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Costache, Romulus
219  results:
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1

Flood mapping based on novel ensemble modeling involving th..:

Costache, Romulus ; Pal, Subodh Chandra ; Pande, Chaitanya B....
Applied Water Science.  14 (2024)  4 - p. , 2024
Link: https://doi.org/10.1007/..
 
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2

Contributors:

, In: Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering,
Agyei, George ; Ahmed, Zahir Elharith MohammedElamein ; Ajak, Ajak Duany... - p. xvii-xxi , 2024
Link: https://doi.org/10.1016/..
 
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3

Groundwater potential assessment in Dobrogea region of Roma..:

, In: Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering,
Costache, Romulus - p. 379-396 , 2024
Link: https://doi.org/10.1016/..
 
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4

Assessment of groundwater potential zones in data-scarce re..:

Dandapat, Kishor ; Chatterjee, Uday ; Das, Sandipan...
Geocarto International.  39 (2024)  1 - p. , 2024
Link: https://doi.org/10.1080/..
 
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5

Spatiotemporal snowline status and climate variability impa..:

Pandey, Arvind ; Parashar, Deepanshu ; Palni, Sarita...
Environmental Sciences Europe.  36 (2024)  1 - p. , 2024
Link: https://doi.org/10.1186/..
 
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6

A review of recent advances and future prospects in calcula..:

Alam, Md Mahfuz ; Akter, Mst. Yeasmin ; Islam, Abu Reza Md Towfiqul...
Journal of Environmental Management.  351 (2024)  - p. 119714 , 2024
Link: https://doi.org/10.1016/..
 
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7

An Overview of Machine Learning Applications in Disaster Wa..:

, In: Geo-information for Disaster Monitoring and Management,
Pandey, Shikha ; Pandey, Prem C. ; Costache, Romulus... - p. 469-499 , 2024
Link: https://doi.org/10.1007/..
 
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8

Landslide susceptibility in a hilly region of Romania using..:

, In: Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering,
Costache, Romulus - p. 419-435 , 2024
Link: https://doi.org/10.1016/..
 
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9

Predictive modeling of land surface temperature (LST) based..:

Pande, Chaitanya Baliram ; Egbueri, Johnbosco C. ; Costache, Romulus...
Journal of Cleaner Production.  444 (2024)  - p. 141035 , 2024
Link: https://doi.org/10.1016/..
 
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10

Flood Susceptibility Modeling Using an Advanced Deep Learni..:

Mia, Md. Uzzal ; Chowdhury, Tahmida Naher ; Chakrabortty, Rabin...
Land.  12 (2023)  4 - p. 810 , 2023
Link: https://doi.org/10.3390/..
 
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11

Modelling of groundwater potential zone in hard rock-domina..:

Biswas, Tanmoy ; Pal, Subodh Chandra ; Ruidas, Dipankar...
Environmental Earth Sciences.  82 (2023)  3 - p. , 2023
Link: https://doi.org/10.1007/..
 
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12

Unlocking the hidden potential: groundwater zone mapping us..:

Shelar, Rahul S. ; Nandgude, Sachin B. ; Pande, Chaitanya B....
Geomatics, Natural Hazards and Risk.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1080/..
 
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13

Receptor model-based source-specific health risks of toxic ..:

Habib, Md. Ahosan ; Islam, Abu Reza Md. Towfiqul ; Varol, Memet...
Environmental Geochemistry and Health.  45 (2023)  11 - p. 8539-8564 , 2023
Link: https://doi.org/10.1007/..
 
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14

Use of Machine Learning to Predict California Bearing Ratio..:

Kassa, Semachew Molla ; Wubineh, Betelhem Zewdu ; Costache, Romulus
Advances in Civil Engineering.  2023 (2023)  - p. 1-11 , 2023
Link: https://doi.org/10.1155/..
 
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15

Sustainable Water Management for Small Farmers with Center-..:

Rashid, Muhammad ; Haider, Saif ; Masood, Muhammad Umer...
Sustainability.  15 (2023)  23 - p. 16390 , 2023
Link: https://doi.org/10.3390/..
 
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