Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ramgopal T. Sahu"'
Autor:
Sagar D. Turkane, Sandeep K. Chouksey, Avinash V. Nawale, Ramgopal T. Sahu, Sudhir B. Gayake, Sachin M. Gunjal
Publikováno v:
Discover Civil Engineering, Vol 1, Iss 1, Pp 1-13 (2024)
Abstract The utilization of industrial by-products in concrete production has gained significant attention due to its potential environmental and economic benefits. The increasing demand for sustainable construction materials has prompted researchers
Externí odkaz:
https://doaj.org/article/82c11ab5581b48e0a86fe1d02ee65b6d
Autor:
Ramgopal T. Sahu, Darshan J. Mehta
Publikováno v:
Water Practice and Technology, Vol 19, Iss 5, Pp 1753-1768 (2024)
The urban population of the world houses almost 13% in low-elevation coastal zones (LECZ). Major cities with a population of more than five million, which account for almost two-thirds of the world's large cities, reside in low-elevation coastal zone
Externí odkaz:
https://doaj.org/article/40277bead3114cc7877bf1a764c0cd92
Publikováno v:
Geocarto International. 37:14877-14898
Publikováno v:
Geocarto International. 37:8792-8814
Publikováno v:
Acta Scientific Agriculture. :50-61
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811950766
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd96a00e0b4cc2f34efa7afc5c3bbb55
https://doi.org/10.1007/978-981-19-5077-3_3
https://doi.org/10.1007/978-981-19-5077-3_3
Publikováno v:
Soft Computing: Theories and Applications ISBN: 9789811907067
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cf1db2415fa33671f0c6cb56ee6e3ee
https://doi.org/10.1007/978-981-19-0707-4_14
https://doi.org/10.1007/978-981-19-0707-4_14
Eigen-based sequential spatial pattern analysis an application of PCA is presented here. The analysis examines the spatial distribution of precipitation over the Mahanadi river basin. The Spatial(S)-mode of sequential spatial pattern analysis with th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c2f3766c124d733337d80e1acc49aa7
https://doi.org/10.21203/rs.3.rs-542786/v1
https://doi.org/10.21203/rs.3.rs-542786/v1
Publikováno v:
Journal of Physics: Conference Series. 2273:012020
Real-world optimization problems are usually non-linear and solving nonlinear problems requires time. Hence heuristic techniques are frequently used. Simulated annealing (SA) is one of the most commonly used heuristic algorithms. SA is useful in the
Publikováno v:
Journal of Physics: Conference Series. 2273:012017
The study focuses on the estimation of a technique, a method for developing a phenomenon, to obtain a quantile with minimal or low error (AR and R-RMSE bias). To arrive at such a solution, a case study of the Mahanadi River system (Mahanadi Basin) wa