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Time of the last modification database: 2018-05-17 15:59:30
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  1. Ponce, E., Ros, J., Vela, E., The boundary focus–saddle bifurcation in planar piecewise linear systems. Application to the analysis of memristor oscillators. Nonlinear Analysis: Real World Applications, vol.43, pp.495–514, October 2018.
  2. Gul, F., Babacan, Y., A novel OTA-based circuit model corroborated by an experimental semiconductor memristor. Microelectronic Engineering, vol.194, pp.56-60, 5th July 2018.
  3. Singh, J., Raj, B., Comparative analysis of memristor models and memories design. Journal of Semiconductors, vol.39, no.7, pp.1-12, July 2018.
  4. Babacan, Y., Uzunoglu, C.P., Cekli, S., Kaçar, F., Ugur, M., Wavelet analysis of a memristor emulated model proposed for compact fluorescent lamp operated systems. Electric Power Systems Research, vol.160, pp.56-62, July 2018.
  5. Yeşil, A., A new grounded memristor emulator based on MOSFET-C. AEU - International Journal of Electronics and Communications, pp.143-149, June 2018.
  6. Anusudha, T.A., Prabaharan, S.R.S., A Versatile Window Function for Linear Ion Drift Memristor Model–A New Approach. AEU - International Journal of Electronics and Communications, vol.90, pp.130–139, June 2018.
  7. Fozin Fonzin, T., Srinivasan, K., Kengne, J., Pelap, F.B., Coexisting bifurcations in a memristive hyperchaotic oscillator. AEU - International Journal of Electronics and Communications, vol.90, pp.110-122, June 2018.
  8. Ahmed, T., Walia, S., Mayes, E.L.H., Ramanathan, R., Guagliardo, P., Bansal, V., Yang, J.J., Bhaskaran, M., Sriram, S., Inducing tunable switching behavior in a single memristor. Applied Materials Today, pp.280–290, June 2018.
  9. Zheng, M., Li, L., Peng, H., Zhang, Y., Yang, Y., Xiao, J., Zhao, H., Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks. Communications in Nonlinear Science and Numerical Simulation, vol.59, pp.272–291, June 2018.
  10. Serb, A., Papandroulidakis, G., Khiat, A., Prodromakis, T., Processing big-data with Memristive Technologies: Splitting the Hyperplane Efficiently. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  11. Zyarah, A.M., Soures, N., Kudithipudi, D., On-Device Learning in Memristor Spiking Neural Networks. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  12. Buscarino, A., Corradino, C., Fortuna, L., Chua, L.O., Role of diversity in taming chaos in driven memristive arrays. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  13. Menzel, S., Siemon, A., Ascoli, A., Tetzlaff, R., Requirements and Challenges for Modelling Redox-based Memristive Devices. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  14. Nandakumar, S.R., Le Gallo, M., Boybat, I., Rajendran, B., Sebastian, A., Eleftheriou, E., Mixed-precision architecture based on computational memory for training deep neural networks. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  15. Lupo, N., Bonizzoni, E., Pérez, E., Wenger, C., Maloberti, F., An Approximated Verilog-A Model for Memristive Devices. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  16. Ascoli, A., Baumann, D., Tetzlaff, R., Chua, L.O., Hild, M., Mem-adaptive computing—Part II: Circuit design. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-6, 27th May 2018.
  17. Krestinskaya, O., Salama, K.N., James, A.P., Analog Backpropagation Learning Circuits for Memristive Crossbar Neural Networks. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  18. Mladenov, V., Kirilov, S., A Memristor Model with a Modified Window Function and Activation Thresholds. International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  19. Serb, A., Prodromakis, T., High-sensitivity memristor-based threshold detection. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-4, 27th May 2018.
  20. Elbtity, M.E., Radwan, A.G., Small Area and Low Power Hybrid CMOS-Memristor Based FIFO for NoC. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  21. Abbey, T., Serb, A., Vasilakis, N., Michalas, L., Khiat, A., Stathopoulos, S., Prodromakis, T., An Embedded Environmental Control Micro-chamber System for RRAM Memristor Characterisation. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-4, 27th May 2018.
  22. Al Chawa, M.M., de Benito, C., Roca, M., Picos, R., Stavrinides, S.G., Design and implementation of passive memristor emulators using a charge-flux approach. IEEE International Symposium on Circuits and Systems, pp.1-5, 27th May 2018.
  23. Ntinas, V., Vourkas, I., Sirakoulis, G.C., Adamatzky, A., Rubio, A., Coupled Physarum-Inspired Memristor Oscillators for Neuron-like Operations. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
  24. Caí, F., Lu, W.D., Feature extraction and analysis using memristor networks. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-4, 27th May 2018.
  25. Hamed, E.M., Fouda, M.E., Radwan, A.G., Conditions and Emulation of Double Pinch-off Points in Fractional-order Memristor. IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 27th May 2018.
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] ... [154] >>

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