P. Deka

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Estimation of dew point temperature using SVM and ELM for humid and semi-arid regions of India

Paresh Chandra Deka, Amit Prakash Patil, Sujay Raghavendra Naganna, 2018 .

Comparison of Oceansat-2 scatterometer- to buoy-recorded winds and spatial distribution over the Arabian Sea during the monsoon period

P. Deka, Sanjeev Gadad, 2015 .

Application of Machine Learning Techniques in Wave Height Forecasting In Marine Environment – A Review

Akhil, P. Deka, 2017 .

Classification of case-II waters using hyperspectral (HICO) data over North Indian Ocean

P. Deka, N. Rao, E. P. Ramarao, 2016 .

A Hybrid Wavelet GP Model for Enhancing Forecasting Accuracy of Time Series Significant Wave Heights

P. Deka, Vinay Anand Dhanvada, 2017 .

Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms

Sujay Raghavendra Naganna, Z. Yaseen, M. Ghorbani, 2019, Water.

Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting

Mohammad Rezaie-Balf, Paresh Chandra Deka, Sujay Raghavendra Naganna, 2017 .

Offshore wind power resource assessment using Oceansat-2 scatterometer data at a regional scale

Paresh Chandra Deka, P. Deka, Sanjeev Gadad, 2016 .

CIVIL & ENVIRONMENTAL ENGINEERING | RESEARCH ARTICLE Forecasting monthly groundwater level fluctuations in coastal aquifers using hybrid Wavelet packet-Support vector regression

P. Deka, S. Raghavendra, 2015 .

Spatial and temporal variations in river water quality of the Middle Ganga Basin using unsupervised machine learning techniques

P. Deka, Ashwitha Krishnaraj, 2020, Environmental Monitoring and Assessment.

Artificial intelligence approaches for spatial modeling of streambed hydraulic conductivity

Sujay Raghavendra Naganna, P. Deka, 2019, Acta Geophysica.

Evaluating the Performance of CHIRPS Satellite Rainfall Data for Streamflow Forecasting

P. Deka, Bhuvanamitra Sulugodu, 2019, Water Resources Management.

Factors influencing streambed hydraulic conductivity and their implications on stream–aquifer interaction: a conceptual review

Sujay Raghavendra Naganna, Sudheer Ch, P. Deka, 2017, Environmental Science and Pollution Research.

Remote sensing and GIS application in assessment of coastal vulnerability and shoreline changes: a review

P. Deka, K. Parthasarathy, 2019, ISH Journal of Hydraulic Engineering.

WAVELET-NEURAL NETWORK CONJUNCTION MODEL IN FLOW FORECASTING OF SUBHIMALAYAN RIVER BRAHMAPUTRA

Khandekar Sachin Dadu, P. Deka, 2012 .

Artificial intelligence application in drought assessment, monitoring and forecasting: a review

P. Deka, Ayilobeni Kikon, 2021, Stochastic Environmental Research and Risk Assessment.

Identification of Potential Sources Affecting Fine Particulate Matter Concentration in Delhi, India

P. Deka, S. Nagendra, K. Harsha, 2020 .

Spatio-Temporal Classi�cation and Prediction of Land Use and Land Cover Change for the Vembanad Lake System, Kerala – a Machine Learning Approach

P. Deka, Parthasarathy Kulithalai Shiyam Sundar, Parthasarathy Kulithalai, 2021 .

Support vector machine applications in the field of hydrology: A review

Paresh Chandra Deka, Sujay Raghavendra Naganna, N. Sujay Raghavendra, 2014, Appl. Soft Comput..

Hybrid wavelet packet machine learning approaches for drought modeling

Sujay Raghavendra Naganna, Prabal Das, Paresh Chandra Deka, 2020, Environmental Earth Sciences.

An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs

Paresh Chandra Deka, Amit Prakash Patil, P. Deka, 2016, Comput. Electron. Agric..

Spatio-temporal classification and prediction of land use and land cover change for the Vembanad Lake system, Kerala: a machine learning approach

P. Deka, Parthasarathy Kulithalai Shiyam Sundar, 2021, Environmental Science and Pollution Research.

Sustainable Development and Management of Groundwater Resources in Mining Affected Areas: A Review

Paresh Chandra Deka, Sujay Raghavendra Naganna, P. Deka, 2015 .

Fuzzy system modeling for forecasting water quality index in municipal distribution system

Paresh Chandra Deka, Vinayak K. Patki, S. Shrihari, 2015 .

A basic review of fuzzy logic applications in hydrology and water resources

Paresh Chandra Deka, Shruti Kambalimath, P. Deka, 2020, Applied Water Science.

Discrete wavelet neural network approach in significant wave height forecasting for multistep lead time

Paresh Chandra Deka, R. Prahlada, P. Deka, 2012 .

Variability of streambed hydraulic conductivity in an intermittent stream reach regulated by Vented Dams: A case study

Sujay Raghavendra Naganna, P. Deka, 2018, Journal of Hydrology.

Machine learning-based modeling of saturated hydraulic conductivity in soils of tropical semi-arid zone of India

Sujay Raghavendra Naganna, P. Deka, A. Patil, 2022, Sādhanā.

Performance enhancement of SVM model using discrete wavelet transform for daily streamflow forecasting

P. Deka, Shruti Kambalimath S, 2021, Environmental Earth Sciences.

Daily pan evaporation modeling in climatically contrasting zones with hybridization of wavelet transform and support vector machines

Paresh Chandra Deka, Leeladhar Pammar, P. Deka, 2017, Paddy and Water Environment.

A fuzzy neural network model for deriving the river stage—discharge relationship

Paresh Deka, V. Chandramouli, V. Chandramouli, 2003 .

Assessment of potentially vulnerable zones using geospatial approach along the coast of Cuddalore district, East coast of India

S. Saravanan, P. Deka, K. Parthasarathy, 2020, ISH Journal of Hydraulic Engineering.

Machine learning-based modeling of saturated hydraulic conductivity in soils of tropical semi-arid zone of India

P. Deka, A. Patil, Sujay Raghavendra Naganna, 2022, Sādhanā.

Municipal Residential Water Consumption Estimation Techniques Using Traditional and Soft Computing Approach: a Review

P. Deka, H. Surendra, 2022, Water Conservation Science and Engineering.

Urban Water Consumption Estimation Using Artificial Intelligence Techniques

Paresh Chandra Deka, H. J. Surendra, P. Deka, 2016 .

EFFECTS OF STATISTICAL PROPERTIES OF DATASET IN PREDICTING PERFORMANCE OF VARIOUS ARTIFICIAL INTELLIGENCE TECHNIQUES FOR URBAN WATER CONSUMPTION TIME SERIES

Paresh Chandra Deka, H. J. Surendra, P. Deka, 2012 .

Multistep Ahead Groundwater Level Time-Series Forecasting Using Gaussian Process Regression and ANFIS

Paresh Chandra Deka, Sujay Raghavendra Naganna, N. Sujay Raghavendra, 2015, ACSS.

Forecasting monthly groundwater level fluctuations in coastal aquifers using hybrid Wavelet packet–Support vector regression

Paresh Chandra Deka, P. Deka, N. Sujay Raghavendra, 2015 .

Estimation of saturated hydraulic conductivity using fuzzy neural network in a semi-arid basin scale for murum soils of India

Paresh Chandra Deka, P. Deka, Sathish Bahurao More, 2018 .

Performance evaluation of hybrid Wavelet-ANN and Wavelet-ANFIS models for estimating evapotranspiration in arid regions of India

Paresh Chandra Deka, Amit Prakash Patil, P. Deka, 2015, Neural Computing and Applications.

WITHDRAWN: Significance of streambed hydraulic conductivity in stream-aquifer interaction - A systematic review of fundamentals and recent research.

Ch Sudheer, Paresh Chandra Deka, Raghavendra N Sujay, 2017, The Science of the total environment.