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Pattern Classification by Spiking Neural Networks Combining Self-Organized and Reward-Related Spike-Timing-Dependent Plasticity

, Chaos may enhance information transmission in the inferior olive, Proceedings of the National Academy of Sciences, vol. 101, no. 13, pp. 4655–4660, 2004. [5] J. Mejias and A. Longtin, Optimal heterogeneity for coding in spiking neural networks, Physical Review Letters, vol. 108, no. 22, 228102, 2012. [6] N. Hiratani, J.-N. Teramae, and T. Fukai, Associative memory model with long-tail-distributed hebbian synaptic connections, Frontiers in computational neuroscience, vol. 6, 102, 2013. [7] S. Nobukawa and H. Nishimura, Chaotic resonance in coupled

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Collision-Free Autonomous Robot Navigation in Unknown Environments Utilizing PSO for Path Planning

autonomous agents. In Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages, ECAI ’96, pages 21–35, London, UK, UK, 1997. Springer-Verlag. [12] Avinash Gautam and Sudeept Mohan. A review of research in multi-robot systems. 08 2012. [13] C. Georgoulas, T. Linner, A. Kasatkin, and T. Bock. An ami environment implementation: Embedding turtlebot into a novel robotic service wall. In ROBOTIK 2012; 7th German Conference on Robotics, pages 1–6, May 2012. [14] S. Ghosh, P. K. Panigrahi, and D. R. Parhi. Analysis of

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Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU

.02737, 2017. [13] W. Chan, N. Jaitly, Q. V. Le, O. Vinyals, Listen, attend and spell. arXiv preprint arXiv:1508.01211, 2015. [14] T. Mikolov, Statistical language models based on neural networks, PhD thesis, Brno University of Technology, 2012. [15] W. Zaremba, I. Sutskever, O. Vinyals, Recurrent neural network regularization. arXiv preprint arXiv:1409.2329, 2014. [16] I. Sutskever, O. Vinyals, Q. V. Le, Sequence to sequence learning with neural networks. Advances in Neural Information Processing Systems, 3104-3112, 2014. [17] F. A. Gers, E

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Detecting Driver’s Fatigue, Distraction and Activity Using a Non-Intrusive Ai-Based Monitoring System

, 2015, pp. 108–117. [12] A. Amditis, L. Andreone, K. Pagle, G. Markkula, E. Deregibus, M. Romera Rue, F. Bellotti, A. Engelsberg, R. Brouwer, B. Peters, and A. De Gloria, Towards the Automotive HMI of the Future: Overview of the AIDE-Integrated Project Results, IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 3, pp. 567–578, Sept. 2010. [13] Q. He, W. Li, X. Fan, and Z. Fei, Evaluation of driver fatigue with multi-indicators based on artificial neural network, IET Intelligent Transport Systems, vol. 10, no. 8, pp. 555–561, 2016

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Decision-Making Enhancement in a Big Data Environment: Application of the K-Means Algorithm to Mixed Data

References [1] Ahmed Abbasi, Suprateek Sarker, and Roger HL Chiang. Big data research in information systems: Toward an inclusive research agenda. Journal of the Association for Information Systems, 17(2):I, 2016. [2] Ritu Agarwal and Vasant Dhar. Big data, data science, and analytics: The opportunity and challenge for is research. Information Systems Research, 25(3):443–448, 2014. [3] Amir Ahmad and Lipika Dey. A k-mean clustering algorithm for mixed numeric and categorical data. Data & Knowledge Engineering, 63(2):503–527, 2007. [4

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A Simple Insulated Monopole Sensor Technique for Determination of Moisture Content in Hevea Rubber Latex

GmbH &Co., Germany. [13] Ali, A.H., Abbas, Z., Hassan, J., Jusoh, A., Zahari, R.M. (2011). Microwave antenna sensing technique for determination of moisture content in hevea latex. Australian Journal of Crop Science , 5 (11), 1326-1333. [14] King, R.W.P., Lee, K.M., Glenn, S.S. (1974). Insulated linear antenna: Theory and experiment. Journal of Applied Physics , 45 (4), 1688-1697. [15] Jumiah, H., Khalid, K., Daud, W.M. (1997). Microwave dielectric properties of hevea rubber latex in the temperature range of -30°C to

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Synthesis and Transport Properties of Nanostructured VO2 by Mechanochemical Processing

-nochemical processing. Powder Technol. , 191 (3), 235-239. Trudeau, M. L., Schulz, R., Dussault, D., Van Neste, A. (1990). Structural changes during high-energy ball milling of iron-based amorphous alloys: Is high-energy ball milling equivalent to a thermal process? Phys. Rev. Lett. , 64 (1), 99-102. Koch, C. C. (1997). Synthesis of nanostructured materials by mechanical milling: Problems and opportunities. Nanostruc. Mater. , 9 (1-8), 13-22. Huang, B., Perez, R. J., Crawford, P. J., Sharif, A. A., Nutt

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Pseudorandom Dynamic Test Power Signal Modeling and Electrical Energy Compressive Measurement Algorithm

). Reduced-Order load models for large populations of flexible appliances. IEEE Transactions on Power Systems, 30 (4), 1758-1774. [36] Kabalci, E., Kabalci, Y. (2013). A measurement and power line communication system design for renewable smart grids. Measurement Science Review, 13 (5), 248-252. [37] Duy, T.N. (2015). Modeling load uncertainty in distribution network monitoring. IEEE Transactions on Power Systems, 30 (5), 2321-2328. [38] Petersen, H.M., Koch, R.G., Swart, P.H., Heerden, R.V. (1995). Modeling arc furnace

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Measuring the Flexural Strength of Ceramics at Elevated Temperatures – An Uncertainty Analysis

. Sklář a keramik, 28 (10), 301-308. (in Czech) [7] Netzch-Geratebau GmBH. Betriebsanleitung 10.68 402.E. (in German) [8] Štubňa, I., Trnik, A., Vozar, L. (2007). Thermomechanical analysis of quartz porcelain in temperature cycles. Ceramics International, 33 (7), 1287-1291. [9] Freund, F. (1967). Kaolinite-metakaolinite, a model of a solid with extremely high lattice defect concentration. Berichte Deutsche Keramische Geselschaft, 44 (N4), 5-13. (in German) [10] Štubňa, I., Kozik, T. (1997). Permeability of

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Quality of One-channel Telemetric ECG Sensor Signal in Maximum Exercise Stress Tests

., Narayanan, K., Jouven, X., Gunson, K., Jui, J., Chugh, S.S. (2015). Sudden cardiac arrest during sports activity in middle age. Circulation , 131, 1384-1391. [12] Chandra, N., Bastiaenen, R., Papadakis, M., Sharma, S. (2013). Sudden cardiac death in young athletes. Practical challenges and diagnostic dilemmas. Journal of the American College of Cardiology , 61, 1027-1040. [13] Corrado, D., Schmied, C., Basso, C., Borjesson, M., Schiavon, M., Pelliccia, A., Vanhees, L., Thiene, G. (2011). Risk of sports: Do we need a pre-participation screening for

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