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Groundwater level prediction using machine learning models: A comprehensive review

Neurocomputing (Amsterdam), 2022-06, Vol.489, p.271-308

2022

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A survey on river water quality modelling using artificial intelligence models: 2000–2020

Journal of hydrology (Amsterdam), 2020-06, Vol.585, p.124670, Article 124670

2020

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

Chemosphere (Oxford), 2021-08, Vol.276, p.130162-130162, Article 130162

2021

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Numerical analysis of pile group, piled raft, and footing using finite element software PLAXIS 2D and GEO5

Scientific reports, 2023-09, Vol.13 (1), p.15875-15875, Article 15875

2023

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

Environmental pollution (1987), 2021-01, Vol.268 (Pt B), p.115663, Article 115663

2021

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Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models

Marine pollution bulletin, 2021-09, Vol.170 (C), p.112639-112639, Article 112639

2021

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A data-driven approach to river discharge forecasting in the Himalayan region: Insights from Aglar and Paligaad rivers

Results in engineering, 2024-06, Vol.22, p.102044, Article 102044

2024

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Manganese (Mn) removal prediction using extreme gradient model

Ecotoxicology and environmental safety, 2020-11, Vol.204, p.111059-111059, Article 111059

2020

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Delineation of urban expansion and drought-prone areas using vegetation conditions and other geospatial indices

Theoretical and applied climatology, 2022-08, Vol.149 (3-4), p.1277-1295

2022

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First person – Tiyasha Sarkar

Biology open, 2020-09, Vol.9 (9)

2020

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Deep Learning for Prediction of Water Quality Index Classification: Tropical Catchment Environmental Assessment

Natural resources research (New York, N.Y.), 2021-12, Vol.30 (6), p.4235-4254

2021

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Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

Engineering applications of computational fluid mechanics, 2021-01, Vol.15 (1), p.1585-1612

2021

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

Journal of cleaner production, 2023-01, Vol.385, p.135522, Article 135522

2023

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

Journal of environmental management, 2022-05, Vol.309, p.114711-114711, Article 114711

2022

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

Complexity (New York, N.Y.), 2022, Vol.2022 (1)

2022

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

IEEE access, 2021, Vol.9, p.150532-150544

2021

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Prognostic significance of tumor-associated macrophages in endometrial adenocarcinoma

Gynecologic oncology, 2014-11, Vol.135 (2), p.176-183

2014

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INFLUENCE OF A POOR LIFESTYLE ON THE DEVELOPMENT OF CYSTS IN WOMEN

Journal of Advanced Zoology, 2023-12, Vol.44 (S6), p.2081-2088

Tiyasha Saha, Rupesh Dutta Banik

2023

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Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models

Environmental science and pollution research international, 2021-06, Vol.28 (24), p.31670-31688

2021

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Cumulative multiple early life hits- a potent threat leading to neurological disorders

Brain research bulletin, 2019-04, Vol.147, p.58-68

2019

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Accumulation of ALDH1-positive cells after neoadjuvant chemotherapy predicts treatment resistance and prognosticates poor outcome in ovarian cancer

Oncotarget, 2015-06, Vol.6 (18), p.16437-16448

2015

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Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models

Neural computing & applications, 2024, Vol.36 (23), p.14119-14150

2024

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Kosi-Ganga-River-Creek 35 years’ Additive Time Series and Seasonal Analysis Using Remote Sensing Data

IOP conference series. Earth and environmental science, 2023-07, Vol.1216 (1), p.12004

2023

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Alpha-Fetoprotein- and CD40Ligand-Expressing Dendritic Cells for Immunotherapy of Hepatocellular Carcinoma

Cancers, 2021-07, Vol.13 (13), p.3375

2021

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Perinatal exposure to synergistic multiple stressors leads to cellular and behavioral deficits mimicking Schizophrenia-like pathology

Biology open, 2022-03, Vol.11 (3)

2022

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Groundwater level prediction using machine learning models: A comprehensive review

A survey on river water quality modelling using artificial intelligence models: 2000–2020

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

Numerical analysis of pile group, piled raft, and footing using finite element software PLAXIS 2D and GEO5

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

Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models

A data-driven approach to river discharge forecasting in the Himalayan region: Insights from Aglar and Paligaad rivers

Manganese (Mn) removal prediction using extreme gradient model

Delineation of urban expansion and drought-prone areas using vegetation conditions and other geospatial indices

First person – Tiyasha Sarkar

Deep Learning for Prediction of Water Quality Index Classification: Tropical Catchment Environmental Assessment

Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

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

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

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

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

Prognostic significance of tumor-associated macrophages in endometrial adenocarcinoma

INFLUENCE OF A POOR LIFESTYLE ON THE DEVELOPMENT OF CYSTS IN WOMEN

Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models

Cumulative multiple early life hits- a potent threat leading to neurological disorders

Accumulation of ALDH1-positive cells after neoadjuvant chemotherapy predicts treatment resistance and prognosticates poor outcome in ovarian cancer

Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models

Kosi-Ganga-River-Creek 35 years’ Additive Time Series and Seasonal Analysis Using Remote Sensing Data

Alpha-Fetoprotein- and CD40Ligand-Expressing Dendritic Cells for Immunotherapy of Hepatocellular Carcinoma

Perinatal exposure to synergistic multiple stressors leads to cellular and behavioral deficits mimicking Schizophrenia-like pathology

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