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|a 9789811659522
|9 978-981-16-5952-2
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|a 10.1007/978-981-16-5952-2
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|a Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
|h [electronic resource] :
|b Proceedings of the Second International Conference, MMCITRE 2021 /
|c edited by Manoj Sahni, José M. Merigó, Ritu Sahni, Rajkumar Verma.
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| 250 |
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|a 1st ed. 2022.
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| 264 |
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1 |
|a Singapore :
|b Springer Nature Singapore :
|b Imprint: Springer,
|c 2022.
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| 300 |
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|a XIII, 516 p. 139 illus., 113 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Advances in Intelligent Systems and Computing,
|x 2194-5365 ;
|v 1405
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| 505 |
0 |
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|a Strongly Prime Radicals and S-primary Ideals in Posets -- Association Schemes over Some Finite Group Rings -- Rings whose nonunits are multiple of unit and strongly nilpotent element -- Improved Lower Bounds on Second Order Nonlinearities of Cubic Boolean Functions -- Ces`aro-Riesz Product Summability φ − /C1R; δ/q Factor for an Infinite Series -- Ostrowski’s Type Inequalities with Exponentially Convex Functions and its Applications.
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| 520 |
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|a This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.
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| 650 |
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0 |
|a Computational intelligence.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Machine learning.
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| 650 |
|
0 |
|a Computer simulation.
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| 650 |
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0 |
|a Renewable energy sources.
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| 650 |
1 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Machine Learning.
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| 650 |
2 |
4 |
|a Computer Modelling.
|
| 650 |
2 |
4 |
|a Renewable Energy.
|
| 700 |
1 |
|
|a Sahni, Manoj.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Merigó, José M.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Sahni, Ritu.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Verma, Rajkumar.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer Nature eBook
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9789811659515
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9789811659539
|
| 830 |
|
0 |
|a Advances in Intelligent Systems and Computing,
|x 2194-5365 ;
|v 1405
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-16-5952-2
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| 912 |
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|a ZDB-2-INR
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| 912 |
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|a ZDB-2-SXIT
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| 950 |
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
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| 950 |
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
|