Banamali Panigrahi

Closure to “Comparative Evaluation of Machine-Learning Models for Predicting Daily Evapotranspiration in a Naturally Ventilated Greenhouse”

Bibhuti Bhusan Sahoo, Mohammad Najafzadeh, Santosh DT, Thandra Jithendra et autres

in, ir, ca, us (code pays fourni par la source)

On the complementary roles of XVARS and SHAP in explainable AI

Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Hoshin Gupta et autres

ca, au, us (code pays fourni par la source)

Ilya M. Sobol’ (1926–2025): A Tribute and Overview of the Foundations of Global Sensitivity Analysis, Recent Advances, and Extensions toward Explainable Artificial Intelligence

Saman Razavi, Banamali Panigrahi, Hamed Abbasnezhad

The recent passing of Ilya M. Sobol’ marks the loss of one of the most influential figures in the development of global sensitivity analysis (GSA). Sobol’s work fundamentally shaped how uncertainty in model outputs is attributed to uncertain inputs, providing a rigorous …

au, ca (code pays fourni par la source)

Comparative Evaluation of Machine-Learning Models for Predicting Daily Evapotranspiration in a Naturally Ventilated Greenhouse

Bibhuti Bhusan Sahoo, Mohammad Najafzadeh, Santosh DT, Thandra Jithendra et autres

Accurate determination of reference evapotranspiration (ET0) is crucial for optimizing irrigation scheduling in greenhouse environments, ensuring optimal plant growth and resource management. This study aims to identify the most accurate method for predicting ET0 in naturally ventilated greenhouse conditions. Four machine learning …

in, ir, us (code pays fourni par la source)

On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis

Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell et autres

Abstract Machine learning (ML) is increasingly considered the solution to environmental problems where limited or no physico‐chemical process understanding exists. But in supporting high‐stakes decisions, where the ability to explain possible solutions is key to their acceptability and legitimacy, ML can fall …

ca, au, us (code pays fourni par la source)

Water quality assessment of a novel pilot-scale pit lake in the alberta oil sands region

Banamali Panigrahi, Lorne E. Doig, Immanuela Ezugba, Catherine Estefany Davila-Arenas et autres

ca, fr (code pays fourni par la source)

Explainable AI: XVARS Outperforms SHAP in Terms of Computational Speed and Sampling Robustness

Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Hoshin V. Gupta et autres

ca, us (code pays fourni par la source)

Spatio-temporal analysis of water chemistry and ecotoxicological risk characterisation for a constructed pilot-scale pit lake in the Athabasca oil sands region, Canada

Banamali Panigrahi, Lorne E. Doig, Catherine Estefany Davila-Arenas, Immanuela Ezugba et autres

Substantial quantities of fine tailings and oil sands process affected water (OSPW) require reclamation in the Athabasca oil sands (AOS) region, Canada. Towards this end, Lake Miwasin was created as a pilot-scale pit lake containing treated fluid tailings (bottom sediment) capped with …

ca, fr (code pays fourni par la source)

Selenium bioaccumulation in Daphnia pulex via aqueous and dietary exposure

Catherine Estefany Davila-Arenas, Lorne E. Doig, Xiaowen Ji, Banamali Panigrahi et autres

ca, us (code pays fourni par la source)

Toxicity Evaluation of Water and Pore Water from a Pilot-Scale Pit Lake in the Alberta Oil Sands Region to Daphnia Species

Catherine Estefany Davila-Arenas, Lorne E. Doig, Xiaowen Ji, Banamali Panigrahi et autres

ca, us (code pays fourni par la source)

On Robustness of the Explanatory Power of Machine Learning Models

Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell et autres

Machine learning (ML) is increasingly considered the solution to environmental problems where only limited or no physico-chemical process understanding is available. But when there is a need to provide support for high-stake decisions, where the ability to explain possible solutions is key …

ca, au, us, kh (code pays fourni par la source)

Effects of diluted effluent on aquatic macroinvertebrate communities at the McClean Lake uranium operation in northern Saskatchewan

Beatriz Cupe‐Flores, Maíra Peixoto Mendes, Iain D. Phillips, Banamali Panigrahi et autres

ca (code pays fourni par la source)