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Springer Nature
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Earth Science Informatics
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2026
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Verma
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Interpretable machine learning for quantifying the weathering index of mafic and ultramafic rocks using SHAP and PDPE
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Earth Science Informatics
· 2026 · Vol. 19 · Issue 3 · Springer
Arijit Sahoo
;
Amit Kumar Verma
;
Md Shayan Sabri
;
T. N. Singh
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Seismic inversion based on principal component analysis and probabilistic neural network for prediction of porosity from post-stack seismic data
NARA Subscribed
Earth Science Informatics
· 2025 · Vol. 18 · Issue 1 · Springer
Nitin Verma
;
Ravi kant
;
S. P. Maurya
;
Brijesh kumar
;
A. P. Singh
;
G. Hema
;
Raghav Singh
;
K. H. Singh
;
Piyush Sarkar
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Comparison of neural networks techniques to predict subsurface parameters based on seismic inversion: a machine learning approach
NARA Subscribed
Earth Science Informatics
· 2024 · Vol. 17 · Issue 2 · Springer
Nitin Verma
;
S. P. Maurya
;
Ravi kant
;
K. H. Singh
;
Raghav Singh
;
A. P. Singh
;
G. Hema
;
M. K. Srivastava
;
Alok K. Tiwari
;
P. K. Kushwaha
;
Richa Singh
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New multidimensional classification scheme of altered igneous rocks from performance comparison of isometric and modified log-ratio transformations of major elements
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Earth Science Informatics
· 2020 · Vol. 13 · Issue 4 · Springer
Surendra P. Verma
;
Lorena Díaz-González
;
M. Abdelaly Rivera-Gómez
;
Mauricio Rosales-Rivera
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Application of a new computer program for tectonic discrimination of Cambrian to Holocene clastic sediments
NARA Subscribed
Earth Science Informatics
· 2016 · Vol. 9 · Issue 2 · Springer
Surendra P. Verma
;
Lorena Díaz-González
;
John S. Armstrong-Altrin
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