Leisa J. Armstrong
Orcid: 0000-0002-9634-016X
  According to our database1,
  Leisa J. Armstrong
  authored at least 22 papers
  between 2004 and 2024.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2024
    Hum. Centric Intell. Syst., September, 2024
    
  
  2023
    Signal Image Video Process., October, 2023
    
  
  2021
Overlapping Cell Nuclei Segmentation in Digital Histology Images using Intensity-based Contours.
    
  
    Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
    
  
  2020
Detecting deviations from activities of daily living routines using kinect depth maps and power consumption data.
    
  
    J. Ambient Intell. Humaniz. Comput., 2020
    
  
  2017
Characterising the Impact of Drought on Jowar (Sorghum spp) Crop Yield Using Bayesian Networks.
    
  
    Proceedings of the Intelligent Systems Design and Applications, 2017
    
  
Fingerprint Based Gender Identification Using Digital Image Processing and Artificial Neural Network.
    
  
    Proceedings of the Intelligent Systems Design and Applications, 2017
    
  
Automatic Identification of Malaria Using Image Processing and Artificial Neural Network.
    
  
    Proceedings of the Intelligent Systems Design and Applications, 2017
    
  
    Proceedings of the Intelligent Systems Design and Applications, 2017
    
  
  2016
Designing a multilanguage blended learning system for Thai agricultural science students.
    
  
    Proceedings of the IEEE International Conference on Teaching, 2016
    
  
A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images.
    
  
    Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016
    
  
Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis.
  
    Proceedings of the Advances in Mass Data Analysis of Images and Signals in Medicine, 2016
    
  
Type P63 Non-counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis.
    
  
    Proceedings of the 20th International Conference Information Visualisation, 2016
    
  
Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis.
    
  
    Proceedings of the International Image Processing, Applications and Systems, 2016
    
  
    Proceedings of the 2016 International Conference on Advances in Computing, 2016
    
  
Assessing impact of seasonal rainfall on rice crop yield of Rajasthan, India using association rule mining.
    
  
    Proceedings of the 2016 International Conference on Advances in Computing, 2016
    
  
An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images.
    
  
    Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
    
  
Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis.
    
  
    Proceedings of the Articulated Motion and Deformable Objects, 2016
    
  
  2015
An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images.
    
  
    Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
    
  
  2010
    Int. J. Hum. Cap. Inf. Technol. Prof., 2010
    
  
  2009
Selecting Areas for Land Use Change in a Catchment.
  
    Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009
    
  
  2007
The application of data mining techniques to characterize agricultural soil profiles.
    
  
    Proceedings of the Data Mining and Analytics 2007, 2007
    
  
  2004
Securing Web Services with XML aware Digital Signatures.
  
    Proceedings of the 2nd Australian Information Security Management Conference, 2004