| Paper Code | Title | Authors | Topic |
|---|
| Tu-M03-TP/1 | Analysis of Two-layer Sintering Process for Different Bed Heights by Genetic Algorithm | Mitra Kishalay, Nath Niloy K. | 6.2 |
| Tu-M03-TP/2 | Analysis of errors of coal quality monitors | Cierpisz Stanislaw | 6.2 |
| Tu-M03-TP/3 | Application of Grey Relation Analysis and RBF Network on Grinding-concentration’s Soft Sensing | Li Yong, Shao Cheng | 6.2 |
| Tu-M03-TP/4 | Control of crushing circuits with variable speed drives | Sbarbaro Daniel | 6.2 |
| Tu-M03-TP/5 | Detecting abnormal feed rate in aluminium electrolysis using extended Kalman filter | Hestetun Kristin, Hovd Morten | 6.2 |
| Tu-M03-TP/6 | Development Issues on the Life-cycle Management of Mineral Grinding Processes and Equipment | Remes Antti, Suontaka Ville, Saloheimo Kari, Jämsä-Jounela Sirkka-Liisa | 6.2 |
| Tu-M03-TP/7 | Development of Visual Evaluation and Numerical Analysis System of Blast Furnace | Matsuzaki Shinroku, Ito Masahiro, Kakiuchi Kazumoto, Iosbe Makoto | 6.2 |
| Tu-M03-TP/8 | Development of middleware for software of UNIX based control system | Hwang Hwawon, Kim Yongsoo | 6.2 |
| Tu-M03-TP/9 | End-point Temperature Prediction based on RBF Neural Network | Deng Changhui, Wang Shu, Mao Zhizhong, Wang Fuli | 6.2 |
| Tu-M03-TP/10 | Fault Detection Based on Probabilistic Robustness Techniques for Belt Conveyor Systems | Sader Mario, Noack René, Zhang Ping, Ding Steven X., Jeinsch Torsten | 6.2 |
| Tu-M03-TP/11 | Fault Diagnosis Expert System using Neural Networks for Roasting Process | Yan Ai-jun, Wu Feng-hua, Chai Tian-you | 6.2 |
| Tu-M03-TP/12 | Fuzzy Neuron Hybrid Control for Continuous Steel Casting | Tao Jili, Wang Ning | 6.2 |
| Tu-M03-TP/13 | Fuzzy Predictive Control of a Column Flotation Process | Vieira Susana, Sousa João, Durão Fernando | 6.2 |
| Tu-M03-TP/14 | Integrated Automation System of Minerals Processing and its Applications | Chai Tianyou, Ding Jinliang, Zhao Dayong, Yan Aijun | 6.2 |
| Tu-M03-TP/15 | Integrated Quality Control for Looper System by Adaptive Technique | Kitamura Akira, Asada Hideki, Konishi Masami | 6.2 |
| Tu-M03-TP/16 | Java-based Integrating Simulator for Blast Furnace | Koga Masanobu, Ogawa Masatoshi, Ogai Harutoshi, Ito Masahiro, Uchida Kenko, Matsuzaki Shinroku | 6.2 |
| Tu-M03-TP/17 | MPC control of the refining stage of an electric arc furnace | Coetzee L.C., Craig I.K., Rathaba L.P. | 6.2 |
| Tu-M03-TP/18 | Minimum Number of Sampled Streams Ensuring Circuit Mass-Balance | Konstantinos Tsakalakis, Fani Kalaitzi | 6.2 |
| Tu-M03-TP/19 | Modeling of Wet Grinding Operation using Artificial Intelligence based Techniques | Mitra Kishalay, Ghivari Mahesh | 6.2 |
| Tu-M03-TP/20 | Mould Level Control for the Continuous Steel Casting | Smutný Lubomír, Farana Radim, Víteček Antonín, Kačmář Dalibor | 6.2 |
| Tu-M03-TP/21 | Nonlinear Modelling and Simulation of Industrial Wet Grinding Process | Barve Jayesh, Mitra Kishalay, Junnuri V.S.S. Rameshkumar | 6.2 |
| Tu-M03-TP/22 | Product Quality Improvement Using Multivariate Data Analysis | Kano Manabu, Fujiwara Koichi, Hasebe Shinji, Ohno Hiromu | 6.2 |
| Tu-M03-TP/23 | The Architecture of Manufacturing Execution System in Iron & Steel Enterprise | Li Huiying, Pang Xinfu, Zheng Binglin, Chai Tianyou | 6.2 |
