Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018)
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-04316-3
Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from ...
Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022)
Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, https://doi.org/10.1016/j.phycom.2021.101584
The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solu...
Ontology-Driven Automated Generation of Data Entry Interfaces to Databases
Cannon, A., Kennedy, J. B., Paterson, T., & Watson, M. F. (2004)
Ontology-Driven Automated Generation of Data Entry Interfaces to Databases. In H. Williams, & L. Mackinnon (Eds.), Key Technologies for Data Management; Lecture Notes in Computer Science, 150-164. doi:10.1007/978-3-540-27811-5_15
This paper discusses an ontology based approach for the automatic generation of data entry interfaces to databases. An existing domain ontology is mapped to a system domain mo...
Visual Exploration of Alternative Taxonomies through Concepts
Graham, M., & Kennedy, J. (2007)
Visual Exploration of Alternative Taxonomies through Concepts. Ecological Informatics, 2, 248-261. https://doi.org/10.1016/j.ecoinf.2007.07.004
A graphical user interface is presented that allows users of taxonomic data to explore concept relationships between conflicting but related taxonomic classifications.
An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs
Liu, X., & Liu, Q. (2017)
An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. In X. Sun, H. C. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security (ICCCS 2017), (450-459). https://doi.org/10.1007/978-3-319-68505-2_39
With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. Ho...
A Review on Deep Learning Approaches to Image Classification and Object Segmentation
Wu, H., Liu, Q., & Liu, X. (2019)
A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595
Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Pr...
DEEPC: Dynamic Energy Profiling of Components
Liu, X., Chinenyeze, S. J., & Al-Dubai, A. (2016)
DEEPC: Dynamic Energy Profiling of Components. In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)https://doi.org/10.1109/COMPSAC.2016.90
Many software projects are built using reusable components (i.e. reusable objects - as per component and connectors in software architectures). During component selection in C...
Integrating View Schemata Using an Extended Object Definition Language
Roantree, M., Kennedy, J. B., & Barclay, P. J. (2001)
Integrating View Schemata Using an Extended Object Definition Language. In C. Batini, F. Giunchiglia, P. Giorgini, & M. Mecella (Eds.), Cooperative Information Systems; Lecture Notes in Computer Science (150-163). https://doi.org/10.1007/3-540-44751-2_13
View mechanisms play an important role in restructuring data for users, while maintaining the integrity and autonomy for the underlying database schema. Although far more comp...
An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment
Liu, X., & Liu, Q. (2017)
An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment. In Proceedings of 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), (128-131). https://doi.org/10.1109/cse-euc.2017.208
Hadoop is a famous distributed computing framework that is applied to process large-scale data. "Straggling tasks" have a serious impact on Hadoop performance due to imbalance...
Evaluation of a genetic representation for outline shapes
Lapok, P., Lawson, A., & Paechter, B. (2017)
Evaluation of a genetic representation for outline shapes. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1419-1422). https://doi.org/10.1145/3067695.3082501
This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real...