| Application of extreme learning machine for short term output power forecasting of three grid-connected PV systems M Hossain, S Mekhilef, M Danesh, L Olatomiwa, S Shamshirband journal of Cleaner Production 167, 395-405, 2017 | 279 | 2017 |
| Effect of river flow on the quality of estuarine and coastal waters using machine learning models MJ Alizadeh, MR Kavianpour, M Danesh, J Adolf, S Shamshirband, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 810-823, 2018 | 221 | 2018 |
| A comparison of the performance of some extreme learning machine empirical models for predicting daily horizontal diffuse solar radiation in a region of southern Iran SHH Nazhad, MM Lotfinejad, M Danesh, RU Amin, S Shamshirband Int. J. Remote Sens 38 (23), 6894-6909, 2017 | 25 | 2017 |
| A novel user profile-based fuzzy approach for evaluating trust in semantic web S ASHTARI, M DANESH IIUM Engineering Journal 20 (1), 158-176, 2019 | 18 | 2019 |
| Data clustering based on an efficient hybrid of K-harmonic means, PSO and GA M Danesh, M Naghibzadeh, MRA Totonchi, M Danesh, B Minaei, ... Transactions on computational collective intelligence IV, 125-140, 2011 | 14 | 2011 |
| A novel hybrid knowledge of firefly and pso swarm intelligence algorithms for efficient data clustering M Danesh, H Shirgahi Journal of Intelligent & Fuzzy Systems 33 (6), 3529-3538, 2017 | 12 | 2017 |
| A comparison of the performance of some extreme learning machine empirical models for predicting daily horizontal diffuse solar radiation in a region of southern Iran SH Hosseini Nazhad, MM Lotfinejad, M Danesh Int J Remote Sens 38, 6894-6909, 2017 | 9* | 2017 |
| DGCU: A new deep directed method based on Gaussian embedding for clustering uncertain graphs M Danesh, M Dorrigiv, F Yaghmaee Computers and Electrical Engineering 101, 108066, 2022 | 7 | 2022 |
| Ensemble-based clustering of large probabilistic graphs using neighborhood and distance metric learning M Danesh, M Dorrigiv, F Yaghmaee The Journal of Supercomputing 77 (4), 4107-4134, 2021 | 7 | 2021 |
| A comparative assessment of machine learning and deep learning models for the daily river streamflow forecasting M Danesh, A Gharehbaghi, S Mehdizadeh, A Danesh Water Resources Management, 1-20, 2024 | 5 | 2024 |
| Text document clustering using semantic neighbors M Danesh, H Shirgahi Journal of Software Engineering 5 (4), 136-144, 2011 | 4 | 2011 |
| A survey of clustering large probabilistic graphs: Techniques, evaluations, and applications M Danesh, M Dorrigiv, F Yaghmaee Expert Systems, e13248, 2023 | 1 | 2023 |
| Fuzzy discrete correlation for document clustering M Danesh, M Naghibzadeh, A Harati 2011 International Symposium on Artificial Intelligence and Signal …, 2011 | 1 | 2011 |
| Grid resource selection optimization with guarantee quality of service by hybrid of genetic and Simulated Annealing algorithms H Shirgahi, M Danesh, N Danesh World Congress on Engineering 2012. July 4-6, 2012. London, UK. 2187, 1104-1108, 2010 | 1 | 2010 |
| Improving multiplication and reminder using implementation based on word and index N Danesh, M Danesh, H Shirgahi Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in …, 2010 | 1 | 2010 |
| Deep image clustering using ensemble learning and multiple features of deep neural networks M Danesh, M Nikooseresht Journal of Machine Vision and Image Processing 11 (1), 1-12, 2024 | | 2024 |
| Uncertain graph clustering using homogeneous attributes M Danesh 5th International Conference on Software Computing, 2024 | | 2024 |
| Deep Embedding Approach for Uncertain Graph Clustering M Danesh, M Dorrigiv, F Yaghmaee 26th International Computer Conference, Computer Society of Iran, 2021 | | 2021 |
Morteza DorrigivAssistant Professor of Computer Engineering, Semnan UniversityBestätigte E-Mail-Adresse bei semnan.ac.ir
