A new multiplicative watermark detector in the contourlet domain using t location-scale distribution S Etemad, M Amirmazlaghani Pattern Recognition 77, 99-112, 2018 | 64 | 2018 |
Customer segmentation and strategy development based on user behavior analysis, RFM model and data mining techniques: a case study M Tavakoli, M Molavi, V Masoumi, M Mobini, S Etemad, R Rahmani 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE …, 2018 | 57 | 2018 |
Color texture image retrieval based on Copula multivariate modeling in the Shearlet domain S Etemad, M Amirmazlaghani Engineering Applications of Artificial Intelligence 102, 104256, 2021 | 14 | 2021 |
Additive watermark detector in contourlet domain using the t location-scale distribution S Etemad, M Amirmazlaghani 2016 2nd International Conference of Signal Processing and Intelligent …, 2016 | 14 | 2016 |
Using reinforcement learning to make smart energy storage sources in microgrid S Etemad, N Mozayani 2015 30th International Power System Conference (PSC), 345-350, 2015 | 9 | 2015 |
A new statistical detector for CT-based multiplicative image watermarking using the t location-scale distribution S Etemad, M Amirmazlaghani 2017 9th International Conference on Information and Knowledge Technology …, 2017 | 2 | 2017 |
SherVine: A graphical dependency modeling for shearlet transform and its application in image quality assessment S Etemad, M Amirmazlaghani Expert Systems with Applications 225, 120093, 2023 | 1 | 2023 |
Clustering of Urban Traffic Patterns by K-Means and Dynamic Time Warping: Case Study S Etemad, R Mosayebi, TA Khodavirdian, E Dastan, AS Telmadarreh, ... arXiv preprint arXiv:2309.09830, 2023 | | 2023 |