1 |
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks-Part I: Single-Layer Dynamics and Selective Inhibition Nozari E, Cortes J IEEE Transactions on Automatic Control, 66(3), 949, 2021 |
2 |
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks Part II: Multilayer Dynamics and Top-Down Recruitment Nozari E, Cortes J IEEE Transactions on Automatic Control, 66(3), 965, 2021 |
3 |
All in One: A Comprehensive Goal and Indicator System for Smart Bioenergy Szarka N, Schmid C, Pfeiffer D, Thran D Chemical Engineering & Technology, 43(8), 1554, 2020 |
4 |
Sustainable personnel scheduling supported by an artificial neural network model in a natural gas combined cycle power plant Ozder EH, Ozcan E, Eren T International Journal of Energy Research, 44(9), 7525, 2020 |
5 |
Decarbonization of China's transportation sector: In light of national mitigation toward the Paris Agreement goals Pan XZ, Wang HL, Wang LN, Chen WY Energy, 155, 853, 2018 |
6 |
Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology Karatas M, Sulukan E, Karacan I Energy, 153, 890, 2018 |
7 |
Offshore risk regulation: A comparative analysis of regulatory framework in Ghana, the United Kingdom and Norway Acheampong T, Akumperigya R Energy Policy, 113, 701, 2018 |
8 |
Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach Hocine A, Kouaissah N, Bettahar S, Benbouziane M Renewable Energy, 129, 540, 2018 |
9 |
A multi-objective decision-making approach for sustainable energy investment planning Ervural BC, Evren R, Delen D Renewable Energy, 126, 387, 2018 |
10 |
A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries Jayaraman R, Colapinto C, La Torre D, Malik T Applied Energy, 185, 1931, 2017 |