A local linear modeling paradigm with a modified counterpropagation network. - Jeongho Cho; José C. Príncipe; Mark A. Motter (IJCNN, 2003)

Local Hammerstein modeling based on self-organizing map. - Jeongho Cho; José C. Príncipe; Mark A. Motter (NNSP, 2003)

Local Linear PID Controllers for Nonlinear Control. - Jing Lan; Jeongho Cho; Deniz Erdogmus; José C. Príncipe; Mark A. Motter; Jian-Wu Xu (Control. Intell. Syst., 2005)

Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map. - Jeongho Cho; José Carlos Príncipe; Deniz Erdogmus; Mark A. Motter (IEEE Trans. Neural Networks, 2006)

Quasi-sliding mode control strategy based on multiple-linear models. - Jeongho Cho; José C. Príncipe; Deniz Erdogmus; Mark A. Motter (Neurocomputing, 2007)

Self-organizing maps with dynamic learning for signal reconstruction. - Jeongho Cho; António R. C. Paiva; Sung-Phil Kim; Justin C. Sanchez; José Carlos Príncipe (Neural Networks, 2007)

Development of an RTK-GPS Positioning Application with an Improved Position Error Model for Smartphones. - Jinsang Hwang; Hongsik Yun; YongCheol Suh; Jeongho Cho; Dongha Lee 001 (Sensors, 2012)

Test and debug strategy for TSMC CoWoS™ stacking process based heterogeneous 3D IC: A silicon case study. - Sandeep Kumar Goel; Saman Adham; Min-Jer Wang; Ji-Jan Chen; Tze-Chiang Huang; Ashok Mehta; Frank Lee 004; Vivek Chickermane; Brion L. Keller; Thomas Valind; Subhasish Mukherjee; Navdeep Sood; et al. (ITC, 2013)

Transceiver with inductive coupling for wireless chip-to-chip communication using a 50-nm digital CMOS process. - Changhyun Lee; Jonghoon Park; Jinho Yoo; Hyungjun Cho; Jungi Choi; Jeongho Cho; Changkun Park (Microelectron. J., 2013)

GBAS Reference Receiver Clock Adjustment Effects on Continuity and Integrity Performance. - Youngsun Yun; Jeongho Cho; Moon-Beom Heo; Gi-Wook Nam (IEEE Trans. Aerosp. Electron. Syst., 2013)

GBAS ionospheric anomaly monitoring strategy using Kullback-Leibler divergence metric. - Jeongho Cho; Youngsun Yun; Moon-Beom Heo (IEEE Trans. Aerosp. Electron. Syst., 2015)

Improvement of Anomalous Behavior Detection of GNSS Signal Based on TDNN for Augmentation Systems. - Daehee Kim 001; Jeongho Cho (Sensors, 2018)

An enhanced Density-based spatial separation strategy of 3D point clouds. - Jongwon Kim 005; Jinsoo Kim; Jeongho Cho (ICSPCS, 2019)

An advanced object classification strategy using YOLO through camera and LiDAR sensor fusion. - Jinsoo Kim; Jongwon Kim 005; Jeongho Cho (ICSPCS, 2019)

An online graph-based anomalous change detection strategy for unsupervised video surveillance. - Jongwon Kim 005; Jeongho Cho (EURASIP J. Image Video Process., 2019)

Delaunay Triangulation-Based Spatial Clustering Technique for Enhanced Adjacent Boundary Detection and Segmentation of LiDAR 3D Point Clouds. - Jongwon Kim 005; Jeongho Cho (Sensors, 2019)

Regime-Switched Neural Networks: Flow Stress Modeling Strategy of 310s Stainless Steel During Hot Deformation. - Jeongho Cho; Shin-Hyung Song (IEEE Access, 2021)

Peer-to-Peer Energy Trading in Smart Grid Through Blockchain: A Double Auction-Based Game Theoretic Approach. - Hien Thanh Doan; Jeongho Cho; Daehee Kim 001 (IEEE Access, 2021)

RGDiNet: Efficient Onboard Object Detection with Faster R-CNN for Air-to-Ground Surveillance. - Jongwon Kim 005; Jeongho Cho (Sensors, 2021)

DBSCAN-Based Tracklet Association Annealer for Advanced Multi-Object Tracking. - Jongwon Kim 005; Jeongho Cho (Sensors, 2021)

AIDM-Strat: Augmented Illegal Dumping Monitoring Strategy through Deep Neural Network-Based Spatial Separation Attention of Garbage. - Yeji Kim; Jeongho Cho (Sensors, 2022)

Improved Monitoring of Wildlife Invasion through Data Augmentation by Extract-Append of a Segmented Entity. - Jaekwang Lee; Kangmin Lim; Jeongho Cho (Sensors, 2022)

Deep Multimodal Detection in Reduced Visibility Using Thermal Depth Estimation for Autonomous Driving. - Sungan Yoon; Jeongho Cho (Sensors, 2022)

Semi-supervised intrusion detection system for in-vehicle networks based on variational autoencoder and adversarial reinforcement learning. - Trieu-Phong Nguyen; Jeongho Cho; Daehee Kim 001 (Knowl. Based Syst., 2024)

A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet. - Muhammad Waqas Ahmed; Moneerah Alotaibi; Sultan Refa Alotaibi; Dina Abdulaziz Alhammadi; Asaad Algarni; Ahmad Jalal; Jeongho Cho (IEEE Access, 2025)