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DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values (2019)
Journal Article
Wang, Q., Cao, W., Guo, J., Ren, J., Cheng, Y., & Davis, D. N. (2019). DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values. IEEE Access, 7, 102232-102238. https://doi.org/10.1109/ACCESS.2019.2929866

© 2019 Institute of Electrical and Electronics Engineers Inc.. All rights reserved. As a widely known chronic disease, diabetes mellitus is called a silent killer. It makes the body produce less insulin and causes increased blood sugar, which leads t... Read More about DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values.

Ionic Imbalances and Coupling in Synchronization of Responses in Neurons (2019)
Journal Article
Sadegh-Zadeh, S., Kambhampati, C., & Davis, D. N. (2019). Ionic Imbalances and Coupling in Synchronization of Responses in Neurons. J — Multidisciplinary Scientific Journal, 2(1), 17-40. https://doi.org/10.3390/j2010003

Most neurodegenerative diseases (NDD) are a result of changes in the chemical composition of neurons. For example, Alzheimer's disease (AD) is the product of Aβ peptide deposition which results in changes in the ion concentration. These changes in io... Read More about Ionic Imbalances and Coupling in Synchronization of Responses in Neurons.

An adaptive ensemble approach to ambient intelligence assisted people search (2018)
Journal Article
Xue, D., Wang, X., Zhu, J., Davis, D. N., Wang, B., Zhao, W., …Cheng, Y. (2018). An adaptive ensemble approach to ambient intelligence assisted people search. Applied System Innovation, 1(3), 1-18. https://doi.org/10.3390/asi1030033

Some machine learning algorithms have shown a better overall recognition rate for facial recognition than humans, provided that the models are trained with massive image databases of human faces. However, it is still a challenge to use existing algor... Read More about An adaptive ensemble approach to ambient intelligence assisted people search.

Security feature measurement for frequent dynamic execution paths in software system (2018)
Journal Article
Wang, Q., Ren, J., Yang, X., Cheng, Y., Davis, D. N., & Hu, C. (2018). Security feature measurement for frequent dynamic execution paths in software system. Security and communication networks, 2018, 1-10. https://doi.org/10.1155/2018/5716878

© 2018 Qian Wang et al. The scale and complexity of software systems are constantly increasing, imposing new challenges for software fault location and daily maintenance. In this paper, the Security Feature measurement algorithm of Frequent dynamic e... Read More about Security feature measurement for frequent dynamic execution paths in software system.

Reasoning with BDI robots: from simulation to physical environment – implementations and limitations (2017)
Journal Article
Davis, D. N., & Ramulu, S. K. (2017). Reasoning with BDI robots: from simulation to physical environment – implementations and limitations. Paladyn journal of behavioural robotics, 8(1), 39-57. https://doi.org/10.1515/pjbr-2017-0003

In this paper an overview of the state of research into cognitive robots is given. This is driven by insights arising from research that has moved from simulation to physical robots over the course of a number of sub-projects. A number of major issue... Read More about Reasoning with BDI robots: from simulation to physical environment – implementations and limitations.

An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure (2017)
Journal Article
Wang, Q., Ren, J., N Davis, D., & Cheng, Y. (2018). An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure. Intelligent Automation and Soft Computing, 24(2), 399-404. https://doi.org/10.1080/10798587.2017.1340135

Frequent pattern mining usually requires much run time and memory usage. In some applications, only the patterns with top frequency rank are needed. Because of the limited pattern numbers, quality of the results is even more important than time and m... Read More about An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure.

Combining depth and intensity images to produce enhanced object detection for use in a robotic colony (2017)
Journal Article
Balding, S., & Davis, D. N. (2017). Combining depth and intensity images to produce enhanced object detection for use in a robotic colony. Lecture notes in computer science, 10454, 115-125. https://doi.org/10.1007/978-3-319-64107-2_10

Robotic colonies that can communicate with each other and interact with their ambient environments can be utilized for a wide range of research and industrial applications. However amongst the problems that these colonies face is that of the isolatin... Read More about Combining depth and intensity images to produce enhanced object detection for use in a robotic colony.

Analysis of the EPSRC Principles of Robotics in regard to key research topics (2017)
Journal Article
Gning, A., Davis, D. N., Cheng, Y., & Robinson, P. (2017). Analysis of the EPSRC Principles of Robotics in regard to key research topics. Connection Science, 29(3), 249-253. https://doi.org/10.1080/09540091.2017.1323456

© 2017 Informa UK Limited, trading as Taylor & Francis Group. In this paper, we review the five rules published in EPSRC Principles of Robotics with a specific focus on future robotics research topics. It is demonstrated through a pictorial represe... Read More about Analysis of the EPSRC Principles of Robotics in regard to key research topics.

Artificial minds with consciousness and common sense aspects (2017)
Journal Article
Shylaja, K., Vijayakumar, M., Prasad, E. V., & Davis, D. N. (2017). Artificial minds with consciousness and common sense aspects. International journal of agent technologies and systems, 9(1), 20-42. https://doi.org/10.4018/ijats.2017010102

The research work presented in this article investigates and explains the conceptual mechanisms of consciousness and common-sense thinking of animates. These mechanisms are computationally simulated on artificial agents as strategic rules to analyze... Read More about Artificial minds with consciousness and common sense aspects.

Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data (2016)
Journal Article
Davis, D., & Rahman, M. (2016). Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data. Journal of Informatics and Data Mining, 1(2), Article 13. https://doi.org/10.21767/2472-1956.100013

Legacy (and current) medical datasets are rich source of information and knowledge. However, the use of most legacy medical datasets is beset with problems. One of the most often faced is the problem of missing data, often due to oversights in data c... Read More about Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data.

Mining frequent biological sequences based on bitmap without candidate sequence generation (2015)
Journal Article
Wang, Q., Davis, D. N., & Ren, J. (2016). Mining frequent biological sequences based on bitmap without candidate sequence generation. Computers in biology and medicine, 69, 152-157. https://doi.org/10.1016/j.compbiomed.2015.12.016

Biological sequences carry a lot of important genetic information of organisms. Furthermore, there is an inheritance law related to protein function and structure which is useful for applications such as disease prediction. Frequent sequence mining i... Read More about Mining frequent biological sequences based on bitmap without candidate sequence generation.