S
S. Adarsh
Researcher at Thangal Kunju Musaliar College of Engineering, Kollam
Publications - 76
Citations - 782
S. Adarsh is an academic researcher from Thangal Kunju Musaliar College of Engineering, Kollam. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 13, co-authored 65 publications receiving 485 citations. Previous affiliations of S. Adarsh include APJ Abdul Kalam Technological University & Indian Institute of Technology Bombay.
Papers
More filters
Journal ArticleDOI
Trend analysis of rainfall in four meteorological subdivisions of southern India using nonparametric methods and discrete wavelet transforms
S. Adarsh,M. Janga Reddy +1 more
TL;DR: In this article, the long-term trends of rainfall in four subdivisions of southern India namely Kerala, Tamil Nadu, North Interior (NI) Karnataka and Telangana regions are analysed using linear regression, nonparametric Mann-Kendall (MK) test and Sen's slope estimator methods.
Journal ArticleDOI
Multifractal characterization of meteorological drought in India using detrended fluctuation analysis
Journal ArticleDOI
On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico
Mohammad Zounemat-Kermani,Amin Mahdavi-Meymand,Meysam Alizamir,S. Adarsh,Zaher Mundher Yaseen +4 more
TL;DR: The current investigation evidences the potential of the nature-inspired algorithm as a hyper-parameter optimizer for ML models that produce a reliable and robust predictive model for sediment concentration quantification.
Journal ArticleDOI
Multiscale characterization and prediction of monsoon rainfall in India using Hilbert–Huang transform and time-dependent intrinsic correlation analysis
TL;DR: In this paper, the authors employed the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) for multiscale decomposition of monsoon rainfall in India and uses the Normalized Hilbert Transform and Direct Quadrature (NHT-DQ) scheme for the time-frequency characterization.
Journal ArticleDOI
A novel approach for predicting daily pan evaporation in the coastal regions of Iran using support vector regression coupled with krill herd algorithm model
Yiqing Guan,Babak Mohammadi,Quoc Bao Pham,S. Adarsh,Khaled S. Balkhair,Khalil Ur Rahman,Nguyen Thi Thuy Linh,Doan Quang Tri +7 more
TL;DR: In this paper, the authors proposed a novel approach to estimate pan evaporation (Epan) across the humid region of Iran using support vector regression (SVR) technique coupled with Krill Herd Algorithm(SVR-KHA).