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D Suresh Kumar

Biographic Data

ID2853894
NAMED Suresh Kumar
GIVEN NAMESD Suresh
FAMILY NAMEKumar
SIGNATUREKUMAR D S
AFFILIATIONSDepartment of Civil Engineering National Institute of Technology Calicut Kozhikode Kerala India
ORCID0000-0002-1432-4343
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Machine learning‐based spatial rice yield estimation by assimilation of SAR and optical remote sensing products

    Open Access•S Satheesh, S Pazhanivelan et al.•ARTICLE•Singapore Journal of Tropical…•2026

    Precise and real‐time rice yield estimation is essential for strategic agricultural planning and ensuring food security. This study presents an integrated approach combining multi‐source remote sensing data from Sentinel‐1 and Sentinel‐2 satellites with machine learning algorithms to estimate rice yields across the Cauvery Delta Region of Tamil Nadu during the Kharif season. Seasonal maximum values of vegetation indices and SAR backscatter coeffi…

  • Estimation of Potential Impact of Land Use Change on Sediment Yield From a Small Tropical Watershed Using the TREX Erosion Model

    Open Access•N M Sabitha, Santosh G Thampi et al.•ARTICLE•Land Degradation and Development•2025

    Analysis of the influence of changes in land use on the sediment yield from watersheds provides crucial inputs that aid the development of appropriate strategies for the sustainable management of consequent land degradation. Event‐based hydrologic models can be used for performing such analysis, as long‐term hydrological datasets are not available for most of the rivers in developing countries like India. In this study, an event‐based Two‐Dimensi…

  • Assessment of temporal homogeneity of long-term rainfall time-series datasets by applying classical homogeneity tests

    Open Access•P Kabbilawsh, D Suresh Kumar et al.•ARTICLE•Environment Development and…•2023

  • Withdrawn

    Open Access•Rahul Kasar, Balu Kolar et al.•ARTICLE•Journal of Ethnic Foods•2018•References: 14

    This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal

  • Characteristics of Foot Dimensions of Children with Cerebral Palsy and Standardizing Orthosis Size - Through an Anthropometric Pilot Study

    Open Access•D Suresh Kumar, Gautham Reddy G et al.•ARTICLE•The Anthropologist•2015•Cited by: 1

    Children with Cerebral Palsy have foot debilitation resulting in change in foot dimension and impaired gait. To overcome this problem customised orthoses are often prescribed. This increases the lead time of manufacturing of the orthosis as well as the cost. The objectve is to study the characteristics of foot dimensions and parameterize the orthoses design to enable CP patients to obtain off the shelf orthoses. Foot dimensions of 86 CP children …

  • Characteristics of Foot Dimensions of Children with Cerebral Palsy and Standardizing Orthosis Size - Through an Anthropometric Pilot Study

    Open Access•D Suresh Kumar, Gautham Reddy G et al.•ARTICLE•The Anthropologist•2015•Cited by: 1

    Children with Cerebral Palsy have foot debilitation resulting in change in foot dimension and impaired gait. To overcome this problem customised orthoses are often prescribed. This increases the lead time of manufacturing of the orthosis as well as the cost. The objectve is to study the characteristics of foot dimensions and parameterize the orthoses design to enable CP patients to obtain off the shelf orthoses. Foot dimensions of 86 CP children …

  • Characteristics of Foot Dimensions of Children with Cerebral Palsy and Standardizing Orthosis Size - Through an Anthropometric Pilot Study

    Open Access•D Suresh Kumar, Gautham Reddy G et al.•ARTICLE•The Anthropologist•2015•Cited by: 1

    Children with Cerebral Palsy have foot debilitation resulting in change in foot dimension and impaired gait. To overcome this problem customised orthoses are often prescribed. This increases the lead time of manufacturing of the orthosis as well as the cost. The objectve is to study the characteristics of foot dimensions and parameterize the orthoses design to enable CP patients to obtain off the shelf orthoses. Foot dimensions of 86 CP children …

  • Withdrawn

    Open Access•Rahul Kasar, Balu Kolar et al.•ARTICLE•Journal of Ethnic Foods•2018•References: 14

    This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal

  • Assessment of temporal homogeneity of long-term rainfall time-series datasets by applying classical homogeneity tests

    Open Access•P Kabbilawsh, D Suresh Kumar et al.•ARTICLE•Environment Development and…•2023

  • Estimation of Potential Impact of Land Use Change on Sediment Yield From a Small Tropical Watershed Using the TREX Erosion Model

    Open Access•N M Sabitha, Santosh G Thampi et al.•ARTICLE•Land Degradation and Development•2025

    Analysis of the influence of changes in land use on the sediment yield from watersheds provides crucial inputs that aid the development of appropriate strategies for the sustainable management of consequent land degradation. Event‐based hydrologic models can be used for performing such analysis, as long‐term hydrological datasets are not available for most of the rivers in developing countries like India. In this study, an event‐based Two‐Dimensi…

  • Machine learning‐based spatial rice yield estimation by assimilation of SAR and optical remote sensing products

    Open Access•S Satheesh, S Pazhanivelan et al.•ARTICLE•Singapore Journal of Tropical…•2026

    Precise and real‐time rice yield estimation is essential for strategic agricultural planning and ensuring food security. This study presents an integrated approach combining multi‐source remote sensing data from Sentinel‐1 and Sentinel‐2 satellites with machine learning algorithms to estimate rice yields across the Cauvery Delta Region of Tamil Nadu during the Kharif season. Seasonal maximum values of vegetation indices and SAR backscatter coeffi…

Computer Science (2 works) · Geology (2 works) · Mathematics (2 works) · Medicine (2 works) · Statistics (2 works) · Anthropometry (1 work) · Backscatter (email) (1 work) · Biochemical Analysis and Sensing Techniques (1 work) · Cerebral palsy (1 work) · Cerebral Palsy and Movement Disorders (1 work)

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