Künye Mühendislik Fakültesi / Faculty of Engineering için listeleme

Toplam kayıt 790, listelenen: 259-278

      Künye Göre
      Erten, C. & Sözdinler, M. (2009). A robust biclustering method based on crossing minimization in bipartite graphs. Paper presented at the , 5417, 439-440. doi:10.1007/978-3-642-00219-9_45 [1]
      Erten, C. & Sözdinler, M. (2009). Biclustering expression data based on expanding localized substructures. Paper presented at the Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5462 224-235. doi:10.1007/978-3-642-00727-9_22 [1]
      Ertopçu, B., Kanburoğlu, A. B., Topsakal, O., Açıkgöz, O., Gürkan, A. T., Özenç, B., Avar, B., Ercan, G., Çam, İ. & Yıldız, O. T. (2017). A new approach for named entity recognition. Paper presented at the 2nd International Conference on Computer Science and Engineering, UBMK 2017, 474-479. doi:10.1109/UBMK.2017.8093439 [1]
      Eskil, M. T. & Başoğlu, S. (2013). Yüz anotomisine dayalı ifade tanıma. Tübitak, 1-71. [1]
      Eskil, M. T. & Benli, K. S. (2014). Facial expression recognition based on anatomy. Computer Vision and Image Understanding, 119, 1-14. doi:10.1016/j.cviu.2013.11.002 [1]
      Eskil, M. T. & Sticklen, J. (2009). Integrating vendors into cooperative design practices. CoDesign, 5(3), 175-192. doi:10.1080/15710880902921224 [1]
      Eskil, M. T. (2014). Factored particle filtering with dependent and constrained partition dynamics for tracking deformable objects. Machine Vision and Applications, 25(7), 1825-1840. doi:10.1007/s00138-014-0634-1 [1]
      Eskil, M. T. (2021). Evrisimsel sinir ağları ile rekabetçi derin öğrenme. Tübitak. [1]
      Eskil, M. T., Sticklen, J. & Radcliffe, C. (2008). The routine design–modular distributed modeling platform for distributed routine design and simulation-based testing of distributed assemblies. AI EDAM, 22(1), 1-18. doi:10.1017/S0890060408000012 [1]
      Fatemi, M. R. H., Ateş, H. F. & Salleh, R. (2008). A cost-efficient bit-serial architecture for sub-pixel motion estimation of H.264/AVC. Paper presented at the 818-821. doi:10.1109/IIH-MSP.2008.280 [1]
      Fatemi, M. R. H., Ateş, H. F. & Salleh, R. B. (2009). A bit-serial sum of absolute difference accelerator for variable block size motion estimation of H.264. Paper presented at the 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, 1-4. doi:10.1109/CITISIA.2009.5224251 [1]
      Fatemi, M. R. H., Ateş, H. F. & Salleh, R. B. (2010). Fast algorithm analysis and bit-serial architecture design for sub-pixel motion estimation in H.264. Journal of Circuits, Systems, and Computers, 19(8), 1665-1687. doi:10.1142/S0218126610006980 [1]
      Fatemi, M. R. H., Ateş, H. F. & Salleh, R. B. (2013). A survey of algorithms and architectures for H.264 sub-pixel motion estimation. Journal of Circuits, Systems, and Computers, 21(3), 1-22. doi:10.1142/S0218126612500168 [1]
      Fatemi, M. R. H., Ateş, H. F. & Salleh, R. B. (2013). Analysis and design of low-cost bit-serial architectures for motion estimation in H.264/AVC. Journal of Signal Processing Systems, 71(2), 111-121. doi:10.1007/s11265-012-0686-2 [1]
      Fatemi, M. R. H., Salleh, R. B. & Ateş, H. F. (2007). An algorithm and its architecture for half-pixel variable block size motion estimation. Paper presented at the 2007 IEEE International Conference on Telecommunications and Malaysia International Conference on Communications, 682-685. doi:10.1109/ICTMICC.2007.4448573 [1]
      Faydasıçok, O. & Arık, S. (2013). An analysis of stability of uncertain neural networks with multiple time delays. Journal of the Franklin Institute-Engineering and Applied Mathematics, 350(7), 1808-1826. doi:10.1016/j.jfranklin.2013.05.006 [1]
      Faydasıçok, Ö. & Arık, S. (2012). Equilibrium and stability analysis of delayed neural networks under parameter uncertainties. Applied Mathematics and Computation, 218(12), 6716-6726. doi:10.1016/j.amc.2011.12.036 [1]
      Faydasıçok, Ö. & Arık, S. (2012). Further analysis of global robust stability of neural networks with multiple time delays. Journal of The Franklin Institute-Engineering and Applied Mathematics, 349(3), 813-825. doi:10.1016/j.jfranklin.2011.11.007 [1]
      Faydasıçok, Ö. & Arık, S. (2012). Robust stability analysis of a class of neural networks with discrete time delays. Neural Networks, 29-30, 52-59. doi:10.1016/j.neunet.2012.02.001 [1]
      Faydasıçok, Ö. & Arık, S. (2013). A new robust stability criterion for dynamical neural networks with multiple time delays. Neurocomputing, 99, 290-297. doi:10.1016/j.neucom.2012.07.004 [1]