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Machine learning approaches for forest classification using multi-temporal Landsat TM images

Im, Jungho , None

Conference Paper Issue Date2011-04-16 View4

Machine learning approaches to coastal water quality monitoring using GOCI satellite data File

Kim, Yong Hoon , Im, Jungho , Ha, Ho Kyung , Choi, Jong-Kuk , Ha, Sunghyun

Article Issue Date2014-03 View4

Machine learning approaches to detect convective initiation (CI) geostationary satellite and weather radar

Im, Jungho , Lee, Sanggyun , Jang, Eunna

Conference Paper Issue Date2015-10-13 View5

Machine learning approaches to detect convective initiation (CI) geostationary satellite and weather radar

Im, Jungho , Lee, Sanggyun , Jang, Eunna

Conference Paper Issue Date2015-11-11 View4

Machine learning approaches to drought monitoring and assessment through blending of multi-sensor indices for different climate regions

Im, Jungho

Conference Paper Issue Date2014-04-27 View3

Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green File

Jaffari, Zeeshan Haider , Abbas, Ather , Lam, Sze-Mun , Park, Sanghun , Chon, Kangmin , Kim, Eun-Sik , Cho, Kyung Hwa

Article Issue Date2023-01 View6

Machine learning assembly landscapes from particle tracking data File

Long, Andrew W. , Zhang, Jie , Granick, Steve , Ferguson, Andrew L.

Article Issue Date2015-08 View6

Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts File

Umer, Muhammad , Umer, Sohaib , Zafari, Mohammad , Ha, Miran , Anand, Rohit , Hajibabaei, Amir , Abbas, Ather , Lee, Geunsik , Kim, Kwang S.

Article Issue Date2022-03 View8

Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells File File

Nagulapati, Vijay Mohan , Kumar, S. Shiva , Annadurai, Vimalesh , Lim, Hankwon

Article Issue Date2023-04 View5

Machine learning based prediction of subcooled bubble condensation behavior, validation with experimental and numerical results File

Nagulapati, Vijay Mohan , Paramanantham, SalaiSargunan S. , Ni, Aleksey , Raman, Senthil Kumar , Lim, Hankwon

Article Issue Date2022-07 View6

Machine learning based predictive model for methanol steam reforming with technical, environmental, and economic perspectives File

Byun, Manhee , Lee, Hyunjun , Choe, Changgwon , Cheon, Seunghyun , Lim, Hankwon

Article Issue Date2021-12 View8

MACHINE LEARNING BASED PREDICTIVE MODELING OF DIMENSIONAL QUALITY IN DIRECT ENERGY DEPOSITION WITH SUS316L File

Choi, Tae-Yang

Thesis Issue Date2020-08 View10

Machine learning based real-time vehicle data analysis for safe driving modeling File

Yadav, Pamul , Jung, Sangsu , Singh, Dhananjay

Conference Paper Issue Date2019-04-08 View2

Machine learning for fragility analysis of steel moment frames

Nguyen, Hoang , Shin, Myoungsu

Conference Paper Issue Date2021-09-10 View8

Machine learning for image data analysis in chemical engineering

Kim, Donghyuk

Conference Paper Issue Date2019-10-23 View4

Machine Learning for Object Recognition in Manufacturing Applications File

Yun, Huitaek , Kim, Eunseob , Kim, Dong Min , Park, Hyung Wook , Jun, Martin Byung-Guk

Article Issue Date2023-04 View2

Machine Learning for Predicting the Band Gaps of ABX(3) Perovskites from Elemental Properties File

Gladkikh, Vladislav , Kim, Dong Yeon , Hajibabaei, Amir , Jana, Atanu , Myung, Chang Woo , Kim, Kwang S.

Article Issue Date2020-04 View2

Machine Learning Guided Alignment System for a W-Band Higher Order Mode Generator File

Baijukya, Edrick , Lim, JinHo , Choi, EunMi

Article Issue Date2024-03 View2

Machine learning implementation for a rapid earthquake early warning system

Sihombing, Fritz , Torbol, Marco

Conference Paper Issue Date2018-10-28 View10

Machine Learning May Sometimes Simply Capture LiteraturePopularity Trends: A Case Study of Heterocyclic Suzuki-MiyauraCoupling br File File

Beker, Wiktor , Roszak, Rafal , Wolos, Agnieszka , Angello, Nicholas H. , Rathore, Vandana , Burke, Martin D. , Grzybowski, Bartosz A.

Article Issue Date2022-03 View7

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