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Gary Weckman
Gary Weckman
Professor of Industrial and Systems Engineering, Ohio University
Bestätigte E-Mail-Adresse bei ohio.edu
Titel
Zitiert von
Zitiert von
Jahr
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
2602017
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
1602011
A neural network job-shop scheduler
GR Weckman, CV Ganduri, DA Koonce
Journal of Intelligent Manufacturing 19, 191-201, 2008
1352008
Water demand forecasting: review of soft computing methods
I Ghalehkhondabi, E Ardjmand, WA Young, GR Weckman
Environmental monitoring and assessment 189, 1-13, 2017
1162017
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
1032016
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
1032001
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
952015
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
912019
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
702006
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
Defining, understanding, and addressing big data
TJ Bihl, WA Young II, GR Weckman
International Journal of Business Analytics (IJBAN) 3 (2), 1-32, 2016
492016
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
482020
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
482008
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
442014
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
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
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
372018
Assessing dependability of wireless networks using neural networks
A Snow, P Rastogi, G Weckman
MILCOM 2005-2005 IEEE Military Communications Conference, 2809-2815, 2005
342005
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
332020
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