| 1 |
Development and analyses of data-driven models for predicting the bed depth profile of solids flowing in a rotary kiln
Parveen N, Zaidi S, Danish M
Advanced Powder Technology, 31(2), 678, 2020 |
| 2 |
Support vector regression: A novel soft computing technique for predicting the removal of cadmium from wastewater
Parveen N, Zaidi S, Danish M
Indian Journal of Chemical Technology, 27(1), 43, 2020 |
| 3 |
Uniqueness verification of solar spectrum obtained from three sites in Japan based on similar index of average photon energy
Tsuji M, Rahman MM, Hishikawa Y, Nishioka K, Minemoto T
Solar Energy, 173, 89, 2018 |
| 4 |
Two and three-parameter Weibull distribution in available wind power analysis
Wais P
Renewable Energy, 103, 15, 2017 |
| 5 |
Probability distributions of wind speed in the UAE
Ouarda TBMJ, Charron C, Shin JY, Marpu PR, Al-Mandoos AH, Al-Tamimi MH, Ghedira H, Al Hosary TN
Energy Conversion and Management, 93, 414, 2015 |
| 6 |
A new probabilistic method to estimate the long-term wind speed characteristics at a potential wind energy conversion site
Carta JA, Velazquez S
Energy, 36(5), 2671, 2011 |
| 7 |
Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean
Akdag SA, Bagiorgas HS, Mihalakakou G
Applied Energy, 87(8), 2566, 2010 |
| 8 |
Correlating static properties of coal measures rocks with P-wave velocity
Khandelwal M, Singh TN
International Journal of Coal Geology, 79(1-2), 55, 2009 |
| 9 |
Isotherm parameters for basic dyes onto activated carbon: Comparison of linear and non-linear method
Kumar KV, Sivanesan S
Journal of Hazardous Materials, 129(1-3), 147, 2006 |
