Yield Maximization of Flip-Flop Circuits Based on Deep Neural Network and Polyhedral Estimation of Nonlinear Constraints

Autor: Sayed Alireza Sajjadi, Sayed Alireza Sadrossadat, Ali Moftakharzadeh, Morteza Nabavi, Mohamad Sawan

Publikováno v: IEEE Access, Vol 12, Pp 113944-113959 (2024)

In this paper, we propose a method based on deep neural networks for the statistical design of flip-flops, taking into account nonlinear performance constraints. Flip-flop design and manufacturing are influenced by random variations in the technologi

Externí odkaz: https://doaj.org/article/2bbeab0115fa470ea14ec7bf132bd1d9

Modeling and implementation of a novel active voltage balancing circuit using deep recurrent neural network with dropout regularization

Autor: Mostafa Noohi, Amin Faraji, Sayed Alireza Sadrossadat, Ali Mirvakili, Ali Moftakharzadeh

Publikováno v: International Journal of Circuit Theory and Applications. 51:2351-2374

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::197955aaf3debe63d443bb23f9d76b71
https://doi.org/10.1002/cta.3485

Wind and solar energy utilization for seawater desalination and hydrogen production in the coastal areas of southern Iran

Autor: Ali Moftakharzadeh, Nafiseh Naghdi-Khozani, Ali Mostafaeipour, Niloofar Jafari, Mostafa Rezaei

Publikováno v: Journal of Engineering, Design and Technology. 18:1951-1969

PurposeAcute shortage of potable water and energy supplies is expected to raise in developing countries in the near future. One solid way to address these issues is to exploit renewable energy resources efficiently. Hence, this study aims to investig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::debbdbe26883dcc03439feeb9850647d
https://doi.org/10.1108/jedt-06-2019-0154

Evaluation of hydrogen production by wind energy for agricultural and industrial sectors

Autor: Mojtaba Qolipour, Malikeh Salimi, Ali Mostafaeipour, Ali Moftakharzadeh, Mostafa Rezaei

Publikováno v: International Journal of Hydrogen Energy. 44:7983-7995

Wind power potential by itself is not a good indicator of the suitability of a region for wind power generation for different purposes. Economic attractiveness is a better indicator in this regard as it stimulates the involvement of private businesse

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1f9015bfc736d0c3213c4d2c083e17cf
https://doi.org/10.1016/j.ijhydene.2019.02.047

Modified linear in dB, sub 0.2 dB gain-step CMOS programmable gain amplifier for ultrasound applications

Autor: Yarallah Koolivand, Yasser Rezaeiyan, Omid Shoaei, Shahin Jafarabadi-Ashtiani, Ali Moftakharzadeh, Mohsen Ahmadvand

Publikováno v: Koolivand, Y, Rezaeiyan, Y, Shoaei, O, Jafarabadi-Ashtiani, S, Moftakharzadeh, A & Ahmadvand, M 2019, ' Modified linear in dB, sub 0.2 dB gain-step CMOS programmable gain amplifier for ultrasound applications ', Analog Integrated Circuits and Signal Processing, vol. 99, pp. 497–508 . https://doi.org/10.1007/s10470-019-01408-y

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47017cdfb6681433f9f0e113e87c7c92
https://pure.au.dk/portal/da/publications/modified-linear-in-db-sub-02-db-gainstep-cmos-programmable-gain-amplifier-for-ultrasound-applications(9754ca17-44fc-4608-badf-12e95253c0b6).html