A computational fluid dynamics based artificial neural network model to predict solid particle erosion DA Pandya, BH Dennis, RD Russell Wear 378, 198-210, 2017 | 35 | 2017 |
Introduction to deep learning: Part 1 A Gupta Chem. Eng. Prog 114 (6), 22-29, 2018 | 30 | 2018 |
Increasing production efficiency via compressor failure predictive analytics using machine learning D Pandya, A Srivastava, A Doherty, S Sundareshwar, C Needham, ... Offshore Technology Conference, D011S002R006, 2018 | 30 | 2018 |
High-resolution multi-objective optimization of feedstock landscape design for hybrid first and second generation biorefineries TH Nguyen, J Granger, D Pandya, K Paustian Applied energy 238, 1484-1496, 2019 | 22 | 2019 |
ESP data analytics: use of deep autoencoders for intelligent surveillance of electric submersible pumps OA Alamu, DA Pandya, O Warner, I Debacker Offshore technology conference, D011S013R006, 2020 | 19 | 2020 |
A low cost micro scale cyclone separator-design and computational fluid dynamics analysis D Pandya The University of Texas at Arlington, 2010 | 10 | 2010 |
Soft-prompt Tuning for Large Language Models to Evaluate Bias JJ Tian, D Emerson, SZ Miyandoab, D Pandya, L Seyyed-Kalantari, ... arXiv preprint arXiv:2306.04735, 2023 | 4 | 2023 |
Diagnosing and remediating harmful data shifts for the responsible deployment of clinical AI models V Subasri, A Krishnan, A Dhalla, D Pandya, D Malkin, F Razak, AA Verma, ... medRxiv, 2023.03. 26.23286718, 2023 | 4 | 2023 |
CyclOps: cyclical development towards operationalizing ML models for health A Krishnan, V Subasri, K McKeen, A Kore, F Ogidi, M Alinoori, N Lalani, ... medRxiv, 2022.12. 02.22283021, 2022 | 4 | 2022 |
Digital Twins for Predicting Early Onset of Failures Flow Valves D Pandya, B Lam, S Suursula, P Kwaspen AIChE Spring Meeting and Global Congress on Process Safety 2018, https://www …, 2018 | 4 | 2018 |
An Improved Computational Fluid Dynamics (CFD) Model for Erosion Prediction in Oil and Gas Industry Applications D Pandya, B Dennis, R Russell International Conference on Offshore Mechanics and Arctic Engineering 45400 …, 2014 | 4 | 2014 |
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training? S Raza, S Ghuge, C Ding, D Pandya arXiv preprint arXiv:2401.11033, 2024 | 3 | 2024 |
Development of Computational Fluid Dynamics (CFD) based erosion models for oil and gas industry application D Pandya The University of Texas at Arlington, 2013 | 3 | 2013 |
Efficient Evaluation of Bias in Large Language Models through Prompt Tuning JJ Tian, D Emerson, D Pandya, L Seyyed-Kalantari, F Khattak Socially Responsible Language Modelling Research, 2023 | 1 | 2023 |
CyclOps: a unified framework for data extraction and rigorous evaluation of ML models for clinical use-cases V Subasri, A Krishnan, YS Kaden McKeen, M Koshkina, N Lalani, ... Machine Learning for Healthcare, 2022 | 1 | 2022 |
Numerical Simulation of Laminar Flow Heat Transfer Enhancement Using Surface Modification AS Paranjape, NC Maniar, DA Pandya, BH Dennis International Design Engineering Technical Conferences and Computers and …, 2014 | 1 | 2014 |
A Low Cost Micro Scale Cyclone Microparticle Separator-Design and CFD Analysis DA Pandya, BH Dennis International Design Engineering Technical Conferences and Computers and …, 2011 | 1 | 2011 |
Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts S Raza, C Ding, D Pandya arXiv preprint arXiv:2307.10213, 2023 | | 2023 |
MLHOps: Machine Learning for Healthcare Operations FK Khattak, V Subasri, A Krishnan, E Dolatabadi, D Pandya, ... arXiv preprint arXiv:2305.02474, 2023 | | 2023 |
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support S Obadinma, FK Khattak, S Wang, T Sidhom, E Lau, S Robertson, J Niu, ... arXiv preprint arXiv:2302.03222, 2023 | | 2023 |