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Search: "[ keyword: Learning ]" (152)

51. A Study on Classification of Variant Malware Family Based on ResNet-Variational AutoEncoder

Young-jeon Lee, Myung-Mook Han, Vol. 22, No. 2, pp. 1-9, Apr. 2021
10.7472/jksii.2021.22.2.1
Keywords: Variant Malware, Malware classification, Variational AutoEncoder, Tranfer Learning, Ensemble learning
52. COVID-19 Risk Analytics and Safe Activity Assistant Systemwith Machine Learning Algorithms

DoYeong Jeon, Myeong Ho Song, Soo Dong Kim, Vol. 22, No. 1, pp. 65-77, Feb. 2021
10.7472/jksii.2021.22.1.65
Keywords: COVID-19, Machine Learning, clustering, Risk Analytics, Safe Activity Assistance
53. A Noise-Tolerant Hierarchical Image Classification System based on Autoencoder Models

Jong-kwan Lee, Vol. 22, No. 1, pp. 23-30, Feb. 2021
10.7472/jksii.2021.22.1.23
Keywords: Image Classification, Deep Learning, Machine Learning, Autoencoder, noise
54. Leveraging Big Data for Spark Deep Learning to Predict Rating

Monika Mishra, Mingoo Kang, Jongwook Woo, Vol. 21, No. 6, pp. 33-39, Dec. 2020
10.7472/jksii.2020.21.6.33
Keywords: Big data, Deep Learning, Spark, Analytics Zoo, Amazon EMR, Machine Learning, Recommendation
55. Prediction of infectious diseases using multiple web data and LSTM

Yeongha Kim, Inhwan Kim, Beakcheol Jang, Vol. 21, No. 5, pp. 139-148, Oct. 2020
10.7472/jksii.2020.21.5.139
Keywords: Machine Learning, Predict infectious diseases, Web data, LSTM
56. An LSTM Neural Network Model for Forecasting Daily Peak Electric Load of EV Charging Stations

Haesung Lee, Byungsung Lee, Hyun Ahn, Vol. 21, No. 5, pp. 119-127, Oct. 2020
10.7472/jksii.2020.21.5.119
Keywords: EV, Peak electric load, Load forecasting, Deep Learning, LSTM
57. Deep Learning-Based User Emergency Event Detection Algorithms Fusing Vision, Audio, Activity and Dust Sensors

Ju-ho Jung, Do-hyun Lee, Seong-su Kim, Jun-ho Ahn, Vol. 21, No. 5, pp. 109-118, Oct. 2020
10.7472/jksii.2020.21.5.109
Keywords: vision, Audio, Activity, Dust, Sensors, Deep Learning, abnormal event, patterns
58. A Feature-Based Malicious Executable Detection Approach Using Transfer Learning

Yue Zhang, Hyun-HoYang, Ning Gao, Vol. 21, No. 5, pp. 57-65, Oct. 2020
10.7472/jksii.2020.21.5.57
Keywords: Malicious Executable Detection, Transfer Learning, Feature-Based
59. A method of generating virtual shadow dataset of buildings for the shadow detection and removal

Kangjik Kim, Junchul Chun, Vol. 21, No. 5, pp. 49-56, Oct. 2020
10.7472/jksii.2020.21.5.49
Keywords: Unity3D, Shadow Dataset, Deep Learning, Satellite shadow data, Building shadow data
60. Empirical Comparison of Deep Learning Networks on Backbone Method of Human Pose Estimation

Beanbonyka Rim, Junseob Kim, Yoo-Joo Choi, Min Hong, Vol. 21, No. 5, pp. 21-29, Oct. 2020
10.7472/jksii.2020.21.5.21
Keywords: Deep Learning, Human Pose Estimation, CNN, VGG, ResNet

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