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Davoud Gholamiangonabadi
Davoud Gholamiangonabadi
Ph.D. Candidate in Department of Electrical and Computer Engineering, Western University
在 uwo.ca 的电子邮件经过验证 - 首页
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引用次数
引用次数
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Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection
D Gholamiangonabadi, N Kiselov, K Grolinger
Ieee Access 8, 133982-133994, 2020
1222020
A Case Study of Fintech Industry: A Two-Stage Clustering Analysis for Customer Segmentation in the B2B Setting
A Sheikh, T Ghanbarpour, D Gholamiangonabadi
Journal of Business-to-Business Marketing, 2019
452019
Investigating the performance of technical indicators in electrical industry in Tehran's Stock Exchange using hybrid methods of SRA, PCA and Neural Networks
D Gholamiangonabadi, SDM Taheri, A Mohammadi, MB Menhaj
2014 5th Conference on Thermal Power Plants (CTPP), 75-82, 2014
252014
Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants
NS Gharneh, A Nabavieh, D Gholamiangonabadi, M Alimoradi
Utilities Policy 31, 114-120, 2014
212014
Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants
A Nabavieh, D Gholamiangonabadi, AA Ahangaran
Energy Economics 52, 142-150, 2015
182015
Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing
D Gholamiangonabadi, K Grolinger
Applied Intelligence 53 (5), 6041-6061, 2023
162023
Customer Churn Prediction Using a Meta-Classifier Approach; A Case Study of Iranian Banking Industry
D Gholamiangonabadi, S Nakhodchi, A Jalalimanesh, A Shahi
International Conference on Industrial Engineering and Operations Management, 2019
92019
Customer Churn Prediction Using a New Criterion and Data Mining; A Case Study of Iranian Banking Industry
D Gholamiangonabadi, J Shahrabi, SM Hosseinioun, S Nakhodchi, ...
International Conference on Industrial Engineering and Operations Management, 2019
92019
Assessing productivity changes using the bootstrapped Malmquist index: the case study of the Iranian construction industry
A Nabavieh, KM Cyrus, D Gholamiangonabadi, S Gholamveisy
International Conference on Industrial Engineering and Operations Management, 2019
52019
Measurement of productivity changes by bootstrapping Malmquist in combined cycle power plants
AA Ahnagaran, SA Nabavieh, SDM Taheri, D Gholamiangonabadi
2014 5th Conference on Thermal Power Plants (CTPP), 83-88, 2014
32014
Gene selection from microarray expression data: A Multi-objective PSO with adaptive K-nearest neighborhood
Y Kowsari, S Nakhodchi, D Gholamiangonabadi
arXiv preprint arXiv:2205.15020, 2022
22022
Deep Neural Networks For Human Activity Recognition With Wearable Sensors
D Gholamiangonabadi
The University of Western Ontario (Canada), 2021
2021
Optimal Site Selection of an Electrical Power Station in Iran Using Heuristical Computational Algorithms
D Gholamiangonabadi, M Alimoradi, A Mohammadi, J Shahrabi
2015
Investigating Performance and Quality in Electronic Industry via Data Mining Techniques
D GholamianGonabadi, SM Hosseinioun, J Shahrabi, M AliMoradi
2015
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