Daehyon Kim

发表

Neural Network-based O-D Matrix Estimation from Link Traffic Counts

Daehyon Kim, Yohan Chang, 2008 .

A comparative study of aggregate and disaggregate gravity models using Seoul metropolitan subway trip data

Seongkil Cho, Daehyon Kim, Chansung Kim, 2009 .

Performance comparison of neural network models: backpropagation vs. fuzzy artmap

Daehyon Kim, Daehyon Kim, 2001, Int. J. Comput. Math..

New Method for Vehicle Detection Using Hough Transform

Daehyon Kim, 1999 .

INCIDENT DETECTION USING A FUZZY-BASED NEURAL NETWORK MODEL

Daehyon Kim, Seung-Jae Lee, Seungjae Lee, 2005 .

Deep Learning Neural Networks for Automatic Vehicle Incident Detection

Daehyon Kim, Daehyon Kim, 2018, Asia-pacific Journal of Convergent Research Interchange.

Acquiring Real Time Traffic Information Using Deep Learning Neural Networks

Daehyon Kim, 2016 .

Nonlinear Normalization Model to Improve the Performance of Neural Networks

Daehyon Kim, 2020 .

Normalisation Methods on Neural Networks for Predicting Pavement Layer Moduli

Jae-Min Kim, Sung-Ho Mun, Daehyon Kim, 2010 .

Fair and efficient multihop scheduling algorithm for IEEE 802.16 BWA systems

Aura Ganz, Daehyon Kim, 2005, 2nd International Conference on Broadband Networks, 2005..

Applying the ANFIS to the Analysis of Rain and Dark Effects on the Saturation Headways at Signalized Intersections

Kyung Whan Kim, Daehyon Kim, Jae Whan Chung, 2006 .

Normalization of Input Vectors in Deep Belief Networks (DBNs) for Automatic Incident Detection

Daehyon Kim, 2018 .

Prediction performance of support vector machines on input vector normalization methods

Daehyon Kim, Daehyon Kim, 2004, Int. J. Comput. Math..

Architecture for 3G and 802.16 wireless networks integration with QoS support

Aura Ganz, Daehyon Kim, A. Ganz, 2005, Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QSHINE'05).

Standard and Advanced Backpropagation Models for Image Processing Application in Traffic Engineering

Daehyon Kim, 2002, J. Intell. Transp. Syst..

Improving prediction performance of neural networks in pattern classification

Daehyon Kim, 2005, Int. J. Comput. Math..

PERFORMANCE IMPROVEMENT IN TRAFFIC VISION SYSTEMS USING SVMS

Seongkil Cho, Daehyon Kim, Yongtaek Lim, 2005 .

Queue Detection using Fuzzy-Based Neural Network Model

Daehyon Kim, 2003 .

Effects of image size reduction and gray level compression in Support Vector Machines

Se-Jung Lim, Daehyon Kim, Gwang-Jun Kim, 2015 .

Normalization methods on backpropagation for the estimation of driver's route choice

Kyung Whan Kim, Daehyon Kim, Hun Young Jung, 2005 .

Application of Neural Network Model to Vehicle Emissions

Daehyon Kim, Jeong Lee, 2010 .

Neural Network-Based Combined Synthetic Model of Trip Generation and Distribution

Daehyon Kim, Yohan Chang, Kyong-Uk Yang, 2008 .

An Energy Efficient Clustering in Wireless Sensor Networks

Se-Jung Lim, Daehyon Kim, Gwang-Jun Kim, 2015 .

Freeway automatic incident detection using learning models – backpropagation, SVM and FuzzyARTMAP

Daehyon Kim, Daehyon Kim, 2013 .

Development of a Neural Network for the Estimation of Drivers' Route Choice

Kyung Whan Kim, Daehyon Kim, 2004 .

Prediction Performance of Support Vector Machines with Fused Data in Road Scene Analysis

Daehyon Kim, 2015 .

Problems Encountered during Implementation of the Backpropagation

Daehyon Kim, Daehyon Kim, 1999, J. Intell. Transp. Syst..

Automatic Incident Detection Using Machine Learning

Daehyon Kim, Daehyon Kim, 2005 .

Normalization methods for input and output vectors in backpropagation neural networks

Daehyon Kim, Daehyon Kim, 1999, Int. J. Comput. Math..

Parameter Decision for Efficient Automatic Incident Detection System

Daehyon Kim, Daehyon Kim, 2005 .

Input Vector Normalization Methods in Support Vector Machines for Automatic Incident Detection

Seung-Jae Lee, Seongkil Cho, Daehyon Kim, 2007 .

Performance Improvement in Image Processing Techniques for Traffic Data Collection

Daehyon Kim, Daehyon Kim, 2009 .

Automatic Traffic Scene Analysis Using Supervised Machine Learning Algorithms - Backpropagation Neural Networks and Support Vector Machines

Daehyon Kim, Heejong Suh, Changsoo Jang, 2013 .

Pre-processing of inputs to a neural network model for better performance in traffic scene analysis

Daehyon Kim, Daehyon Kim, 2010 .