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Mehdi Salmani Jelodar
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2010 – 2019
- 2014
- [b1]Mehdi Salmani Jelodar:
Scaling Issues and Solutions in Ultra Scaled MOSFETs using Predictive Modeling. Purdue University, USA, 2014 - [c11]Mustafa Badaroglu, Kwok Ng, Mehdi Salmani Jelodar, SungGeun Kim, Gerhard Klimeck
, Chorng-Ping Chang, Charles Cheung, Yuzo Fukuzaki:
More Moore landscape for system readiness - ITRS2.0 requirements. ICCD 2014: 147-152 - 2011
- [c10]Mehdi Salmani Jelodar, Sebastian Steiger, Abhijeet Paul, Gerhard Klimeck
Model development for lattice properties of gallium arsenide using parallel genetic algorithm. IEEE Congress on Evolutionary Computation 2011: 2429-2435
2000 – 2009
- 2007
- [c9]Mehdi Kamal, Mehdi Salmani Jelodar, Shaahin Hessabi:
GABIST: A New Methodology to Find near Optimal LFSR for BIST Structure. ICECS 2007: 1107-1110 - 2006
- [c8]Kiarash Mizanian, Mehdi Salmani Jelodar, Amir Aavani, Morteza Analoui
A New Adaptive Transport Protocol for Web. CCECE 2006: 1830-1833 - [c7]Mehdi Salmani Jelodar, Kiarash Mizanian:
Power Aware Scan-Based Testing using Genetic Algorithm. CCECE 2006: 1905-1908 - [c6]Mehdi Salmani Jelodar, S. Najmeh Fakhraie, Faezeh Montazeri, Sied Mehdi Fakhraie, Majid Nili Ahmadabadi:
A Representation for Genetic-Algorithm-Based Multiprocessor Task Scheduling. IEEE Congress on Evolutionary Computation 2006: 340-347 - [c5]Mehdi Salmani Jelodar, Mehdi Kamal, Sied Mehdi Fakhraie, Majid Nili Ahmadabadi:
SOPC-Based Parallel Genetic Algorithm. IEEE Congress on Evolutionary Computation 2006: 2800-2806 - [c4]Faezeh Montazeri, Mehdi Salmani Jelodar, S. Najmeh Fakhraie, Seid Mehdi Fakhraie:
Evolutionary Multiprocessor Task Scheduling. PARELEC 2006: 68-76 - [c3]Amin Farmahini Farahani, Mehdi Kamal, Mehdi Salmani Jelodar:
Parallel-Genetic-Algorithm-Based HW/SW Partitioning. PARELEC 2006: 337-342 - 2005
- [c2]Mehdi Salmani Jelodar, Mohammad Javad Fadaeieslam, Nasser Mozayani, Mahlagha Fazeli:
A Persian OCR System Using Morphological Operators. WEC (2) 2005: 137-140 - 2004
- [c1]Mehdi Salmani Jelodar, Seid Mehdi Fakhraie, Majid Nili Ahmadabadi:
A New Approach for Training of Artificial Neural Networks using Population Based Incremental Learning (PBIL). International Conference on Computational Intelligence 2004: 165-168
Coauthor Index
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