Open Access
Issue |
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
|
|
---|---|---|
Article Number | 01086 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202018401086 | |
Published online | 19 August 2020 |
- Gupta, A.K., Singh, S.K., Reddy, S., Hariharan, G. Prediction of flow stress in dynamic strain aging regime of austenitic stainless steel 316 using artificial neural network. Materials and Design, 35, pp. 589-595. Cited 52 times (2012) [Google Scholar]
- Jaoquin cameras, Trinidad Sanchez, Juan Antonio, Gomez-galan, Hector Cifuentes and Ramon Gonzalez, “Compact embedded wireless sensor-based monitoring of concrete curing”, Multidisciplinary digital publishing Institute, MDPI, (2018). [Google Scholar]
- Kanchan Ambekar and Gandhare K.U “Developing a new curing technique-’Drip curing’”, International Journal for Research in applied science and Engineering technology, IJRASET, Volume 05, Issue 07, (2017). [Google Scholar]
- Nayak, P., Devulapalli, A. A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime. IEEE Sensors Journal, 16 (1), art. no. 7222367, pp. 137-144. Cited 213 times. (2016). [Google Scholar]
- Nayak, P., Vathasavai, B. Energy Efficient Clustering Algorithm for Multi-Hop Wireless Sensor Network Using Type-2 Fuzzy Logic. IEEE Sensors Journal, 17 (14), art. No. 7938335, pp. 4492-4499. Cited 68 times. (2017). [Google Scholar]
- Neerej K.P and Abraham sudharsonponraj “Automatic curing system for concrete structures”, National conference on science Engineering and technology, NCSET, Volume No 04, Issue 06, (2016). [Google Scholar]
- Nrutya N. Gandhi, kinjal N. patel, prof. Abhishek patel, “Water saving irrigation automatic agricultural controller under Vishvakarma Yojana”, Journal of IRJET, vol. 05, issue:04, p-ISSN: 2395-0072, (2018). [Google Scholar]
- S. Darshna, T. Sangavi, Sheenamohan, A. Soundharya, Sukanya Desikan, “Smart irrigation system”, journal of electrical and communication engineering, IOSP, Vol. 3, Issue 3 pp32-36, (2015). [Google Scholar]
- Shima Taheri, “A review on five key sensors for monitoring of concrete structures”, journal of ELSEVIER, vol. 204, 492-509, (2019). [Google Scholar]
- Singh, S.K., Mahesh, K., Gupta, A.K. Prediction of mechanical properties of extra deep drawn steel in blue brittle region using Artificial Neural Network. Materials and Design, 31 (5), pp. 2288-2295. Cited 55 times (2010). [Google Scholar]
- Singh, S.K., Mahesh, K., Kumar, A., Swathi, M. Understanding formability of extra-deep drawing steel at elevated temperature using finite element simulation. Materials and Design, 31 (9), pp. 4478-4484. Cited 54 times (2010). [Google Scholar]
- Naspuri Arun Raju, T. Suresh Kumar, International Journal of Innovative Technology and Exploring Engineering, Vol. 8 no. 11, pp: 3860-3864, (2019) [Google Scholar]
- Mallikarjuna Reddy, V., Praveen, R.Effect of polyethylene glycol in self-curing of self-compacting concrete. International Journal of Recent Technology and Engineering, 8(3), pp. 7280-7283, (2019) [Google Scholar]
- Mallikarjuna Reddy, V., Vasanthi, S.Effect of elevated temperatures on fiber reinforced self-compacting concrete. International Journal of Recent Technology and Engineering, 8(3), pp. 7775-7778, (2019) [Google Scholar]
- Mallikarjuna Reddy, V., Bhaskar, B.Mechanical behaviour of self-compacting concrete by using M-sand & rice husk ash, 8(10), pp. 3320-3323, (2019) [Google Scholar]
- Sekhar, K., Kushwaha, S.K.S., Karthik, D.R., Mallikarjuna Reddy, V., Mallikarjuna Reddy, B.Transient stability analysis of large scale grid integration of offshore wind and marine current farm connected to grid using STATCOM. Innovations in Power and Advanced Computing Technologies, i-PACT Vellore, 2017, pp. 1-6, doi:10.1109/IPACT.2017.8244893. [Google Scholar]
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