Digital Library
Search: "[ keyword: CNN ]" (17)
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JunHyeok Go, Nammee Moon
Vol. 20, No. 5, pp. 675-683, Oct. 2024
10.3745/JIPS.01.0109
Keywords: Convolutional Neural Network (CNN), Image Similarity, Large Waste -
Yue Wang
Vol. 20, No. 3, pp. 375-390, Jun. 2024
10.3745/JIPS.01.0105
Keywords: Abnormal Traffic Mining, Big data, BiLSTM, Cloud–Edge Collaborative Computing, CNN, Wasserstein Generative Adversarial Networks -
Hyungju Kim, Nammee Moon
Vol. 20, No. 2, pp. 159-172, Apr. 2024
10.3745/JIPS.02.0211
Keywords: Behavior Recognition, CNN-LSTM, data augmentation, Deep Learning, Sensor data, wearable device -
Haiqin Tang, Ruirui Zhang
Vol. 19, No. 6, pp. 842-857, Dec. 2023
10.3745/JIPS.04.0299
Keywords: Chinese Microblog Review, Deep Learning, Sentiment Classification, TextCNN-BiLSTM -
Hong Wang
Vol. 19, No. 5, pp. 688-701, Oct. 2023
10.3745/JIPS.01.0097
Keywords: Big data, BiLSTM, CNN, Feature selection, Network intrusion detection -
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) -
Younghoon Jung, Daewon Kim
Vol. 18, No. 5, pp. 599-613, Oct. 2022
10.3745/JIPS.04.0252
Keywords: Faster R-CNN, Classification, Machine Learning, Non-proliferative Diabetic Retinopathy, Random Forest -
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 -
SungChul Byun, Seong-Soo Han, Chang-Sung Jeong
Vol. 18, No. 2, pp. 197-207, Apr. 2022
10.3745/JIPS.02.0169
Keywords: Captured Image, CNN, Deep Learning Dataset, Image Classification, Object Detection, Widget -
Syed Nazir Hussain, Azlan Abd Aziz, Md. Jakir Hossen, Nor Azlina Ab Aziz, G. Ramana Murthy, Fajaruddin Bin Mustakim
Vol. 18, No. 1, pp. 115-129, Feb. 2022
10.3745/JIPS.04.0235
Keywords: CNN-LSTM Neural Network, Electricity Consumption Prediction, Large Gaps of Missing Values, Prediction of Missing Values in Time-Series Data, smart home system