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William A. Young II
William A. Young II
Associate Professor of Business Analytics, College of Business, Ohio University
Verified email at ohio.edu - Homepage
Title
Cited by
Cited by
Year
An overview of energy demand forecasting methods published in 2005–2015
I Ghalehkhondabi, E Ardjmand, GR Weckman, WA Young
Energy Systems 8, 411-447, 2017
2342017
A survey of methodologies for the treatment of missing values within datasets: Limitations and benefits
W Young, G Weckman, W Holland
Theoretical Issues in Ergonomics Science 12 (1), 15-43, 2011
1492011
Water demand forecasting: review of soft computing methods
I Ghalehkhondabi, E Ardjmand, WA Young, GR Weckman
Environmental monitoring and assessment 189, 1-13, 2017
1012017
Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials
E Ardjmand, WA Young II, GR Weckman, OS Bajgiran, B Aminipour, ...
Expert systems with applications 51, 49-58, 2016
992016
A review of demand forecasting models and methodological developments within tourism and passenger transportation industry
I Ghalehkhondabi, E Ardjmand, WA Young, GR Weckman
Journal of Tourism Futures 5 (1), 75-93, 2019
852019
Modeling microalgal abundance with artificial neural networks: Demonstration of a heuristic ‘Grey-Box’to deconvolve and quantify environmental influences
DF Millie, GR Weckman, WA Young II, JE Ivey, HJ Carrick, GL Fahnenstiel
Environmental Modelling & Software 38, 27-39, 2012
562012
Defining, understanding, and addressing big data
TJ Bihl, WA Young II, GR Weckman
International Journal of Business Analytics (IJBAN) 3 (2), 1-32, 2016
482016
Modeling net ecosystem metabolism with an artificial neural network and Bayesian belief network
WA Young II, DF Millie, GR Weckman, JS Anderson, DM Klarer, ...
Environmental Modelling & Software 26 (10), 1199-1210, 2011
452011
Using artificial intelligence for CyanoHAB niche modeling: discovery and visualization of Microcystis–environmental associations within western Lake Erie
DF Millie, GR Weckman, GL Fahnenstiel, HJ Carrick, E Ardjmand, ...
Canadian journal of fisheries and aquatic sciences 71 (11), 1642-1654, 2014
432014
An intelligent model to predict energy performances of residential buildings based on deep neural networks
A Sadeghi, R Younes Sinaki, WA Young, GR Weckman
Energies 13 (3), 571, 2020
412020
Determining hall of fame status for major league baseball using an artificial neural network
WA Young, WS Holland, GR Weckman
Journal of Quantitative Analysis in Sports 4 (4), 2008
392008
Coastal ‘Big Data’and nature-inspired computation: Prediction potentials, uncertainties, and knowledge derivation of neural networks for an algal metric
DF Millie, GR Weckman, WA Young II, JE Ivey, DP Fries, E Ardjmand, ...
Estuarine, Coastal and Shelf Science 125, 57-67, 2013
312013
A hybrid artificial neural network, genetic algorithm and column generation heuristic for minimizing makespan in manual order picking operations
E Ardjmand, I Ghalehkhondabi, WA Young II, A Sadeghi, GR Weckman, ...
Expert Systems with Applications 159, 113566, 2020
292020
Using neural networks with limited data to estimate manufacturing cost
GR Weckman, HW Paschold, JD Dowler, HS Whiting, WA Young
JOURNAL OF INDUSTRIAL AND SYSTEMS ENGINEERING (JISE) 3 (4), 257-264, 2010
292010
A robust optimisation model for production planning and pricing under demand uncertainty
E Ardjmand, GR Weckman, WA Young, O Sanei Bajgiran, B Aminipour
International Journal of Production Research 54 (13), 3885-3905, 2016
272016
Using Voronoi diagrams to improve classification performances when modeling imbalanced datasets
WA Young, SL Nykl, GR Weckman, DM Chelberg
Neural Computing and Applications 26, 1041-1054, 2015
272015
A multi-objective two-echelon location-routing problem for cash logistics: A metaheuristic approach
A Fallahtafti, E Ardjmand, WA Young Ii, GR Weckman
Applied Soft Computing 111, 107685, 2021
262021
A multi-objective model for order cartonization and fulfillment center assignment in the e-tail/retail industry
E Ardjmand, OS Bajgiran, S Rahman, GR Weckman, WA Young II
Transportation Research Part E: Logistics and Transportation Review 115, 16-34, 2018
262018
KNOWLEDGE EXTRACTION FROM THE NEURAL ‘BLACK BOX'IN ECOLOGICAL MONITORING
GR Weckman, DF Millie, C Ganduri, M Rangwala, W Young, M Rinder, ...
JOURNAL OF INDUSTRIAL AND SYSTEMS ENGINEERING (JISE) 3 (1), 38-55, 2009
232009
A rule-based approach to predict forging volume for cost estimation during product design
DT Masel, WA Young, RP Judd
The International Journal of Advanced Manufacturing Technology 46, 31-41, 2010
212010
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