаZaychenko, Yuriy, Maryam Naderan, and Galib Hamidov. "Hybrid convolution network for medical images processing and breast cancer detection." System research and information technologies, no. 2 (August 30, 2022): 85–93. http://dx.doi.org/10.20535/srit.2308-8893.2022.2.06.
Повний текст джерелаLan, Weichao, and Liang Lan. "Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 8235–42. http://dx.doi.org/10.1609/aaai.v35i9.17002.
Повний текст джерелаYe, Mengqi, and Lijun Zhang. "Empirical Analysis of Financial Depth and Width Based on Convolutional Neural Network." Computational Intelligence and Neuroscience 2021 (December 2, 2021): 1–10. http://dx.doi.org/10.1155/2021/8650059.
Повний текст джерелаXianhao Shen, Xianhao Shen, Changhong Zhu Xianhao Shen, Yihao Zang Changhong Zhu, and Shaohua Niu Yihao Zang. "A Method for Detecting Abnormal Data of Network Nodes Based on Convolutional Neural Network." 電腦學刊 33, no. 3 (June 2022): 049–58. http://dx.doi.org/10.53106/199115992022063303004.
Повний текст джерелаRobinson, Enders A. "Seismic time‐invariant convolutional model." GEOPHYSICS 50, no. 12 (December 1985): 2742–51. http://dx.doi.org/10.1190/1.1441894.
Повний текст джерелаChen, Lei, Le Wu, Richang Hong, Kun Zhang, and Meng Wang. "Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 27–34. http://dx.doi.org/10.1609/aaai.v34i01.5330.
Повний текст джерелаZan, Tao, Hui Wang, Min Wang, Zhihao Liu, and Xiangsheng Gao. "Application of Multi-Dimension Input Convolutional Neural Network in Fault Diagnosis of Rolling Bearings." Applied Sciences 9, no. 13 (July 1, 2019): 2690. http://dx.doi.org/10.3390/app9132690.
Повний текст джерелаDong, Hongwei, Lamei Zhang, and Bin Zou. "PolSAR Image Classification with Lightweight 3D Convolutional Networks." Remote Sensing 12, no. 3 (January 26, 2020): 396. http://dx.doi.org/10.3390/rs12030396.
Повний текст джерелаSon, Jeongtae, and Dongsup Kim. "Development of a graph convolutional neural network model for efficient prediction of protein-ligand binding affinities." PLOS ONE 16, no. 4 (April 8, 2021): e0249404. http://dx.doi.org/10.1371/journal.pone.0249404.
Повний текст джерелаHe, Qingfang, Guang Cheng, and Huimin Ju. "BCDnet: Parallel heterogeneous eight-class classification model of breast pathology." PLOS ONE 16, no. 7 (July 12, 2021): e0253764. http://dx.doi.org/10.1371/journal.pone.0253764.
Повний текст джерелаJiang, Haiyang, Yaozong Pan, Jian Zhang, and Haitao Yang. "Battlefield Target Aggregation Behavior Recognition Model Based on Multi-Scale Feature Fusion." Symmetry 11, no. 6 (June 5, 2019): 761. http://dx.doi.org/10.3390/sym11060761.
Повний текст джерелаYang, Yadong, Chengji Xu, Feng Dong, and Xiaofeng Wang. "A New Multi-Scale Convolutional Model Based on Multiple Attention for Image Classification." Applied Sciences 10, no. 1 (December 20, 2019): 101. http://dx.doi.org/10.3390/app10010101.
Повний текст джерелаZhao, Ping, Zhijie Fan*, Zhiwei Cao, and Xin Li. "Intrusion Detection Model Using Temporal Convolutional Network Blend Into Attention Mechanism." International Journal of Information Security and Privacy 16, no. 1 (January 2022): 1–20. http://dx.doi.org/10.4018/ijisp.290832.
Повний текст джерелаZhang, Lishan, Lei Han, Yuzhen Meng, and Wenkui Zhao. "Multi-input Convolutional Neural Network Fault Diagnosis Algorithm Based on the Hydraulic Pump." Journal of Physics: Conference Series 2095, no. 1 (November 1, 2021): 012069. http://dx.doi.org/10.1088/1742-6596/2095/1/012069.
Повний текст джерелаShen, Sheng, Honghui Yang, Xiaohui Yao, Junhao Li, Guanghui Xu, and Meiping Sheng. "Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms." Sensors 20, no. 1 (January 1, 2020): 253. http://dx.doi.org/10.3390/s20010253.
Повний текст джерелаLu, Peng, Yaqin Zhao, and Yuan Xu. "A Two-Stream CNN Model with Adaptive Adjustment of Receptive Field Dedicated to Flame Region Detection." Symmetry 13, no. 3 (February 28, 2021): 397. http://dx.doi.org/10.3390/sym13030397.
Повний текст джерелаAlessandro, Barducci. "Convolutional modelling of epidemics." Annals of Mathematics and Physics 5, no. 2 (December 3, 2022): 180–89. http://dx.doi.org/10.17352/amp.000063.
Повний текст джерелаLi, Ruixue, Bo Yin, Yanping Cong, and Zehua Du. "Simultaneous Prediction of Soil Properties Using Multi_CNN Model." Sensors 20, no. 21 (November 3, 2020): 6271. http://dx.doi.org/10.3390/s20216271.
Повний текст джерелаPeng, Haoliang, and Yue Wu. "A Dynamic Convolutional Network-Based Model for Knowledge Graph Completion." Information 13, no. 3 (March 4, 2022): 133. http://dx.doi.org/10.3390/info13030133.
Повний текст джерелаZhou, Fen, Xuping Tu, Qingdong Wang, and Guosong Jiang. "Improved GCN Framework for Human Motion Recognition." Scientific Programming 2022 (May 9, 2022): 1–10. http://dx.doi.org/10.1155/2022/2721618.
Повний текст джерелаZhang, Zhaohui, Xinxin Zhou, Xiaobo Zhang, Lizhi Wang, and Pengwei Wang. "A Model Based on Convolutional Neural Network for Online Transaction Fraud Detection." Security and Communication Networks 2018 (August 6, 2018): 1–9. http://dx.doi.org/10.1155/2018/5680264.
Повний текст джерелаGuo, Shengnan, Youfang Lin, Ning Feng, Chao Song, and Huaiyu Wan. "Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 922–29. http://dx.doi.org/10.1609/aaai.v33i01.3301922.
Повний текст джерелаDeng, Meng-Di, Rui-Sheng Jia, Hong-Mei Sun, and Xing-Li Zhang. "Super-resolution reconstruction of seismic section image via multi-scale convolution neural network." E3S Web of Conferences 303 (2021): 01058. http://dx.doi.org/10.1051/e3sconf/202130301058.
Повний текст джерелаWang, Yaping, Jinbao Wang, Sheng Zhang, Di Xu, and Jianghua Ge. "Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE–MACNN." Entropy 24, no. 7 (June 30, 2022): 905. http://dx.doi.org/10.3390/e24070905.
Повний текст джерелаJiang, Lanlan. "Convolutional Neural Network-Based Cross-Media Semantic Matching and User Adaptive Satisfaction Analysis Model." Computational Intelligence and Neuroscience 2022 (April 30, 2022): 1–12. http://dx.doi.org/10.1155/2022/4244675.
Повний текст джерелаWan, Renzhuo, Chengde Tian, Wei Zhang, Wendi Deng, and Fan Yang. "A Multivariate Temporal Convolutional Attention Network for Time-Series Forecasting." Electronics 11, no. 10 (May 10, 2022): 1516. http://dx.doi.org/10.3390/electronics11101516.
Повний текст джерелаLian, Zuozheng, Haizhen Wang, and Qianjun Zhang. "An Image Deblurring Method Using Improved U-Net Model." Mobile Information Systems 2022 (July 31, 2022): 1–11. http://dx.doi.org/10.1155/2022/6394788.
Повний текст джерелаWan, Renzhuo, Shuping Mei, Jun Wang, Min Liu, and Fan Yang. "Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting." Electronics 8, no. 8 (August 7, 2019): 876. http://dx.doi.org/10.3390/electronics8080876.
Повний текст джерелаZhu, Yunlong. "Research on News Text Classification Based on Deep Learning Convolutional Neural Network." Wireless Communications and Mobile Computing 2021 (December 8, 2021): 1–6. http://dx.doi.org/10.1155/2021/1508150.
Повний текст джерелаYang, Yadong, Xiaofeng Wang, and Hengzheng Zhang. "Local Importance Representation Convolutional Neural Network for Fine-Grained Image Classification." Symmetry 10, no. 10 (October 11, 2018): 479. http://dx.doi.org/10.3390/sym10100479.
Повний текст джерелаLawrence, Tom, and Li Zhang. "IoTNet: An Efficient and Accurate Convolutional Neural Network for IoT Devices." Sensors 19, no. 24 (December 14, 2019): 5541. http://dx.doi.org/10.3390/s19245541.
Повний текст джерела陳鵬, 陳鵬, Jiancheng Zhao Peng Chen, and Xiaosheng Yu Jiancheng Zhao. "LighterKGCN: A Recommender System Model based on Bi-layer Graph Convolutional Networks." 網際網路技術學刊 23, no. 3 (May 2022): 621–29. http://dx.doi.org/10.53106/160792642022052303020.
Повний текст джерелаLee, Seonggu, and Jitae Shin. "Hybrid Model of Convolutional LSTM and CNN to Predict Particulate Matter." International Journal of Information and Electronics Engineering 9, no. 1 (March 2019): 34–38. http://dx.doi.org/10.18178/ijiee.2019.9.1.701.
Повний текст джерелаShen Song, Shen Song, Cong Zhang Shen Song, and Xinyuan You Cong Zhang. "Decoupling Temporal Convolutional Networks Model in Sound Event Detection and Localization." 網際網路技術學刊 24, no. 1 (January 2023): 089–99. http://dx.doi.org/10.53106/160792642023012401009.
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