All Outputs (216)

Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments (2018)
Conference Proceeding
McGough, S., Forshaw, M., Brennan, J., Al Moubayed, N., & Bonner, S. (2018). Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. In 2018 Ninth International Green and Sustainable Computing Conference (IGSC) (1-8). https://doi.org/10.1109/igcc.2018.8752115

High Throughput Computing (HTC) provides a convenient mechanism for running thousands of tasks. Many HTC systems exploit computers which are provisioned for other purposes by utilising their idle time - volunteer computing. This has great advantages... Read More about Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.

Making sense of sensors: mobile sensor security awareness and education (2018)
Conference Proceeding
Mehrnezhad, M., Toreini, E., & Alajrami, S. (2018). Making sense of sensors: mobile sensor security awareness and education.

Renewable Energy Based Efficient Framework for Sustainability of Data Centres (2018)
Thesis
Aujla, G. S. (2018). Renewable Energy Based Efficient Framework for Sustainability of Data Centres. (Thesis). Computer Science and Engineering, Thapar University

Towards Universal Representation for Unseen Action Recognition (2018)
Conference Proceeding
Zhu, Y., Long, Y., Guan, Y., Newsam, S., & Shao, L. (2018). Towards Universal Representation for Unseen Action Recognition. . https://doi.org/10.1109/cvpr.2018.00983

Self-healing Routing and Other Problems in Compact Memory (2018)
Journal Article
Castañeda, A., Lefèvre, J., & Trehan, A. (2018). Self-healing Routing and Other Problems in Compact Memory

Φ Clust: Pheromone-Based Aggregation for Robotic Swarms (2018)
Conference Proceeding
Arvin, F., Turgut, A. E., Krajnik, T., Rahimi, S., Okay, I. E., Yue, S., …Lennox, B. (2018). Φ Clust: Pheromone-Based Aggregation for Robotic Swarms. . https://doi.org/10.1109/iros.2018.8593961

In this paper, we proposed a pheromone-based aggregation method based on the state-of-the-art BEECLUST algorithm. We investigated the impact of pheromone-based communication on the efficiency of robotic swarms to locate and aggregate at areas with a... Read More about Φ Clust: Pheromone-Based Aggregation for Robotic Swarms.

Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues (2018)
Conference Proceeding
Zarachoff, M., Sheikh-Akbari, A., & Monekosso, D. (2018). Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues.

AdCaS: Adaptive Caching for Storage Space Analysis Using Content Centric Networking (2018)
Conference Proceeding
Gulati, A., Aujla, G. S., Kumar, N., Obaidat, M. S., & Ahmed, S. H. (2018). AdCaS: Adaptive Caching for Storage Space Analysis Using Content Centric Networking. . https://doi.org/10.1109/glocomw.2018.8644368

AMNet: Memorability Estimation with Attention (2018)
Conference Proceeding
Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). AMNet: Memorability Estimation with Attention. . https://doi.org/10.1109/cvpr.2018.00666

Affect Detection for Human-Horse Interaction (2018)
Conference Proceeding
Althobaiti, T., Katsigiannis, S., West, D., Bronte-Stewart, M., & Ramzan, N. (2018). Affect Detection for Human-Horse Interaction. . https://doi.org/10.1109/ncg.2018.8593113

Multiprecision Algorithms for Computing the Matrix Logarithm (2018)
Journal Article
Fasi, M., & Higham, N. J. (2018). Multiprecision Algorithms for Computing the Matrix Logarithm. SIAM Journal on Matrix Analysis and Applications, 39(1), https://doi.org/10.1137/17m1129866

Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy (2018)
Conference Proceeding
Maciel-Pearson, B., Carbonneau, P., & Breckon, T. (2018). Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy. In Proc. Towards Autonomous Robotic Systems Conference (147-158). https://doi.org/10.1007/978-3-319-96728-8_13

Compact routing messages in self-healing trees (2018)
Journal Article
Castañeda, A., Dolev, D., & Trehan, A. (2018). Compact routing messages in self-healing trees. Theoretical Computer Science, 709, 2 - 19. https://doi.org/10.1016/j.tcs.2016.11.022

A deep convolutional auto-encoder with embedded clustering (2018)
Conference Proceeding
Alqahtani, A., Xie, X., Deng, J., & Jones, M. W. (2018). A deep convolutional auto-encoder with embedded clustering. . https://doi.org/10.1109/icip.2018.8451506

Dispersion of Mobile Robots (2018)
Conference Proceeding
Augustine, J., & Moses Jr., W. K. (2018). Dispersion of Mobile Robots. . https://doi.org/10.1145/3154273.3154293

Applying Computational Analysis to Textual Data from the Wild (2018)
Conference Proceeding
Concannon, S. J., Balaam, M., Simpson, E., & Comber, R. (2018). Applying Computational Analysis to Textual Data from the Wild. . https://doi.org/10.1145/3173574.3173800

Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification (2018)
Conference Proceeding
Long, Y., Tan, Y., Organisciak, D., Yang, L., & Shao, L. (2018). Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification.

Adaptive Visual-Depth Fusion Transfer (2018)
Conference Proceeding
Cai, Z., Long, Y., & Shao, L. (2018). Adaptive Visual-Depth Fusion Transfer.

Learning Structured Models for Active Planning: Beyond the Markov Paradigm Towards Adaptable Abstractions (2018)
Thesis
Lieck, R. (2018). Learning Structured Models for Active Planning: Beyond the Markov Paradigm Towards Adaptable Abstractions. (Thesis). Universität Stuttgart

Large-scale Optical Character Recognition of Pre-modern Chinese Texts (2018)
Journal Article
Sturgeon, D. (2018). Large-scale Optical Character Recognition of Pre-modern Chinese Texts. International Journal of Buddhist Thought & Culture, 28(2), https://doi.org/10.16893/ijbtc.2018.12.28.2.11