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Search: "[ keyword: Deep Learning ]" (35)

11. Deep Learning-Based Prediction of the Quality of Multiple Concurrent Beams in mmWave Band

Jun-Hyeok Choi, Mun-Suk Kim, Vol. 23, No. 3, pp. 13-20, Jun. 2022
10.7472/jksii.2022.23.3.13
Keywords: mmWave, 802.11ay, beamforming, MU-MIMO, Deep Learning
12. Deep Neural Network-Based Critical Packet Inspection for Improving Traffic Steering in Software-Defined IoT

Prohim Tam, Sa Math, Seokhoon Kim, Vol. 22, No. 6, pp. 1-8, Dec. 2021
10.7472/jksii.2021.22.6.1
Keywords: Deep Learning, Deep Packet Inspection, Network Functions Virtualization, Software-Defined Networking, Traffic Steering
13. Efficient Resource Slicing Scheme for Optimizing Federated Learning Communications in Software-Defined IoT Networks

Prohim Tam, Sa Math, Seokhoon Kim, Vol. 22, No. 5, pp. 27-33, Oct. 2021
10.7472/jksii.2021.22.5.27
Keywords: Deep Learning, Federated learning, Internet of Things, Network Functions Virtualization, Software-Defined Networking
14. Deep Learning based Abnormal Vibration Prediction of Drone

Jun-Ki Hong, Yang-Kyoo Lee, Vol. 22, No. 3, pp. 67-73, Jun. 2021
10.7472/jksii.2021.22.3.67
Keywords: Deep Learning, RNN, LSTM, Drone, Motor, Vibration
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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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