Sarat Das
Cited by
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Undrained lateral load capacity of piles in clay using artificial neural network
SK Das, PK Basudhar
Computers and Geotechnics 33 (8), 454-459, 2006
Measurements of the production cross section in lepton+jets final states in pp collisions at 8 and ratio of 8 to 7 cross sections
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, E Asilar, T Bergauer, ...
The European Physical Journal C 77, 1-27, 2017
Prediction of residual friction angle of clays using artificial neural network
SK Das, PK Basudhar
Engineering Geology 100 (3-4), 142-145, 2008
Organic solvent-free fabrication of durable and multifunctional superhydrophobic paper from waterborne fluorinated cellulose nanofiber building blocks
A Baidya, MA Ganayee, S Jakka Ravindran, KC Tam, SK Das, RHA Ras, ...
Acs Nano 11 (11), 11091-11099, 2017
Geotechnical characterization of some Indian fly ashes
SK Das, Yudhbir
Journal of Materials in Civil Engineering 17 (5), 544-552, 2005
Classification of slopes and prediction of factor of safety using differential evolution neural networks
SK Das, RK Biswal, N Sivakugan, B Das
Environmental Earth Sciences 64, 201-210, 2011
Application of artificial intelligence to maximum dry density and unconfined compressive strength of cement stabilized soil
SK Das, P Samui, AK Sabat
Geotechnical and Geological Engineering 29, 329-342, 2011
Strength and durability characteristic of alkali activated GGBS stabilized red mud as geo-material
S Alam, SK Das, BH Rao
Construction and Building materials 211, 932-942, 2019
Prevalence of aphakic retinal detachment.
SP Percival, V Anand, SK Das
The British Journal of Ophthalmology 67 (1), 43, 1983
10 Artificial neural networks in geotechnical engineering: modeling and application issues
SK Das
Metaheuristics in Water Geotech Transp Eng 45, 231-267, 2013
First measurement of large area jet transverse momentum spectra in heavy-ion collisions
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, T Bergauer, ...
Journal of High Energy Physics 2021 (5), 1-48, 2021
Properties and assessment of applications of red mud (bauxite residue): current status and research needs
PS Reddy, NG Reddy, VZ Serjun, B Mohanty, SK Das, KR Reddy, BH Rao
Waste and Biomass Valorization 12, 1185-1217, 2021
Slope stability analysis using artificial intelligence techniques
S Suman, SZ Khan, SK Das, SK Chand
Natural Hazards 84, 727-748, 2016
Intestinal parasitic infections, anaemia and undernutrition among tribal adolescents of Madhya Pradesh
VG Rao, MC Aggrawal, R Yadav, SK Das, LK Sahare, MK Bondley, ...
Indian Journal of Community Medicine 28 (1), 26, 2003
Prediction of swelling pressure of soil using artificial intelligence techniques
SK Das, P Samui, AK Sabat, TG Sitharam
Environmental Earth Sciences 61, 393-403, 2010
Geotechnical properties of low calcium and high calcium fly ash
SK Das, Yudhbir
Geotechnical & Geological Engineering 24, 249-263, 2006
Prediction of maximum dry density and unconfined compressive strength of cement stabilised soil using artificial intelligence techniques
S Suman, M Mahamaya, SK Das
International Journal of Geosynthetics and Ground Engineering 2, 1-11, 2016
Prediction of field hydraulic conductivity of clay liners using an artificial neural network and support vector machine
SK Das, P Samui, AK Sabat
International Journal of Geomechanics 12 (5), 606-611, 2012
Characterization of coarse fraction of red mud as a civil engineering construction material
S Alam, SK Das, BH Rao
Journal of Cleaner Production 168, 679-691, 2017
Chromate reduction inStreptomyces
S Das, AL Chandra
Experientia 46, 731-733, 1990
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Articles 1–20