Concepedia

Travis Kessler

TK

5

Publications

152

Citations

5

H-Index

2017

Active since

Affiliations

University of Massachusetts Lowell(Current)

Travis Kessler is an author at University of Massachusetts Lowell specializing in engineering, data science, and neural networks (machine learning).

Top concepts

EngineeringData ScienceForecastingProcess DesignSocial SciencesMachine LearningYield PredictionChemical EngineeringDeep Neural NetworksPetroleum Production

Publications per year

2017–2023

5

Publications

5

Artificial neural network based predictions of cetane number for furanic biofuel additives

Travis Kessler, Eric R. Sacia, Alexis T. Bell et al. · Fuel · 2017 · 81 citations · Full text

Process Design, Chemical Engineering, Cetane Number +7

A comparison of computational models for predicting yield sooting index

Travis Kessler, Peter C. St. John, Junqing Zhu et al. · Proceedings of the Combustion Institute · 2020 · 32 citations · Full text

Engineering, Data Science, Predictive Analytics +5

Application of a Rectified Linear Unit (ReLU) Based Artificial Neural Network to Cetane Number Predictions

Travis Kessler, Gregory Dorian, J. Hunter Mack · 2017 · 15 citations · Full text

Artificial Intelligence, Cetane Number Predictions, Model Optimization +13

ECNet: Large scale machine learning projects for fuel property prediction

Travis Kessler, J. Hunter Mack · The Journal of Open Source Software · 2017 · 14 citations · Full text

Artificial Neural Network Models for Octane Number and Octane Sensitivity: A Quantitative Structure Property Relationship Approach to Fuel Design

Amina SubLaban, Travis Kessler, Noah Van Dam et al. · Journal of Energy Resources Technology · 2023 · 10 citations · Full text

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