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

41. A Lightweight Software-Defined Routing Scheme for 5G URLLC in Bottleneck Networks

Sa Math, Prohim Tam, Seokhoon Kim, Vol. 23, No. 2, pp. 1-7, Apr. 2022
10.7472/jksii.2022.23.2.1
Keywords: Internet of Things, Quality of Service, Machine Learning, Mobile Edge Computing, Software-Defined Networking
42. A Methodology of AI Learning Model Construction for Intelligent Coastal Surveillance

Changhee Han, Jong-Hwan Kim, Jinho Cha, Jongkwan Lee, Yunyoung Jung, Jinseon Park, Youngtaek Kim, Youngchan Kim, Jeeseung Ha, Kanguk Lee, Yoonsung Kim, Sungwan Bang, Vol. 23, No. 1, pp. 77-86, Feb. 2022
10.7472/jksii.2022.23.1.77
Keywords: Command Control, Surveillance, Artificial intelligence, C4I, Machine Learning & Training, Radar
43. Multi-source information integration framework using self-supervised learning-based language model

Hanmin Kim, Jeongbin Lee, Gyudong Park, Mye Sohn, Vol. 22, No. 6, pp. 141-150, Dec. 2021
10.7472/jksii.2021.22.6.141
Keywords: Self-Supervised Learning, Language Model, similar relationship between sentences, Multi-source information integration
44. 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
45. Machine Learning based Firm Value Prediction Model: using Online Firm Reviews

Hanjun Lee, Dongwon Shin, Hee-Eun Kim, Vol. 22, No. 5, pp. 79-86, Oct. 2021
10.7472/jksii.2021.22.5.79
Keywords: Firm value, Machine Learning, Online Review, Firm review, Jobplanet
46. 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
47. Formal Model of Extended Reinforcement Learning (E-RL) System

Do Yeong Jeon, Myeong Ho Song, Soo Dong Kim, Vol. 22, No. 4, pp. 13-28, Aug. 2021
10.7472/jksii.2021.22.4.13
Keywords: Reinforcement Learning (RL), Advanced RL, Formal Model, Design Methods, and Advanced Navigator System
48. 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
49. Development of a Hybrid Deep-Learning Model for the Human Activity Recognition based on the Wristband Accelerometer Signals

Seungmin Jeong, Dongik Oh, Vol. 22, No. 3, pp. 9-16, Jun. 2021
10.7472/jksii.2021.22.3.9
Keywords: Activities of Daily Living, Human Activity Recognition, Smartwatch, Accelerometer, Machine Learning, Activity Classification, feature extraction, feature reduction
50. Hybrid Fireworks Algorithm with Dynamic Coefficients and Improved Differential Evolution

Lixian Li, Jaewan Lee, Vol. 22, No. 2, pp. 19-27, Apr. 2021
10.7472/jksii.2021.22.2.19
Keywords: Fireworks Algorithm; Dynamic Coefficient; Differential Evolution; Commensal Learning

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