Theo dõi
Gary Weckman
Gary Weckman
Professor of Industrial and Systems Engineering, Ohio University
Email được xác minh tại ohio.edu
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
2872017
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
1652011
A neural network job-shop scheduler
GR Weckman, CV Ganduri, DA Koonce
Journal of Intelligent Manufacturing 19, 191-201, 2008
1382008
Water demand forecasting: review of soft computing methods
I Ghalehkhondabi, E Ardjmand, WA Young, GR Weckman
Environmental monitoring and assessment 189, 1-13, 2017
1282017
Modeling the reliability of repairable systems in the aviation industry
GR Weckman, RL Shell, JH Marvel
Computers & industrial engineering 40 (1-2), 51-63, 2001
1072001
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
1052016
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
1022019
Applying genetic algorithm to a new location and routing model of hazardous materials
E Ardjmand, G Weckman, N Park, P Taherkhani, M Singh
International Journal of Production Research 53 (3), 916-928, 2015
992015
Use of artificial neural networks for predicting crude oil effect on carbon dioxide corrosion of carbon steels
S Hernandez, G Weckman, V Ghai
Corrosion 62 (06), 2006
692006
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
582012
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
532020
Defining, understanding, and addressing big data
TJ Bihl, WA Young II, GR Weckman
International Journal of Business Analytics (IJBAN) 3 (2), 1-32, 2016
532016
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
482014
An integrated stock market forecasting model using neural networks
GR Weckman, S Lakshminarayanan, JH Marvel, A Snow
International Journal of Business Forecasting and Marketing Intelligence 1 …, 2008
472008
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
462011
Decision making model to predict presence of coronary artery disease using neural network and C5. 0 decision tree
E Ahmadi, GR Weckman, DT Masel
Journal of Ambient Intelligence and Humanized Computing 9, 999-1011, 2018
402018
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
402008
Selective ensemble based on extreme learning machine and improved discrete artificial fish swarm algorithm for haze forecast
X Zhu, Z Ni, M Cheng, F Jin, J Li, G Weckman
Applied Intelligence 48, 1757-1775, 2018
392018
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
372020
Assessing dependability of wireless networks using neural networks
A Snow, P Rastogi, G Weckman
MILCOM 2005-2005 IEEE Military Communications Conference, 2809-2815, 2005
362005
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