Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks (2018)
Conference Proceeding
Jan, S. U., Vu, V. H., & Koo, I. S. (2018). Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks. In 2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)-. https://doi.org/10.1109/cyberc.2018.00075

In this work, the performance of support vector machine (SVM)-based classifier, applied for spectrum sensing in cognitive radio (CR) networks, is analyzed. A single observation given input to classifier is composed of three statistical features extra... Read More about Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks.

Social learning and cultural evolution in artificial life (2018)
Journal Article
Marriott, C., Borg, J. M., Andras, P., & Smaldino, P. E. (2018). Social learning and cultural evolution in artificial life. Artificial Life, 24(1), 5-9. https://doi.org/10.1162/ARTL_a_00250

We describe the questions and discussions raised at the First Workshop on Social Learning and Cultural Evolution held at theArtificial Life Conference 2016 in Cancún, Mexico in July 2016. The purpose of the workshop was to assemble artificial life re... Read More about Social learning and cultural evolution in artificial life.

Metadata, Ethics and Trust (2018)
Journal Article
Haynes, D. (2018). Metadata, Ethics and Trust. Catalogue & Index, 2-6

Abstract not available.

Preface (2018)
Conference Proceeding
Ren, J., Hussain, A., Zheng, J., Liu, C., Luo, B., Zhao, H., & Zhao, X. (2018). Preface. In Advances in Brain Inspired Cognitive Systems (V-VI). https://doi.org/10.1007/978-3-030-00563-4

DNN driven speaker independent audio-visual mask estimation for speech separation (2018)
Conference Proceeding
Gogate, M., Adeel, A., Marxer, R., Barker, J., & Hussain, A. (2018). DNN driven speaker independent audio-visual mask estimation for speech separation. In Proceedings of the Annual Conference of the International Speech Communication Association (2723-2727). https://doi.org/10.21437/Interspeech.2018-2516

Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction (2018)
Conference Proceeding
Belakova, J., & Gkatzia, D. (2018). Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction. In Proceedings of the Workshop on NLG for Human–Robot Interaction (8-11)

One of the most natural ways for human robot communication is through spoken language. Training human-robot interaction systems require access to large datasets which are expensive to obtain and labour intensive. In this paper, we des... Read More about Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction.

Proceedings of the Workshop on NLG for Human–Robot Interaction (2018)
Conference Proceeding
(2018). Proceedings of the Workshop on NLG for Human–Robot Interaction. In M. Ellen Foster, H. Buschmeier, & D. Gkatzia (Eds.),

Ellen Foster, M., H. Buschmeier, & D. Gkatzia (Eds.) (2018). Proceedings of the Workshop on NLG for Human–Robot Interaction.

A tool for generating synthetic data (2018)
Conference Proceeding
Peng, T., & Telle, A. (2018). A tool for generating synthetic data. In DATA '18 Proceedings of the First International Conference on Data Science, E-learning and Information Systems. https://doi.org/10.1145/3279996.3280018

It is popular to use real-world data to evaluate data mining techniques. However, there are some disadvantages to use real-world data for such purposes. Firstly, real-world data in most domains is difficult to obtain for several reasons, such as budg... Read More about A tool for generating synthetic data.

A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network (2018)
Journal Article
Liu, X., Liu, Q., & Sun, M. (2018). A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network. Computers, Materials & Continua, 57(2), 179-194. https://doi.org/10.32604/cmc.2018.04025

In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselves. During the measurement, collection and transmission of electricity load... Read More about A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network.

An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment (2018)
Journal Article
Jin, D., Liu, Q., Liu, X., & Linge, N. (2019). An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment. Journal of Computers, 30(3), 130-142. https://doi.org/10.3966/199115992019063003010

Hadoop is a famous parallel computing framework that is applied to process large-scale data, but there exists such a task in hadoop framework, which is called “Straggling task” and has a serious impact on Hadoop. Speculative execution (SE) is an effe... Read More about An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment.