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Evaluation of Hot-Mix Asphalt Containing Portland Cement Treated Blast Furnace Slag

& Design 74: 157–63, 2015. . 13. S. Du, “Performance characteristic of cold recycled mixture with asphalt emulsion and chemical additives”, Advances in Materials Science and Engineering 2015: 1-10, 2015. . 14. D. Lesueur, A. Teixeira, M. M. Lázaro, D. Andaluz, A. Ruiz, “A simple test method in order to assess the effect of mineral fillers on bitumen ageing”, Construction and Building Materials 117: 182-189, 2016. . 15

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

recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555, 2014. [10] TED-LIUM Corpus, , last retrieved July 2017. [11] C. C. Chiu, D. Lawson, Y. Luo, G.Tucker, K. Swersky, I. Sutskever, N. Jaitly, An online sequence-to-sequence model for noisy speech recognition, arXiv preprint arXiv:1706.06428, 2017. [12] T. Hori, S. Watanabe, Y. Zhang, W. Chan, Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM, arXiv preprint arXiv:1706

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Risk of Emergency Situations of Underground Objects in the Perspective of Multi-Criteria Decision Making

REFERENCES 1. B. Ambroża-Urbanek, Rozdzielność sieci – szanse i nowe trendy w kanalizacji. Dyskusja z Nalaskowskim J. i Dziopakiem J. Nowoczesne Budownictwo Inżynieryjne. 2010, Nr 1-2, s. 68-71. 2. M. B. Baefod and S. Leleur, “Scaling Transformation in the Rembrandt Technique: Examination of the Progression Factors,” Int. J. Inf. Technol. Decis. Mak., vol. 12, no. 05, pp. 887–903, 2013. 3. V.N.Beskopylny, V.V.Rishtovsky, V.M.Gromyko, Complex technology of operative geological-geophysical support of wells sinking Neftyanoe khozyaystvo - Oil

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Quantitative Identification of Construction Risk

References 1. Batselier J., Vanhoucke M., Construction and evaluation framework for a real-life project database. International Journal of Project Management 33 (2015), 697-710. 2. Hajdu M., Effects of the application of activity calendars on the distribution of project duration in PERT networks. Automation in Construction (2013).,Elsevier.AUTCON-01598. 3. Hajdu M., Bokor O., Sensitivity analysis in PERT networks: Does activity duration distribution matter

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The Lateral Buckling of Simply Supported Unrestrained Bisymetric I-Shape Beams

Constructional Steel Research 59: 63-90, 2003. 5. P.A. Kirby, D.A. Nethercot, “Design for structural stability”, Granada Publishing, Suffolk, 1979. 6. American Institute of Steel Construction (AISC), “ANSI/AISC 360-05 specification for structural buildings”, Chicago, USA, 2005. 7. N.S . Trahair, M.A. Bradford, D.A. Nethercot, L. Gardner, “The behaviour and design of steel structures to EC3”, Furth edition, Taylor & Francis, London and New York, 2008. 8. Standards Australia (SA), “Steel structures. AS 4100”, Sydney

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Quantitative Assessment of Construction Risk

of risk management in large-scale construction projects. Automation in Construction 34 (2013) 56-66. [4] Hajdu M., Bokor O., Sensitivity analysis in PERT networks: Does activity duration distribution matter? Automation in Construction 65 (2016). 1-8. [5] Hajdu M., Effects of the application of activity calendars on the distribution of project duration in PERT networks. Automation in Construction (2013)., Elsevier. [6] Konior J., Enterprise’s risk assessment of complex

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Experimental Measurement of Nanolayers via Electromagnetic, Near Infrared, and Gamma Radiation

, 23 (4). doi: 10.1109/JSTQE.2016.2615946. [11] J.Y. Deng, K.F. Dong, Y.G. Peng, G. Ju, J. Hu, G.M. Chow, J.S. Chen. (2016). Effect of TiON–MgO intermediate layer on microstructure and magnetic properties of L10 FePt–C–SiO2 films. Journal of Magnetism and Magnetic Materials , 417, 203-207. doi: 10.1016/j.jmmm.2016.05.096. [12] Y. Chen, H. Sun, W. Peng. (2017). 2D transition metal dichalcogenides and graphene-based ternary composites for photocatalytic hydrogen evolution and pollutants degradation. Nanomaterials , 7, 62. doi:10. 3390/nano7030062

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Solution of Linear and Non-Linear Boundary Value Problems Using Population-Distributed Parallel Differential Evolution

.1115/ICONE25-67936 [6] Zaharie, D. and Petcu, D., 2005, Parallel implementation of multi-population differential evolution, Proc. of the NATO Advanced Research Workshop on Concurrent information processing and computing, Nicolau, A. and Grigoras, D., eds., Sinaia, Romania, pp. 223-232. [7] Ge, Y.F., Yu, W.J. and Zhang, J., 2016, Diversity-Based Multi-Population Differential Evolution for Large-Scale Optimization, Proc. of the 2016 on Genetic and Evolutionary Computation Conference Companion, Denver, Colorado, USA, pp. 31-32. DOI: 10

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A Fast-Multi-Channel Sub-Millikelvin Precision Resistance Thermometer Readout Based on the Round-Robin Structure

World Congress, Dubrovnik, Croatia, 1594-1597. [10] White, D.R., Williams, J.M., Ramsey I.E. (1997). A simple resistance network for the calibration of resistance bridges. IEEE Transactions on Instrumentation and Measurement, 42 (5), 1068-1074. [11] White, D.R., Clarkson, M.T., Saunders, P., Yoon, H. (2008). A general technique for calibrating indicating instruments. Metrologia, 45, 199-210. [12] Analog Devices, Inc. (2015-2016). 32-bit, 10 kSPS, Sigma-Delta ADC with 100 μs settling and true rail-torail buffers. Data

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Investigating the Effect of the Number of End-Panel Studs on the Seismic Properties of Cold-Formed Light-Steel Shear-Panel Braces

Framing Alliance. 9. AISI, Performance of cold-formed steel-framed shear walls: Alternative configurations Research report RP 02-7. 2002, REVISION 2006, Steel Framing Alliance: Washington, D.C. 10. AISI, Code of standard practice for cold-formed steel structural framing, Practice guide CF06-1. 2006, American Iron and Steel Institute: Washington, D.C. 11. ASCE7-05, ASCE 7-05 Minimum design loads for buildings and other structures. 2005, ASCE: USA. 12. FEMA-450, NEHRP recommended provisions for seismic

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