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Ronay Ak
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A survey of the advancing use and development of machine learning in smart manufacturing
M Sharp, R Ak, T Hedberg Jr
Journal of manufacturing systems 48, 170-179, 2018
2642018
Automatic localization of casting defects with convolutional neural networks
M Ferguson, R Ak, YTT Lee, KH Law
2017 IEEE international conference on big data (big data), 1726-1735, 2017
2372017
Detection and segmentation of manufacturing defects with convolutional neural networks and transfer learning
MK Ferguson, AK Ronay, YTT Lee, KH Law
Smart and sustainable manufacturing systems 2, 2018
2202018
Two machine learning approaches for short-term wind speed time-series prediction
R Ak, O Fink, E Zio
IEEE transactions on neural networks and learning systems 27 (8), 1734-1747, 2015
1862015
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
G de Souza Pereira Moreira, S Rabhi, JM Lee, R Ak, E Oldridge
15th ACM Conference on Recommender Systems, 143-153, 2021
1312021
An interval-valued neural network approach for uncertainty quantification in short-term wind speed prediction
R Ak, V Vitelli, E Zio
IEEE transactions on neural networks and learning systems 26 (11), 2787-2800, 2015
962015
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment
R Ak, Y Li, V Vitelli, E Zio, EL Droguett, CMC Jacinto
Expert Systems with Applications 40 (4), 1205-1212, 2013
772013
Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load
R Ak, YF Li, V Vitelli, E Zio
International Journal of Electrical Power & Energy Systems 95, 213-226, 2018
552018
A survey on knowledge transfer for manufacturing data analytics
SH Bang, R Ak, A Narayanan, YT Lee, H Cho
Computers in Industry 104, 116-130, 2019
512019
Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML)
J Park, D Lechevalier, R Ak, KH Ferguson, Max, Law, YT Lee, ...
ASTM International's journal, Smart and Sustainable Manufacturing Systems 1 …, 2017
372017
A neural network meta-model and its application for manufacturing
D Lechevalier, S Hudak, R Ak, YT Lee, S Foufou
2015 IEEE International Conference on Big Data (Big Data), 1428-1435, 2015
352015
Analysis and optimization based on reusable knowledge base of process performance models
A Brodsky, G Shao, M Krishnamoorthy, A Narayanan, D Menascé, R Ak
The International Journal of Advanced Manufacturing Technology 88, 337-357, 2017
312017
A genetic algorithm and neural network technique for predicting wind power under uncertainty
YFL Ronay Aka, V Vitellia, E Zio
Chemical Engineering 33, 2013
272013
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation
GSP Moreira, S Rabhi, R Ak, MY Kabir, E Oldridge
arXiv preprint arXiv:2107.05124, 2021
252021
Data analytics and uncertainty quantification for energy prediction in manufacturing
R Ak, R Bhinge
2015 IEEE International Conference on Big Data (Big Data), 2782-2784, 2015
222015
Multi-objective genetic algorithm optimization of a neural network for estimating wind speed prediction intervals
R Ak, YF Li, V Vitelli, E Zio
222013
Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance models
A Brodsky, G Shao, M Krishnamoorthy, A Narayanan, D Menascé, R Ak
2015 IEEE International Conference on Big Data (Big Data), 1418-1427, 2015
212015
A proposed risk model and a GIS framework for hazardous materials transportation
R Ak, B Bozkaya
2008 IEEE International Engineering Management Conference, 1-5, 2008
212008
A time-based model and GIS framework for assessing hazardous materials transportation risk in urban areas
R Ak, M Bahrami, B Bozkaya
Journal of Transport & Health 19, 100943, 2020
172020
Using Deep Learning to Win the Booking. com WSDM WebTour21 Challenge on Sequential Recommendations.
B Schifferer, C Deotte, JF Puget, GSP Moreira, G Titericz, J Liu, R Ak
WebTour@ WSDM, 22-28, 2021
142021
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