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Profile

Name: Mr. Zachary Kirori

Qualifications

  • MSc Computer Science, University of Nairobi, 2011

  • BSc Computer Science, University of Nairobi, 2003

External Links/Affiliations

  1. Http:/goggle scholar account
  2. Http:/Research Gate Account
  3. https://www.iaeng.org/
  4. Peer Reviewer with International Association of Engineers (IAENG)
  5. UN syllabus review and development in Information Technology and Computer Science
  6. Information Systems Audit and Control Association (ISACA)
  7. Computer Society of Kenya (CSK)

Publications

  1. Ireri, E. & Kirori, Z. (2022). An architectural framework for training deep neural networks for predictive task modeling. International Journal of Social Sciences and Information Technology.
  2. Achieng, M., Kirori, Z., Karanja, & Waititu, A. (2022). Adapting Information Technology to Boost Sustainable Entrepreneurship through Handy Banking Habits. Proceedings of the Sustainable Research and Innovation Conference (JKUAT)
  3. An application of the Logitboost Algorithm in loan appraisals in the International Journal of Intelligent Information Systems, May 2013 (IJIIS)
  4. Assessing the Readiness by SMEs and Financial Institutions in The Establishment of an Integrated ICT Infrastructure for Financial Transactions in Kenya in the International Journal of Intelligent Information Systems, May 2013(IJIIS)
  5. A Window-Based Approach to Training Deep Neural Networks for Predictive Sequence Modeling in the African Journal of Science, Technology and Engineering (AJSTE), September 2020
  6. Performance Analysis of Stochastic Gradient Descent - Based Algorithms for Time Series Sequence Modeling in the Elixir Journal, May 2019
  7. A Risk-Based Conservative model for cloud services deployment in higher education in the International Journal of Computer Science Engineering (IJCSE), June 2019
  8. Hyper-parameter optimization: towards practical sentiment analysis using a Convolutional Neural Network (CNN) in the Research Journal of Computer and Information Technology Sciences(RJCITS), December 2019
  9. Towards Optimization of the Gated Recurrent Unit (GRU) for regression modeling in the International Journal of Social Sciences and Information Technology, October 2020