Block effect reduction with content-based AC prediction in an MPEG-2 compressed video. - Taehwan Shin; Kyungho Cho; Byung-Ha Ahn (IEEE Trans. Consumer Electron., 1999)

Statistical approach to shot-boundary detection in an MPEG-2-compressed video sequence. - Taehwan Shin; Jae-Gon Kim; Jinwoong Kim; Byung-Ha Ahn (VCIP, 2000)

A public-key based watermarking for color image authentication. - Sung-Cheal Byun; Il Lo Lee; Tae Hwan Shin; Byung-Ha Ahn (ICME (1), 2002)

INsight: A Neuromorphic Computing System for Evaluation of Large Neural Networks. - Jaeyong Chung; Taehwan Shin; Yongshin Kang (CoRR, 2015)

Simplifying deep neural networks for neuromorphic architectures. - Jaeyong Chung; Taehwan Shin (DAC, 2016)

Live demonstration: Real-time image classification on a neuromorphic computing system with zero off-chip memory access. - Taehwan Shin; Yongshin Kang; Seungho Yang; Seban Kim; Jaeyong Chung (ISCAS, 2016)

Design and Implementation of a Vehicle Social Enabler Based on Social Internet of Things. - Taehwan Shin; Jinsung Byun (Mob. Inf. Syst., 2016)

Developing nontrivial standby power management using consumer pattern tracking for on-demand appliance energy saving over cloud networks. - Taehwan Shin; Hong-Tae Jeon; Jinsung Byun (IEEE Trans. Consumer Electron., 2016)

Corrigendum to "Design and Implementation of a Vehicle Social Enabler Based on Social Internet of Things". - Taehwan Shin; Jinsung Byun (Mob. Inf. Syst., 2017)

Design and Implementation of an Energy-Saving Lighting Control System Considering User Satisfaction. - Jinsung Byun; Taehwan Shin (IEEE Trans. Consumer Electron., 2018)

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation. - Balachandran Manavalan; Shaherin Basith; Tae Hwan Shin; Leyi Wei; Gwang Lee (Bioinform., 2019)

Simplifying Deep Neural Networks for FPGA-Like Neuromorphic Systems. - Jaeyong Chung; Taehwan Shin; Joon-Sung Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Two-Dimensional Simulation of Barley Growth and Yield Using a Model Integrated with Remote-Controlled Aerial Imagery. - Ashifur Rahman Shawon; Jonghan Ko; Seungtaek Jeong; Taehwan Shin; Kyung Do Lee; Sang In Shim (Remote. Sens., 2020)

Simulation of Spatiotemporal Variations in Cotton Lint Yield in the Texas High Plains. - Seungtaek Jeong; Taehwan Shin; Jong-Oh Ban; Jonghan Ko (Remote. Sens., 2022)

Assimilation of Deep Learning and Machine Learning Schemes into a Remote Sensing-Incorporated Crop Model to Simulate Barley and Wheat Productivities. - Taehwan Shin; Jonghan Ko; Seungtaek Jeong; Jiwoo Kang; Kyungdo Lee; Sang In Shim (Remote. Sens., 2022)

Development of a Radiometric Calibration Method for Multispectral Images of Croplands Obtained with a Remote-Controlled Aerial System. - Taehwan Shin; Seungtaek Jeong; Jonghan Ko (Remote. Sens., 2023)

Deep learning-enhanced remote sensing-integrated crop modeling for rice yield prediction. - Seungtaek Jeong; Jonghan Ko; Jong-Oh Ban; Taehwan Shin; Jong-Min Yeom (Ecol. Informatics, 2024)