Kasthurirangan Gopalakrishnan
Title
Cited by
Cited by
Year
Deep convolutional neural networks with transfer learning for computer vision-based data-driven pavement distress detection
K Gopalakrishnan, SK Khaitan, A Choudhary, A Agrawal
Construction and Building Materials 157, 322-330, 2017
3562017
Accuracy of predictive models for dynamic modulus of hot-mix asphalt
H Ceylan, CW Schwartz, S Kim, K Gopalakrishnan
Journal of Materials in Civil Engineering 21 (6), 286-293, 2009
1392009
Nanotechnology in civil infrastructure: a paradigm shift
K Gopalakrishnan, B Birgisson, P Taylor, NO Attoh-Okine
Springer Science & Business Media, 2011
1002011
Sensitivity evaluation of MEPDG performance prediction
CW Schwartz, R Li, S Kim, H Ceylan, K Gopalakrishnan
Transportation Research Board, 2012
942012
Superhydrophobic coatings on Portland cement concrete surfaces
A Arabzadeh, H Ceylan, S Kim, K Gopalakrishnan, A Sassani, ...
Construction and Building Materials 141, 393-401, 2017
612017
Neural Networks Applications in Pavement Engineering: A Recent Survey.
H Ceylan, MB Bayrak, K Gopalakrishnan
International Journal of Pavement Research & Technology 7 (6), 2014
602014
Advanced approaches to hot-mix asphalt dynamic modulus prediction
H Ceylan, K Gopalakrishnan, S Kim
Canadian Journal of Civil Engineering 35 (7), 699-707, 2008
602008
Performance analysis of airport flexible pavements subjected to new generation aircraft
K Gopalakrishnan
University of Illinois at Urbana-Champaign, 2004
592004
Soil stabilization with bioenergy coproduct
H Ceylan, K Gopalakrishnan, S Kim
Transportation research record 2186 (1), 130-137, 2010
582010
Influence of mix design variables on engineering properties of carbon fiber-modified electrically conductive concrete
A Sassani, H Ceylan, S Kim, K Gopalakrishnan, A Arabzadeh, PC Taylor
Construction and Building Materials 152, 168-181, 2017
562017
Support vector machines approach to HMA stiffness prediction
K Gopalakrishnan, S Kim
Journal of Engineering Mechanics 137 (2), 138-146, 2011
552011
Crack damage detection in unmanned aerial vehicle images of civil infrastructure using pre-trained deep learning model
K Gopalakrishnan, H Gholami, A Vidyadharan, A Choudhary, A Agrawal
International Journal for Traffic and Transport Engineering 8 (1), 1-14, 2018
522018
Looking to the future: the next-generation hot mix asphalt dynamic modulus prediction models
H Ceylan, K Gopalakrishnan, S Kim
International Journal of Pavement Engineering 10 (5), 341-352, 2009
522009
Effect of training algorithms on neural networks aided pavement diagnosis
K Gopalakrishnan
International Journal of Engineering, Science and Technology 2 (2), 83-92, 2010
502010
Deep learning in data-driven pavement image analysis and automated distress detection: A review
K Gopalakrishnan
Data 3 (3), 28, 2018
492018
New findings from centrifuge modeling of rocking shallow foundations in clayey ground
M Hakhamaneshi, BL Kutter, L Deng, TC Hutchinson, W Liu
GeoCongress 2012: State of the Art and Practice in Geotechnical Engineering …, 2012
46*2012
Wearable graphene sensors with microfluidic liquid metal wiring for structural health monitoring and human body motion sensing
Y Jiao, CW Young, S Yang, S Oren, H Ceylan, S Kim, K Gopalakrishnan, ...
IEEE Sensors Journal 16 (22), 7870-7875, 2016
452016
Neural networks modeling of stress growth in asphalt overlays due to load and thermal effects during reflection cracking
H Ceylan, K Gopalakrishnan, RL Lytton
Journal of Materials in Civil Engineering 23 (3), 221-229, 2010
442010
Sustainable and resilient critical infrastructure systems: simulation, modeling, and intelligent engineering
K Gopalakrishnan, S Peeta
Springer Science & Business Media, 2010
442010
Superhydrophobic coatings on asphalt concrete surfaces: toward smart solutions for winter pavement maintenance
A Arabzadeh, H Ceylan, S Kim, K Gopalakrishnan, A Sassani
Transportation Research Record 2551 (1), 10-17, 2016
432016
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