A Review on Deep Learning Approaches to Image Classification and Object Segmentation (2019)
Journal Article
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. Present proposed artificial neural networks and optimization skills have effe... Read More about A Review on Deep Learning Approaches to Image Classification and Object Segmentation.

Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space (2017)
Presentation / Conference Contribution
Singh Jamnal, G., Liu, X., & Fan, L. (2017, July). Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. Presented at The 29th International Conference on Software Engineering and Knowledge Engineering

In this paper, we proposed a new type of decision making system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used as building blocks to understand inhabitant activity patterns. The collecte... Read More about Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space.

TARGO: transition and reallocation based green optimization for Cloud VMs. (2013)
Presentation / Conference Contribution
Fang, D., Liu, X., Liu, L., & Yang, H. (2013, August). TARGO: transition and reallocation based green optimization for Cloud VMs

Much research has been conducted focusing on improving resource utilization efficiency in data centers in the context of Green Cloud Computing (GCC). While virtualization enables better resource provision and utilization for various computational res... Read More about TARGO: transition and reallocation based green optimization for Cloud VMs..

Recognize contextual situation in pervasive environments using process mining techniques (2010)
Journal Article
Jaroucheh, Z., Liu, X., & Smith, S. (2011). Recognize contextual situation in pervasive environments using process mining techniques. Journal of Ambient Intelligence and Humanized Computing, 2(1), 53-69. https://doi.org/10.1007/s12652-010-0038-7

Research in pervasive computing and ambience intelligence aims to enable users to interact with the environment in a context-aware way. To achieve this, a complex set of features describing different aspects of the environment has to be captured and... Read More about Recognize contextual situation in pervasive environments using process mining techniques.

A Perspective on Middleware-Oriented Context-Aware Pervasive Systems (2009)
Presentation / Conference Contribution
Jaroucheh, Z., Liu, X., & Smith, S. (2009, July). A Perspective on Middleware-Oriented Context-Aware Pervasive Systems. Presented at 2009 33rd Annual IEEE International Computer Software and Applications Conference

The evolving concepts of mobile computing, context-awareness, and ambient intelligence are increasingly influencing user's experience of services. Therefore, the goal of this paper is to provide an overview of recent developments and implementations... Read More about A Perspective on Middleware-Oriented Context-Aware Pervasive Systems.