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Author

Khim Chhantyal

Observed names: K. Chhantyal, Khim Chhantyal Kjartan
ORCID: 0000-0002-4514-0838
Observed ORCID: 0000-0002-4514-0838
OpenAlex ID: A5032164185
Data-driven Modeling of Ship Motion Prediction Based on Support Vector Regression
2017 · Bikram Kawan, Hao Wang, et al. · Linköping electronic conference proceedings · 21
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Upstream Ultrasonic Level Based Soft Sensing of Volumetric Flow of Non-Newtonian Fluids in Open Venturi Channels
2018 · Khim Chhantyal, Morten Hansen Jondahl, et al. · IEEE Sensors Journal · 19
Soft Sensing of Non-Newtonian Fluid Flow in Open Venturi Channel Using an Array of Ultrasonic Level Sensors—AI Models and Their Validations
2017 · Khim Chhantyal, Håkon Viumdal, et al. · Sensors · 16
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Ultrasonic level sensors for flowmetering of non-Newtonian fluids in open Venturi channels: Using data fusion based on Artificial Neural Network and Support Vector Machines
2016 · Khim Chhantyal, Hakon Viumdal, et al. · IEEE Sensors Applications Symposium (SAS) · 16
Flow Rate Estimation using Dynamic Arti?cial Neural Networks with Ultrasonic Level Measurements
2018 · Khim Chhantyal, Minh Hoang, et al. · Linköping electronic conference proceedings · 11
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Ultrasonic level scanning for monitoring mass flow of complex fluids in open channels — A novel sensor fusion approach using AI techniques
2017 · Khim Chhantyal, Hakon Viumdal, et al. · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · 10
Estimating viscosity of non-Newtonian fluids using support vector regression method: Rheological parameters of drilling fluids using data fusion
2016 · Khim Chhantyal, Hakon Viumdal, et al. · IEEE Sensors Applications Symposium (SAS) · 9
Artificial Neural Networks (ANNs) for Density and Viscosity Predictions of CO2 Loaded Alkanolamine + H2O Mixtures
2020 · Sumudu S. Karunarathne, Khim Chhantyal, et al. · ChemEngineering · 7
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A Case Study on Setting Up an Auto-Driller to Prevent Instability
2025 · K. Chhantyal, A. G. Padir · SPE/IADC Drilling Conference · 5
Drill-Off Tests for Drilling Optimization: Pitfalls and How to Avoid Them
2023 · Khim Chhantyal, Åge Kyllingstad, et al. · SPE/IADC Drilling Conference · 3
Online Drilling Fluid Flowmetering in Open Channels with Ultrasonic Level Sensors using Critical Depths
2017 · Khim Chhantyal, Håkon Viumdal, et al. · Linköping electronic conference proceedings · 3
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Adaptive Response Time for Integrated Autodriller Controller
2021 · Khim Chhantyal Kjartan, Thor Birgisson, et al. · Linköping electronic conference proceedings · 2
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ANN-Based Correlations for Excess Properties to Represent Density and Viscosity of Aqueous Monoethanol Amine (MEA) Mixtures
2022 · Sumudu Karunarathne, Khim Chhantyal, et al. · Linköping electronic conference proceedings · 1
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Sensor Data Fusion based Modelling of Drilling Fluid Return Flow through Open Channels
2018 · Khim Chhantyal · BIBSYS Brage (BIBSYS (Norway)) · 1
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Improving ultrasonic multi-level measurements with wavelets - results from separators and smelters
2016 · Khim Chhantyal, Hakon Viumdal, et al. · IEEE International Ultrasonics Symposium · 1
Dynamic Arti?cial Neural Network (DANN) MATLAB Toolbox for Time Series Analysis and Prediction
2018 · Khim Chhantyal, Minh Hoang, et al. · Linköping electronic conference proceedings
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Works count: 16
Citation count: 125
H-index: 7
I10-index: 6
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