Hyeon Tae Kim - researchr alias

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Viewing Publication 1 - 10 from 10

2025

Peduncle Detection of Ripe Strawberry to Localize Picking Point Using DF-Mask R-CNN and Monocular DepthNiraj Tamrakar, Bhola Paudel, Sijan Karki, Nibas Chandra Deb, Elanchezhian Arulmozhi, Junghoo Kook, Myeong Yong Kang, Dae Yeong Kang, Oluwasegun Moses Ogundele, Bikash Nakarmi, Moon Byung-Eun, Hyeon Tae Kim. access, 13:73889-73902, 2025. [doi]

2024

Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approachMisbaudeen Aderemi Adesanya, Hammed Obasekore, Anis Rabiu, Wook-Ho Na, Qazeem Opeyemi Ogunlowo, Timothy Denen Akpenpuun, Min-Hwi Kim, Hyeon Tae Kim, Bo-Yeong Kang, Hyun-Woo Lee. eswa, 252:124126, 2024. [doi]

Development and Validation of Low-Cost Indoor Air Quality Monitoring System for Swine BuildingsElanchezhian Arulmozhi, Anil Bhujel, Nibas Chandra Deb, Niraj Tamrakar, Myeong Yong Kang, Junghoo Kook, Dae Yeong Kang, Eun Wan Seo, Hyeon Tae Kim. sensors, 24(11):3468, June 2024. [doi]

Modeling ammonia concentration in swine building using biophysical data and machine learning algorithmsJayanta Kumar Basak, Bhola Paudel, Nibas Chandra Deb, Dae Yeong Kang, Myeong Yong Kang, Sujit Kumar Roy, Shihab Ahmad Shahriar, Hyeon Tae Kim. cea, 225:109269, 2024. [doi]

2023

Prediction of drinking water requirements by applying statistical and machine learning models in growing-finishing stage of pigsJayanta Kumar Basak, Bhola Paudel, Shihab Ahmad Shahriar, Nibas Chandra Deb, Dae Yeong Kang, Hyeon Tae Kim. cea, 210:107934, July 2023. [doi]

Prediction of body composition in growing-finishing pigs using ultrasound based back-fat depth approach and machine learning algorithmsJayanta Kumar Basak, Bhola Paudel, Nibas Chandra Deb, Dae Yeong Kang, Byeong Eun Moon, Shihab Ahmad Shahriar, Hyeon Tae Kim. cea, 213:108269, October 2023. [doi]

2021

2019

Prediction of average daily gain of swine based on machine learningWoongsup Lee, Kang-Hwi Han, Hyeon Tae Kim, Heechul Choi, Younghwa Ham, Tae Won Ban. jifs, 36(2):923-933, 2019. [doi]

2014

Android application that provides information on the foot and mouth disease in KoreaKi Youn Kim, Hyeon Tae Kim. mta, 71(2):657-666, 2014. [doi]

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