Navid Moghadamnejad - Google Scholar

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Citations	154	154
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Co-authors

Chelsea DobbinsThe University of QueenslandVerified email at uq.edu.au
Ehsan JavaheriDoctor of EngineeringVerified email at campus.tu-berlin.de
Elaheh MomeniUniversity of Applied Science Technikum WienVerified email at technikum-wien.at
Alireza JavaheriIndependentVerified email at ementalist.ai
Hamidreza KeshavarzIndependent ResearcherVerified email at modares.ac.ir
Reza RawassizadehAssociate Professor, Boston UniversityVerified email at bu.edu

Navid Moghadamnejad

Navid Moghadamnejad

Independent

Verified email at segula.fr

Machine Learning Neural Network Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Federated deep learning for anomaly detection in the internet of things X Wang, Y Wang, Z Javaheri, L Almutairi, N Moghadamnejad, OS Younes Computers and Electrical Engineering 108, 108651, 2023	56	2023
Machine learning optimization model for reducing the electricity loads in residential energy forecasting B Wang, X Wang, N Wang, Z Javaheri, N Moghadamnejad, M Abedi Sustainable Computing: Informatics and Systems 38, 100876, 2023	38	2023
Public vs media opinion on robots and their evolution over recent years A Javaheri, N Moghadamnejad, H Keshavarz, E Javaheri, C Dobbins, ... CCF Transactions on Pervasive Computing and Interaction 2, 189-205, 2020	34*	2020
Reducing the consumption of household systems using hybrid deep learning techniques H Ma, L Xu, Z Javaheri, N Moghadamnejad, M Abedi Sustainable Computing: Informatics and Systems 38, 100874, 2023	26	2023

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