Digital Library
Search: "[ keyword: Neural Network ]" (102)
A Study on Peak Load Prediction Using TCN Deep Learning Model
Lee Jung Il KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 6, pp. 251-258,
Jun.
2023
https://doi.org/10.3745/KTSDE.2023.12.6.251
Keywords: Peak Load Prediction, Artificial neural network, Deep Learning, Hyper Parameter Optimization
https://doi.org/10.3745/KTSDE.2023.12.6.251
Keywords: Peak Load Prediction, Artificial neural network, Deep Learning, Hyper Parameter Optimization
Fake News Detection Using CNN-based Sentiment Change Patterns
Tae Won Lee, Ji Su Park, Jin Gon Shon KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 4, pp. 179-188,
Apr.
2023
https://doi.org/10.3745/KTSDE.2023.12.4.179
Keywords: Convolutional neural networks, Sentiment Change Patterns, fake news
https://doi.org/10.3745/KTSDE.2023.12.4.179
Keywords: Convolutional neural networks, Sentiment Change Patterns, fake news
Predicting Unseen Object Pose with an Adaptive Depth Estimator
Sungho Song, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 12, pp. 509-516,
Dec.
2022
https://doi.org/10.3745/KTSDE.2022.11.12.509
Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network
https://doi.org/10.3745/KTSDE.2022.11.12.509
Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network
Performance Improvement Method of Convolutional Neural Network Using Combined Parametric Activation Functions
Young Min Ko, Peng Hang Li, Sun Woo Ko KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 9, pp. 371-380,
Sep.
2022
https://doi.org/10.3745/KTSDE.2022.11.9.371
Keywords: Convolutional Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Loss Function
https://doi.org/10.3745/KTSDE.2022.11.9.371
Keywords: Convolutional Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Loss Function
Learning Method for Regression Model by Analysis of Relationship Between Input and Output Data with Periodicity
Hye-Jin Kim, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 7, pp. 299-306,
Jul.
2022
https://doi.org/10.3745/KTSDE.2022.11.7.299
Keywords: Neural Network, Fault diagnosis, Sensor data, Regression Model, Thermal Estimation
https://doi.org/10.3745/KTSDE.2022.11.7.299
Keywords: Neural Network, Fault diagnosis, Sensor data, Regression Model, Thermal Estimation
YOLO, EAST : Comparison of Scene Text Detection Performance, Using a Neural Network Model
Park Chan Yong, Lim Young Min, Jeong Seung Dae, Cho Young Heuk, Lee Byeong Chul, Lee Gyu Hyun, Kim Jin Wook KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 3, pp. 115-124,
Mar.
2022
https://doi.org/10.3745/KTSDE.2022.11.3.115
Keywords: Scene Text Detection, YOLO, EAST, Neural Network
https://doi.org/10.3745/KTSDE.2022.11.3.115
Keywords: Scene Text Detection, YOLO, EAST, Neural Network
Temporal Fusion Transformers and Deep Learning Methodsfor Multi-Horizon Time Series Forecasting
InKyung Kim, DaeHee Kim, Jaekoo Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 2, pp. 81-86,
Feb.
2022
https://doi.org/10.3745/KTSDE.2022.11.2.81
Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks
https://doi.org/10.3745/KTSDE.2022.11.2.81
Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks
Performance Improvement Method of Fully Connected Neural Network Using Combined Parametric Activation Functions
Young Min Ko, Peng Hang Li, Sun Woo Ko KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 1-10,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.1
Keywords: Fully Connected Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Learning
https://doi.org/10.3745/KTSDE.2022.11.1.1
Keywords: Fully Connected Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Learning
Distracted Driver Detection and Characteristic Area Localization by Combining CAM-Based Hierarchical and Horizontal Classification Models
Sooyeon Go, Yeongwoo Choi KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 439-448,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.439
Keywords: Distracted Driver Detection, Convolutional neural networks, Class Activation Maps, Attention Area Localization
https://doi.org/10.3745/KTSDE.2021.10.11.439
Keywords: Distracted Driver Detection, Convolutional neural networks, Class Activation Maps, Attention Area Localization
Alleviation of Vanishing Gradient Problem Using Parametric Activation Functions
Young Min Ko, Sun Woo Ko KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 10, pp. 407-420,
Oct.
2021
https://doi.org/10.3745/KTSDE.2021.10.10.407
Keywords: deep neural network, Vanishing Gradient Problem, Parametric Activation Function, Backpropagation, Learning
https://doi.org/10.3745/KTSDE.2021.10.10.407
Keywords: deep neural network, Vanishing Gradient Problem, Parametric Activation Function, Backpropagation, Learning
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
