Fuzzy clustering of time series data using dynamic time warping distance H Izakian, W Pedrycz, I Jamal Engineering Applications of Artificial Intelligence 39, 235-244, 2015 | 334 | 2015 |
Clustering-based anomaly detection in multivariate time series data J Li, H Izakian, W Pedrycz, I Jamal Applied Soft Computing 100, 106919, 2021 | 202 | 2021 |
Multivariate time series anomaly detection: A framework of Hidden Markov Models J Li, W Pedrycz, I Jamal Applied Soft Computing 60, 229-240, 2017 | 174 | 2017 |
Clustering spatiotemporal data: An augmented fuzzy c-means H Izakian, W Pedrycz, I Jamal IEEE transactions on fuzzy systems 21 (5), 855-868, 2012 | 133 | 2012 |
Anovel framework for automatic passenger counting S Mukherjee, BN Saha, I Jamal, R Leclerc, N Ray 2011 18th IEEE international conference on image processing, 2969-2972, 2011 | 64 | 2011 |
Mining free-text medical records for companion animal enteric syndrome surveillance RM Anholt, J Berezowski, I Jamal, C Ribble, C Stephen Preventive veterinary medicine 113 (4), 417-422, 2014 | 59 | 2014 |
Optical biosensors with an integrated Mach-Zehnder Interferometer for detection of Listeria monocytogenes D Sarkar, NSK Gunda, I Jamal, SK Mitra Biomedical microdevices 16, 509-520, 2014 | 39 | 2014 |
The application of medical informatics to the veterinary management programs at companion animal practices in Alberta, Canada: a case study RM Anholt, J Berezowski, K MacLean, ML Russell, I Jamal, C Stephen Preventive veterinary medicine 113 (2), 165-174, 2014 | 16 | 2014 |
Analysis, design and fabrication of optical waveguides for Mach–Zehnder Interferometry D Sarkar, I Jamal, SK Mitra Optics Communications 311, 338-345, 2013 | 15 | 2013 |
T2r: System for converting textual documents into rdf triples K Hassanzadeh, M Reformat, W Pedrycz, I Jamal, J Berezowski 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2013 | 13 | 2013 |
A granular description of data: a study in evolvable systems W Pedrycz, J Berezowski, I Jamal Learning in Non-Stationary Environments: Methods and Applications, 57-75, 2012 | 5 | 2012 |
Optimization of event detection methods for disease surveillance. L Zhang, I Jamal, Y Qu, G Zeng | 2 | 2011 |
Surveillance to manage disease on Canadian Swine Farms J Berezowski, C Byra, E Brockhoff, D Hurnik, C Klopfenstein, H Kloeze, ... Online Journal of Public Health Informatics 7 (1), 2015 | 1 | 2015 |
A real-time 3d visualization framework for multimedia data management, simulation, and prediction: Case study in geospatial-temporal biomedical disease surveillance networks N Rossol, I Cheng, I Jamal, J Berezowski, A Basu Multimedia Data Engineering Applications and Processing, 244-260, 2013 | 1 | 2013 |
An extensible interactive 3D visualization framework for N-dimensional datasets used in heterogeneous software display environments N Rossol, I Cheng, J Berezowski, I Jamal International Symposium on Visual Computing, 508-517, 2011 | 1 | 2011 |
Optimal allocation of’BOD’loadings in a tidal river IB Jamal University of British Columbia, 1986 | 1 | 1986 |
Stochastic river modelling to estimate flood probabilities of a tidal river IB Jamal University of British Columbia, 1980 | 1 | 1980 |
D3. 4-Development of a Lab-on-a-Chip for Detection of Bacteria in Food Samples SK Mitra, D Sarkar, I Jamal Proceedings SENSOR 2013, 525-530, 2013 | | 2013 |
A Real-Time 3D Visualization Framework for Multimedia Data Management, Simulation, and Prediction N Rossol, I Cheng, I Jamal, J Berezowski | | 2013 |
Data visualization and information consuming: a strategy to collate and disseminate surveillance information for information consumers. T Herntier, J Berezowski, J Bystrom, S Checkley, C Christianson, R Clarke, ... | | 2011 |