| 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 | 273 | 2017 |
| 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 | 164 | 2011 |
| Water demand forecasting: review of soft computing methods I Ghalehkhondabi, E Ardjmand, WA Young, GR Weckman Environmental monitoring and assessment 189, 1-13, 2017 | 121 | 2017 |
| 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 | 104 | 2016 |
| 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 | 95 | 2019 |
| 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 | 58 | 2012 |
| 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 | 49 | 2020 |
| Defining, understanding, and addressing big data TJ Bihl, WA Young II, GR Weckman International Journal of Business Analytics (IJBAN) 3 (2), 1-32, 2016 | 49 | 2016 |
| 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 | 45 | 2011 |
| 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 | 44 | 2014 |
| 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 | 39 | 2008 |
| 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 | 34 | 2020 |
| 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 | 32 | 2021 |
| 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 | 31 | 2013 |
| 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 | 29 | 2016 |
| 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 | 29 | 2010 |
| 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 | 28 | 2018 |
| 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 | 27 | 2015 |
| 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 | 23 | 2009 |
| 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 | 22 | 2010 |
Gary WeckmanProfessor of Industrial and Systems Engineering, Ohio Universityohio.edu의 이메일 확인됨
