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SURAJ KUMAR BHAGAT

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Assistant Professor

Ohio State University

United States

Research Interests

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Professors in United States Professors in Hydrology Hydrology professors in United States

Recent Grants

Grant: Close

Suspended heavy metal in bay’s soil simulation: Application of the advanced meta-heuristic models

Open Date: 2019-02-01

Close Date: 2022-02-01

Grant: Close

Implementation of low expensive laundry wastewater treatment at Dormitory of Institute of Technology, Ambo University, Ethiopia.

Open Date: 2015-10-01

Close Date: 2017-10-01

Articles (30)

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2020

Collaborators (6)

SUBHA MANASH ROY

Chonnam National University

SOUTH KOREA

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sumanta sahoo

Assistant Professor

Gachon University

SOUTH KOREA

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Ahmed A. Ewees

SAUDI ARABIA

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Mohamed Mohamed Ouda

Assistant professor

king khalid university

SAUDI ARABIA

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Bhuvaneshwari Balasubramaniam

Assistant Professor

Indian Institute of Technology (BHU), Varanasi

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Taeho Kim

Professor

Chonnam National University - Yeosu Campus

SOUTH KOREA

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SURAJ KUMAR BHAGAT

Research Interests

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Recent Grants

Articles (30)

Beyond structural support: Synergizing nanocellulose with MXene, carbon, and MOFs for integrated EMI shielding, thermal management, and solar evaporation

Decoding Rainfall Challenges and Pattern Shift and Trends Using Decomposition and Autocorrelation Function Techniques

Integrated Machine Learning Based Groundwater Quality Prediction in a Peri-Urban Area: The Case of Attica Region, Greece

Assessment of Lasso and Ridge models for soil swelling potential prediction

Numerical Analysis of Rainfall‐Induced Landslides and Stability Assessment Along the Bonga‐Mizan Road Section, Ethiopia

Monitoring Agricultural Transformation and Its Impacts on Water Resources in the Gharb Plain, Morocco, Using Machine Learning and Remote Sensing

Poly(lactic acid) hybrid nanocomposites with synergistic cellulose nanocrystal-carbon reinforcement for sustainable packaging and multifunctional applications

Application of artificial intelligence in aquaculture – Recent developments and prospects

Cost-effective aeration solutions for aquaculture: a study on paddle wheel and spiral aerators

HydroPredictor a hybrid machine learning model for addressing data scarcity in groundwater prediction

Artificial intelligence for groundwater recharge prediction in an arid region: application of tabular deep learning models in the Feija Basin, Morocco

Navigating the Challenges of Rainfall Variability: Precipitation Forecasting using Coalesce Model

Advanced machine learning models for robust prediction of water quality index and classification

Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob

A robust and statistical analyzed predictive model for drug toxicity using machine learning

Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting

Forecasting short-term rainfall patterns in arid and semi-arid regions using machine learning and deep learning models: a case study from Morocco

Integrated review of <i>Myrica esculenta</i> (bayberry) in therapeutic nutritional and environmental contexts

Microstructural and statistical analysis on mechanical performance of novel flattened end nylon fibre reinforced concrete

Potential health, environmental implication of microplastics: A review on its detection

Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater

Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction

Polymeric Droplets on SiO2 Nanoparticles through Wastewater Treatment of Carbon-Based Contaminants in Photocatalytic Degradation

Groundwater level prediction using machine learning models: A comprehensive review

Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects

Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model

Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia

Dual Water Choices: The Assessment of the Influential Factors on Water Sources Choices Using Unsupervised Machine Learning Market Basket Analysis

Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

Newly explored machine learning model for river flow time series forecasting at Mary River, Australia

Collaborators (6)

SUBHA MANASH ROY

sumanta sahoo

Ahmed A. Ewees

Mohamed Mohamed Ouda

Bhuvaneshwari Balasubramaniam

Taeho Kim

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