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Andry RAZAKAMANANTSOA

affiliation not provided to SSRN

SCHOLARLY PAPERS

5

DOWNLOADS

214

TOTAL CITATIONS

1

Scholarly Papers (5)

1.

A Hybrid Urban Gridded Inventory & Sensor-based Approach for Source Apportionment (HUGISS)

Number of pages: 51 Posted: 16 Jan 2026
RAJAT SHARMA, Erwann Rayssac, Andry RAZAKAMANANTSOA and Agnès Jullien
Gustave Eiffel University, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 51 (1,074,648)

Abstract:

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Low-cost sensors, Source apportionment, Regression model, Emission Inventory, Calibration, Particulate matter

2.

The Contribution of Soil Properties and Implementation Processes to Microstructure and Mechanical Behaviour of Earthen Construction

Number of pages: 30 Posted: 02 Apr 2025
affiliation not provided to SSRN, University of Huddersfield, affiliation not provided to SSRN, Université Gustave Eiffel, Gustave Eiffel University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 47 (1,097,529)

Abstract:

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cob, adobe, multiple linear regression, contribution, Compressive strength, Microstructure

3.

Impact of Earth Variability and Implementation Processes on Hydromechanical and Microstructure Properties of Sustainable Construction Materials

Number of pages: 24 Posted: 21 Jun 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Gustave Eiffel University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 44 (1,133,231)

Abstract:

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cob, adobe, bulk density, Microstructure, compressive strength, compaction

4.

A Relevant Characterization of Usumacinta River Sediments for a Reuse in Earthen Construction and Agriculture

Number of pages: 50 Posted: 29 Jan 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 42 (1,157,785)

Abstract:

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Usumacinta River Mexico, sediment, rheology, geotechnical properties, microstructure, mineralogy, earthen construction, agriculture

5.

Performance and Applicability of Low-Cost Pm Sensors to Assess Global Pollution Variability Through Machine Learning Techniques

Number of pages: 40 Posted: 19 Mar 2025
Gustave Eiffel University, affiliation not provided to SSRN, Thapar University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 30 (1,318,317)
Citation 1

Abstract:

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Low Cost PM Sensors, Air Quality Monitoring, Performance Index, Data reliability, machine learning, Performance Parameters