Research Output per year
Personal profile
Research Degree Supervision
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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
Electroencephalography
Engineering & Materials Science
Neurodegenerative diseases
Engineering & Materials Science
Early Diagnosis
Medicine & Life Sciences
Classifiers
Engineering & Materials Science
Alzheimer Disease
Medicine & Life Sciences
Critical infrastructures
Engineering & Materials Science
synchrony
Earth & Environmental Sciences
Healthy Volunteers
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2011 2018
Connecting to Smart Cities: Analyzing Energy Times Series to Visualize Monthly Electricity Peak Load in Residential Buildings
Iram, S., Fernando, T. & Hill, R., 18 Oct 2018, Proceedings of the Future Technologies Conference (FTC 2018). Arai, K., Bhatia, R. & Kapoor, S. (eds.). Springer Verlag, p. 333-342 10 p. ( Advances in Intelligent Systems and Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Time series
Energy utilization
Electricity
Intelligent buildings
Energy efficiency
Exploring Cross-Domain Data Dependencies for Smart Homes to Improve Energy Efficiency
Iram, S., Fernando, T. & Bassanino, M., 5 Dec 2017, UCC '17 Companion: Companion Proceedings of the 10th International Conference on Utility and Cloud Computing. Association for Computing Machinery (ACM), p. 221-226 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Energy efficiency
Ontology
Internet of things
A Novel Hybrid Engineering Methodology to Enhance Collaboration During the Design and Development of Meta Product Services
Iram, S., Fernando, T. & Bassanino, M., 20 Sep 2016, Collaboration in a Hyperconnected World: 17th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2016, Porto, Portugal, October 3-5, 2016, Proceedings. Afsarmanesh, H., Camarinha-Matos, L. M. & Lucas Soares, A. (eds.). Springer, Cham, p. 385-393 (IFIP Advances in Information and Communication Technology; vol. 480).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Product design
Sustainable development
Software engineering
Early Diagnosis of Neurodegenerative Diseases from Gait Discrimination to Neural Synchronization
Iram, S., Vialatte, F. & Qamar, M. I., 2016, Applied Computing in Medicine and Health: A volume in Emerging Topics in Computer Science and Applied Computing. Al-Jumeily, D., Hussain, A., Mallucci, C. & Oliver, C. (eds.). Elsevier, p. 1-26 26 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
Gait
Neurodegenerative Diseases
Early Diagnosis
Healthy Volunteers
Alzheimer Disease
A classifier fusion strategy to improve the early detection of neurodegenerative diseases
Iram, S., Fergus, P., Jumeily, D. A., Hussain, A. & Randles, M., 2015, In : International Journal of Artificial Intelligence and Soft Computing. 5, 1, p. 23-44 22 p.Research output: Contribution to journal › Article
Neurodegenerative diseases
Classifiers
Fusion reactions
Experiments
Activities 2013 2013
- 1 Oral presentation
On the Early Detection of Neurodegenerative Diseases from Gait and EEG Signals: A Machine Learning Approach
Shamaila Iram (Speaker), Dhiya Al-jumeily (Speaker), Abir Jaffar Hussain (Speaker), Paul Fergus (Speaker)31 Mar 2013
Activity: Talk or presentation types › Oral presentation