Joonki Hong

Real-time batch sequencing using arrival time control algorithm

Richard A. Wysk, Vittal Prabhu, Joonki Hong, 2001 .

Distributed Learning and Control for Manufacturing Systems Scheduling

Vittal Prabhu, Joonki Hong, V. Prabhu, 2001, IEA/AIE.

Accurate remaining range estimation for Electric vehicles

Naehyuck Chang, Sangjun Park, Joonki Hong, 2016, 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC).

A hybrid shop-floor control system for food manufacturing

Richard A. Wysk, Vittaldas V. Prabhu, Joonki Hong, 2001 .

Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning

Yung Yi, Eui-Rim Jeong, Joonki Hong, 2020 .

Distributed Reinforcement Learning Control for Batch Sequencing and Sizing in Just-In-Time Manufacturing Systems

Vittaldas V. Prabhu, Joonki Hong, V. Prabhu, 2004, Applied Intelligence.

Parameterized slot scheduling for adaptive and autonomous TSCH networks

Yung Yi, Jinhwan Jung, Daewoo Kim, 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Modelling and performance of distributed algorithm for scheduling dissimilar machines with set-up

Vittaldas V. Prabhu, Joonki Hong, 2003 .

Minimum-energy driving speed profiles for low-speed electric vehicles

Naehyuck Chang, Joonki Hong, Donkyu Baek, 2016, 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC).

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Soonil Kwon, David Earl Hostallero, Joonki Hong, 2019, JMIR mHealth and uHealth.

Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study

Soonil Kwon, Joonki Hong, Bon-Kwon Koo, 2020, Journal of medical Internet research.