Deep Learning Parallel Model for Improving Short-term Precipitation Prediction using Meteorological Element Data

Chang-Bok Kim

The Journal of Korean Institute of Information Technology

2023 .10

Deep Learning Model for Electric Power Demand Prediction Using Special Day Separation and Prediction Elements Extention

Pa ,  k ,  Jun-Ho

한국항행학회논문지

2017 .01

Performance Analysis of Data-parallel Deep Learning

Yoo ,  ee Shin ,  Eungyeong Lee

한국정보과학회 학술발표논문집

2022 .12

Prediction of Solar Photovoltaic Power Generation by Weather Using LSTM

Saem-Mi Lee ,  Kyu-Cheol Cho

Journal of the Korea Society of Computer and Information

2022 .08

Time series data through stock price prediction improving prediction accuracy

Hyeon Su Seung ,  Jin Young Yang ,  Jung Hwa Kang and others 1

Proceedings of Symposium of the Korean Institute of communications and Information Sciences

2021 .11

A study on Deep Learning-based Stock Price Prediction using News Sentiment Analysis

Doo-Won Kang ,  So-Yeop Yoo ,  Ha-Young Lee and others 1

Journal of the Korea Society of Computer and Information

2022 .08

A survey of model-parallel techniques for deep learning models

김수정 ,  전병곤

한국정보과학회 학술발표논문집

2018 .12

A stock price prediction according to a pandemic

Minkyu Suh ,  Gin Seong Hwang ,  Jaewan Hwang and others 3

Proceedings of KIIT Conference

2022 .12

Anomaly Detection Method of User Trajectories based on Deep Learning Technologies

Kangjun Lee ,  Hyunjun Jung ,  Sukhoon Lee

The Journal of Korean Institute of Information Technology

2022 .11

Flight data prediction method using LSTM based-deep learning model

Taehoon Kim ,  Minjae Song ,  Eunju Choi and others 2

한국항공우주학회 학술발표회 초록집

2021 .11

CNN-LSTM model Based Deep Voice Detection

Guhyeon Kang ,  Minhae Kwon

Proceedings of Symposium of the Korean Institute of communications and Information Sciences

2024 .06

Stock Prediction Model based on Bidirectional LSTM Recurrent Neural Network

Il-Taeck Joo ,  Seung-Ho Choi

Journal of Korea Institute of Information, Electronics, and Communication Technology

2018 .04

Short-Term Crack in Sewer Forecasting Method Based on CNN-LSTM Hybrid Neural Network Model

Seung-Ju Jang ,  Seung-Yup Jang

Journal of Korean Geosynthetics Society

2022 .06

Sentiment Analysis of Movie Review Using Integrated CNN-LSTM Model

Ho-yeon Pa ,  k ,  Kyoung-jae Kim

Journal of Intelligence and Information Systems

2019 .12

A study on the comparison of performance of deep learning hybrid models for stock price prediction

Lee Seo A ,  Ye-Jin Mun ,  Dong-Myeng Choo and others 2

Proceedings of Symposium of the Korean Institute of communications and Information Sciences

2025 .02

A Study on the stock price prediction and influence factors through NARX neural network optimization

Min Jong Cheon ,  Ook Lee

Journal of the Korea Academia-Industrial cooperation Society

2020 .08

Deep Learning Model for Prediction Rate Improvement of Stock Price Using RNN and LSTM

Dong-Ha Shin ,  Kwang-Ho Choi ,  Chang-Bok Kim

The Journal of Korean Institute of Information Technology

2017 .10

Stocks Price Prediction by Analyzing Models Performance - A comparative analysis

Jabeen Shaisata ,  Bonghee Hong

한국정보과학회 학술발표논문집

2022 .06

Empirical Study on Analyzing Training Data for CNN-based Product Classification Deep Learning Model

Nakyong Lee ,  Jooyeon Kim ,  Junho Shim

The Journal of Society for e-Business Studies

2021 .02