Digital Library
Search: "[ keyword: Neural Network ]" (50)
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Huijuan Sun
Vol. 20, No. 4, pp. 458-476, Aug. 2024
10.3745/JIPS.01.0106
Keywords: Bi-directional Gated Recurrent Unit, Class Imbalance, deep neural network, Edge Computing, Network intrusion detection, Transformer-Encoder -
Qingqing Liang
Vol. 20, No. 3, pp. 328-336, Jun. 2024
10.3745/JIPS.02.0214
Keywords: Guided Robot, HCI, Neural Network, visual communication -
Malika Douache, Badra Nawal Benmoussat
Vol. 19, No. 6, pp. 730-744, Dec. 2023
10.3745/JIPS.02.0207
Keywords: Convolutional Neural Network, Deep Learning, Egocentric Vision (or First-Person Vision), Human Activity Recognition, Image Classification, Inertial Measurement Unit (IMU) -
Samat Ali, Alim Murat
Vol. 19, No. 3, pp. 355-369, Jun. 2023
10.3745/JIPS.02.0197
Keywords: Character Representation, deep neural network, Morphologically Rich Language, POS Tagging -
Gengming Li
Vol. 19, No. 2, pp. 203-210, Apr. 2023
10.3745/JIPS.02.0192
Keywords: Convolutional Neural Network, Graphic Elements, Traditional Handwork, visual communication -
Cong Qiao, Qifeng Gao, Huayan Xing
Vol. 19, No. 1, pp. 46-54, Feb. 2023
10.3745/JIPS.04.0263
Keywords: Ant Colony, Convolutional Neural Network, Layout Optimization, Railway, Transportation, Transportation Route -
Zhe Zhang, Yongchang Zhang
Vol. 18, No. 6, pp. 755-762, Dec. 2022
10.3745/JIPS.04.0257
Keywords: Automatic Control, Electrical Engineering Design, Fault Tolerant Control, Neural Network -
Youngsoo Kim, Taehong Kim, Seong-eun Yoo
Vol. 18, No. 5, pp. 677-687, Oct. 2022
10.3745/JIPS.04.0253
Keywords: CNN, Intelligent Image and Video Detection System, Tree-Structured Convolutional Neural Networks (TsCNNs) -
Chang Wang, Shijing Han, Wen Zhang, Shufeng Miao
Vol. 18, No. 4, pp. 587-598, Aug. 2022
10.3745/JIPS.02.0180
Keywords: Deep neural network (DNN), Difference Image, Frequency-Domain Significance, fuzzy c-means -
Wonkyung Kim, Kukheon Lee, Sangjin Lee, Doowon Jeong
Vol. 18, No. 2, pp. 245-257, Apr. 2022
10.3745/JIPS.03.0175
Keywords: Convolutional Neural Network (CNN), Deep Learning, Digital Forensics, User Interest, User Profiling