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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 : practical innovations, open solutions, 7, 102232-102238. https://doi.org/10.1109/access.2019.2929866

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 to many complications and affects the normal functioning of various organs, such as e... Read More

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, 2(1), 17-40. doi: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

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

Some machine learning algorithms have shown a better overall recognition rate for facial 11 recognition than humans, provided that the models are trained with massive image databases of 12 human faces. However, it is still a challenge to use existing... Read More

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

Capturing the dynamics of cellular automata, for the generation of synthetic persian music, using conditional restricted Boltzmann machines (2017)
Book Chapter
Davis, D. N., & Arshi, S. (2017). Capturing the dynamics of cellular automata, for the generation of synthetic persian music, using conditional restricted Boltzmann machines. In Artificial Intelligence XXXIV; Lecture Notes in Computer Science, 72-86. Springer Verlag. https://doi.org/10.1007/978-3-319-71078-5_6

© Springer International Publishing AG 2017. In this paper the generative and feature extracting powers of the family of Boltzmann Machines are employed in an algorithmic music composition system. Liquid Persian Music (LPM) system is an audio generat... Read More

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

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

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

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

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

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), doi: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

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

Fuzzy rule-based system applied to risk estimation of cardiovascular patients (2013)
Journal Article
Bohacik, J., & Davis, D. (2013). Fuzzy rule-based system applied to risk estimation of cardiovascular patients. Journal of Multiple-Valued Logic and Soft Computing, 20(5-6), 445-466

Cardiovascular decision support is one area of increasing research interest. On-going collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based... Read More

Risk estimation of cardiovascular patients using Weka (2012)
Conference Proceeding
Bohacik, J., Davis, D., & Benedikovic, M. (2012). Risk estimation of cardiovascular patients using Weka

Cardiovascular diseases remain the most prevalent cause of deaths worldwideand their prevention requires major life-style changes using limited health-care resources.Remote decision support for cardiovascular patients seems to allow them to lead a pr... Read More

A comparative study of missing value imputation with multiclass classification for clinical heart failure data (2012)
Conference Proceeding
Zhang, Y., Kambhampati, C., Davis, D. N., Goode, K., & Cleland, J. G. F. (2012). A comparative study of missing value imputation with multiclass classification for clinical heart failure data. In Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on, 2840-2844. https://doi.org/10.1109/fskd.2012.6233805

Clinical data often contains missing values. Imputation is one of the best known schemes to overcome the drawbacks associated with missing values in data mining tasks. In this work, we compared several imputation methods and analyzed their performanc... Read More

Alert rules for remote monitoring of cardiovascular patients (2012)
Journal Article
Bohacik, J., & Davis, D. (2012). Alert rules for remote monitoring of cardiovascular patients. Journal of information technologies, 5(1), 16 - 23

Cardiovascular disease is the leading cause of death in most European countries and its prevention requires major life-style changes using limited health-care resources. Remote cardiovascular decision support seems to allow cardiovascular patients to... Read More

Diagnosis and management of cardiovascular disease with an intelligent decision-making support system (2012)
Journal Article
Bohacik, J., & Davis, D. (2012). Diagnosis and management of cardiovascular disease with an intelligent decision-making support system. ULAB journal of science and engineering, 3(1), 42888

Cardiovascular disease is the principal cause of death in most European countries and may have a major negativeimpact on the patients' functional status, productivity, and quality of life. It seems an automatic decision support system couldlower thes... Read More

Estimation of cardiovascular patient risk with a Bayesian network (2011)
Presentation / Conference
Bohacik, J., & Davis, D. (2011, June). Estimation of cardiovascular patient risk with a Bayesian network. Presented at Transcom 2011

Cardiovascular decision-making support experiences increasing research interest of scientists.Ongoing collaborations between clinicians and computer scientists are looking at the application of datamining techniques to the area of individual patient... Read More

Data mining applied to cardiovascular data (2010)
Journal Article
Bohacik, J., & Davis, D. (2010). Data mining applied to cardiovascular data

Medical decision support is one area of increasing research interest. Ongoing collaborations between cardiovascular clinicians and computer scientists are looking at the application of data mining techniques to the area of individual patient diagnosi... Read More

robo-CAMAL: A BDI Motivational Robot (2010)
Journal Article
Gwatkin, J., & Davis, D. (2010). robo-CAMAL: A BDI Motivational Robot. Paladyn journal of behavioural robotics, 1(2), 116-129. doi:10.2478/s13230-010-0010-4

Motivation is a central concept in the development of autonomous agents and robots. This paper describes an architecture that uses a psychological BDI model of reasoning, combined with a distributed multi-level model of motivation. The robot controll... Read More