P
Prashant K. Tarun
Researcher at Missouri Western State University
Publications - 11
Citations - 53
Prashant K. Tarun is an academic researcher from Missouri Western State University. The author has contributed to research in topics: Stochastic programming & International airport. The author has an hindex of 4, co-authored 10 publications receiving 44 citations. Previous affiliations of Prashant K. Tarun include University of Texas at Arlington.
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Journal ArticleDOI
Adaptive value function approximation for continuous-state stochastic dynamic programming
TL;DR: This paper presents a sequential method that can adaptively determine both sample size and model structure within ADP, and introduces an AVFA algorithm, that increments the size of the state space training data in each sequential step, and for each sample size a successive model search process is performed to find an optimal NN model.
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Touch pressure and sensory density after tarsal tunnel release in diabetic neuropathy
TL;DR: There was marked, significant postoperative improvement of mean touch pressure 1-point threshold, compared with preoperative values, for medial calcaneal, medial plantar, and lateral plantar nerves in both non-diabetic and diabetic patients.
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Data mining modeling on the environmental impact of airport deicing activities
Huiyuan Fan,Prashant K. Tarun,Dachuan T. Shih,Seoung Bum Kim,Victoria C. P. Chen,Jay M. Rosenberger,Dan Bergman +6 more
TL;DR: Decision tree models were developed to determine important explanatory variables for predicting levels of COD and DO in the airport's waterways and the impact of glycol usage on DO was apparent as every decision tree at least one group with a median DO below 4.0mg/l was associated with high gly col usage.
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Optimizing Selection of Technologies in a Multiple Stage, Multiple Objective Wastewater Treatment System
TL;DR: The results obtained are practical as evidenced by the selection of new technologies in levels 1 and 5 thereby validating expert's decision to include them in the evaluation process, and quite general in its application to a variety of large-scale MSMO problems.
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Data-driven optimization for Dallas Fort Worth International Airport deicing activities
Huiyuan Fan,Prashant K. Tarun,Victoria C. P. Chen,Dachuan T. Shih,Jay M. Rosenberger,Seoung Bum Kim,Robert A. Horton +6 more
TL;DR: A prototype data-driven deicing activities management framework for DFW is proposed to address the complexity of airport deicing operations and its impacts and improvements in DO compared with actual DO recorded in the data were mixed.