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ORCIDJournal of Computational Science, Volume 19
Volume 19, March 2017
- Jens Lang, Janett Prehl
:
An embarrassingly parallel algorithm for random walk simulations on random fractal structures. 1-10 - Iván García-Magariño, Inmaculada Plaza:
ABS-MindHeart: An agent based simulator of the influence of mindfulness programs on heart rate variability. 11-20 - Mark Ibrahim, Christopher M. Danforth, Peter Sheridan Dodds:
Connecting every bit of knowledge: The structure of Wikipedia's First Link Network. 21-30 - S. Hr. Aghay Kaboli, J. Selvaraj, Nasrudin Abd. Rahim:
Rain-fall optimization algorithm: A population based algorithm for solving constrained optimization problems. 31-42 - Ramiro H. Gálvez, Agustín Gravano:
Assessing the usefulness of online message board mining in automatic stock prediction systems. 43-56 - Araz Eghbal, Andrew G. Gerber, Eric Aubanel:
Acceleration of unsteady hydrodynamic simulations using the parareal algorithm. 57-76 - Ali Mirsepahi, Arash Mehdizadeh, Lei Chen, Brian O'Neill, Morteza Mohammadzaheri:
Comparison of inverse modelling and optimization-based methods in the heat flux estimation problem of an irradiative dryer/furnace. 77-85 - M. Mordhorst, Timm Strecker, Daniel Wirtz, Thomas Heidlauf, Oliver Röhrle:
POD-DEIM reduction of computational EMG models. 86-96 - Tiago P. Hillerman, João Carlos Félix Souza, Ana Carla B. Reis, Rommel N. Carvalho:
Applying clustering and AHP methods for evaluating suspect healthcare claims. 97-111 - Sumarga Kumar Sah Tyagi, Deepak Kumar Jain, Steven Lawrence Fernandes, Pranab K. Muhuri:
Thermal-aware power-efficient deadline based task allocation in multi-core processor. 112-120 - Shishir Kumar, Neha Jain, Steven Lawrence Fernandes:
Rough set based effective technique of image watermarking. 121-137 - Sunil Kumar Jauhar, Millie Pant, Atulya K. Nagar:
Sustainable educational supply chain performance measurement through DEA and differential evolution: A case on Indian HEI. 138-152 - Javeria Amin, Muhammad Sharif, Mussarat Yasmin, Hussam Ali, Steven Lawrence Fernandes:
A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions. 153-164
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