Seongil Im

According to our database, Seongil Im authored at least 4 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning hidden relationship between environment and control variables for direct control of automated greenhouse using Transformer-based model.

Junseo Lee, Seongil Im, Jae-Seung Jeong, Taek Sung Lee, Soo Hyun Park, Changhwan Shin, Hyunsu Ju, Hyung-Jun Kim

Comput. Electron. Agric., 2025

2024

Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing.

Seong-il Im, Jae-Seung Jeong, Junseo Lee, Changhwan Shin, Jeong Ho Cho, Hyunsu Ju

Neural Comput., April, 2024

2020

Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM).

Seong-il Im, Hyejin Lee, Jaesang Lee, Jae-Seung Jeong, Joon Young Kwak, Keunsu Kim, Jeong Ho Cho, Hyunsu Ju, Suyoun Lee

CoRR, 2020

2019

Explicit continuous I-V model for 2D transition metal dichalcogenide field-effect transistors.

Linfeng Deng, C. M. Si, H. Q. Huang, Jun Wang, He Wen, Seongil Im

Microelectron. J., 2019