| 1 |
Black tea classification employing feature fusion of E-Nose and E-Tongue responses
Banerjee MB, Roy RB, Tudu B, Bandyopadhyay R, Bhattacharyya N
Journal of Food Engineering, 244, 55, 2019 |
| 2 |
Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis
Jimenez AA, Marquez FPG, Moraleda VB, Munoz CQG
Renewable Energy, 132, 1034, 2019 |
| 3 |
Influence of the Paddle Geometry on the Fluid Flow and Particle Movement of a Deflector Wheel Separator
Spotter C, Legenhausen K, Weber AP
Chemie Ingenieur Technik, 90(4), 493, 2018 |
| 4 |
Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection
Soldevila A, Blesa J, Tornil-Sin S, Fernandez-Canti RM, Puig V
Computers & Chemical Engineering, 108, 152, 2018 |
| 5 |
Early fault detection and diagnosis in bearings for more efficient operation of rotating machinery
Brkovic A, Gajic D, Gligorijevic J, Savic-Gajic I, Georgieva O, Di Gennaro S
Energy, 136, 63, 2017 |
| 6 |
The application of Bayesian network classifiers to cloud classification in satellite images
Alonso-Montesinos J, Martinez-Durban M, del Sagrado J, del Aguila IM, Batlles FJ
Renewable Energy, 97, 155, 2016 |
| 7 |
A short review on hydraulic classification and its development in mineral industry
Tripathy SK, Bhoja SK, Kumar CR, Suresh N
Powder Technology, 270, 205, 2015 |
| 8 |
Integrated design of optimal supervisors for the enforcement of static and behavioral specifications in Petri net models
Basile F, Cordone R, Piroddi L
Automatica, 49(11), 3432, 2013 |
| 9 |
Non-iterative phase stability calculations for process simulation using discriminating functions
Gaganis V, Varotsis N
Fluid Phase Equilibria, 314, 69, 2012 |
| 10 |
Prediction of functionally important sites from protein sequences using sparse kernel least squares classifiers
Tang K, Pugalenthi G, Suganthan PN, Lanczycki CJ, Chakrabarti S
Biochemical and Biophysical Research Communications, 384(2), 155, 2009 |
