Gray-box modeling for prediction and control of molten steel temperature in tundish I Ahmad, M Kano, S Hasebe, H Kitada, N Murata Journal of Process Control 24 (4), 375-382, 2014 | 57 | 2014 |
Gray-box soft sensors in process industry: Current practice, and future prospects in era of big data I Ahmad, A Ayub, M Kano, II Cheema Processes 8 (2), 243, 2020 | 42 | 2020 |
An Artificial Intelligence Method for Energy Efficient Operation of Crude Distillation Units under Uncertain Feed Composition MA Durrani, I Ahmad, M Kano, S Hasebe Energies 11, 2993, 2018 | 27 | 2018 |
Machine learning applications in biofuels’ life cycle: Soil, feedstock, production, consumption, and emissions I Ahmad, A Sana, M Kano, II Cheema, BC Menezes, J Shahzad, Z Ullah, ... Energies 14 (16), 5072, 2021 | 20 | 2021 |
A comprehensive study on upgradation of pyrolysis products through co-feeding of waste tire into rice straw under broad range of co-feed ratios in a bench-scale fixed bed reactor SR Khan, M Zeeshan, MF Khokhar, Zeshan, I Ahmad Biomass Conversion and Biorefinery, 1-15, 2021 | 19 | 2021 |
High-performance prediction of molten steel temperature in tundish through gray-box model T Okura, I Ahmad, M Kano, S Hasebe, H Kitada, N Murata ISIJ international 53 (1), 76-80, 2013 | 19 | 2013 |
Dimensions and Analysis of Uncertainty in Industrial Modeling Process I Ahmad, M Kano, S Hasebe Journal of Chemical Engineering of Japan 51 (7), 1-11, 2018 | 18 | 2018 |
Drivers and barriers for efficient energy management practices in energy-intensive industries: a case-study of iron and steel sector I Ahmad, MS Arif, II Cheema, P Thollander, MA Khan Sustainability 12 (18), 7703, 2020 | 17 | 2020 |
Prediction of Molten Steel Temperature in Steel Making Process with Uncertainty by Integrating Gray-Box Model and Bootstrap Filter I Ahmad, M Kano, S Hasebe, H Kitada, N Murata Journal of Chemical Engineering of Japan 47 (11), 827–834, 2014 | 16 | 2014 |
Manual on Punjab Weeds MN Nayyar, M Ashiq, I Ahmad Directorate of Agronomy. Ayub Agricultural Institute, Faisalabad, Pakistan 1, 52, 2001 | 16 | 2001 |
Computational fluid dynamics based model development and exergy analysis of naphtha reforming reactors J Mustafa, I Ahmad, M Ahsan, M Kano International Journal of Exergy 24 (2-4), 344-363, 2017 | 14 | 2017 |
Computational analysis of the hydrodynamic behavior for different air distributor designs of fluidized bed gasifier N Raza, M Ahsan, MT Mehran, SR Naqvi, I Ahmad Frontiers in Energy Research 9, 692066, 2021 | 13 | 2021 |
Artificial Intelligence Based Prediction of Exergetic Efficiency of a Blast Furnace MS Arif, I Ahmad Computer Aided Chemical Engineering, 2021 | 12 | 2021 |
Data-Based Sensing and Stochastic Analysis of Biodiesel Production Process I Ahmad, A Ayub, U Ibrahim, MK Khattak, M Kano Energies 12 (1), 63, 2019 | 12 | 2019 |
Exergy Analysis and Optimization of Naphtha Reforming Process with Uncertainty A Akram, I Ahmad, A Chughtai, M Kano International Journal of Exergy 26 (3), 247, 2018 | 12 | 2018 |
Prediction of optimum operating conditions of a furnace under uncertainty: An integrated framework of artificial neural network and genetic algorithm M Khan, I Ahmad, M Ahsan, M Kano, H Caliskan Fuel 330, 125563, 2022 | 11 | 2022 |
Process modeling, optimization and cost analysis of a sulfur recovery unit by applying pinch analysis on the claus process in a gas processing plant MA Zahid, M Ahsan, I Ahmad, MNA Khan Mathematics 10 (1), 88, 2021 | 11 | 2021 |
Data-based ground fault diagnosis of power cable systems I Ahmad, H Mabuchi, M Kano, S Hasebe, Y Inoue, H Uegaki SICE Journal of Control, Measurement, and System Integration 6 (4), 290-297, 2013 | 10 | 2013 |
Data-based fault diagnosis of power cable system: comparative study of k-NN, ANN, random forest, and CART I Ahmad, H Mabuchi, M Kano, S Hasebe, Y Inoue, H Uegaki IFAC Proceedings Volumes 44 (1), 12880-12885, 2011 | 10 | 2011 |
An intelligent sensing system for estimation of efficiency of carbon-capturing unit in a cement plant UK Jadoon, I Ahmad, T Noor, M Kano, H Caliskan, M Ahsan Journal of Cleaner Production 377, 134359, 2022 | 9 | 2022 |