Browsing Journal Articles (CI) by Title

Now showing items 102-121 of 122

    • STRUCTURAL COMPLEXITY METRICS FOR LARAVEL SOFTWARE 

      Onyango, Kevin Agina.;; Muketha, Geoffrey Muchiri.;; Ndia, John Gichuki. (International Journal of Software Engineering & Applications (IJSEA),Vol.15, No.4, July 2024, 2024-07)
      Existing software complexity metrics do not adequately address the unique architectural patterns of Laravel. This research, therefore, solves this problem by proposing a suite of novel complexity metrics for Laravel software. ...

    • A Suite of Metrics for UML Behavioral Diagrams Based on Complexity Perspectives 

      King’ori, Ann W.; Muketha, Geoffrey M.; Ndia, John G. (International Journal of Software Engineering & Applications, 2024-03)
      Nowadays, software designers have adopted modelling languages that help to communicate the dynamic behavior of UML behavioral diagrams. As it is with other software artefacts, these diagrams tend to get more complex ...

    • A survey of business processes complexity metrics 

      Muketha, Geoffrey M.; Abd Ghani, A. A.; Selamat, M. H.; Atan, R. (2010)

    • A SURVEY OF CASCADING STYLE SHEETS COMPLEXITY METRICS 

      Ndia, John G.; Muketha, Geoffrey M.; Omieno, K. K. (2019-05)
      Cascading style sheets (CSS) is a Web-based style sheet language that is used for the presentation of Web documents. CSS has advanced from CSS1 to CSS3.and extensions to CSS known as CSS pre-processors have also emerged ...

    • Survey of Cyber Security Frameworks 

      Wechuli, A N.; Muketha, Geoffrey M. (2014)
      In a digital world, the national economy and welfare have grown critically dependent on the cyber infrastructure due to the capabilities and opportunities the Internet provides. This leaves organizations open to various ...

    • A Survey of Deep Learning Solutions for Anomaly Detection in Surveillance Videos 

      Munyua, John G.; Wambugu, Geoffrey M; Njenga, Stephen T. (Asian Online Journals, 2021-10)
      Deep learning has proven to be a landmark computing approach to the computer vision domain. Hence, it has been widely applied to solve complex cognitive tasks like the detection of anomalies in surveillance videos. Anomaly ...

    • A Survey of Security Protocols for Wireless Sensor Networks 

      Ndia, John G. (International Journal of Applied computer Science, 2017)
      There are numerous wireless sensor network (WSN) applications being developed day to day. These applications range from simple environmental monitoring such as collecting temperatures in an agricultural farm to complex ...

    • A Survey of Topic Model Inference Techniques 

      Wambugu, Geoffrey M; Okeyo, George.; Kimani, Stephen. (International Journal of Computer and Information Technology, 2018)
      — Latent Dirichlet Allocation (LDA) is a probabilistic topic model that aims at organizing, visualizing, summarizing, searching, predicting and understanding the content of any given text data. The model enables users ...

    • A Suvery of Biometric Authentication Technologies Towards Secure And Robust Systems: A Case Study of Mount Kenya University 

      Wambui, B. M.; Gikandi, J. W.; Wambugu, Geoffrey M (2022-03)
      In response to the increased demand for more effective authentication methods, the usage of biometric authentication to secure systems against unwanted access has grown. Because of the recent COVID-19 pandemic outbreak, ...

    • SWAHILI TEXT AND SPEECH CORPUS: A REVIEW 

      Oirere, Aaron M.; Deshmukh, Ratnadeep R.; Shrishrimal, Pukhraj P.; Waghmare, Vishal B. (Innovative Journal, 2012)
      This paper explores the review of Swahili text and speech databases/corpus in different dimensions i.e. word, sentence and phrases selections with their phonetics and selection of speakers. It also reviles the availability ...

    • System Log Parameter Attributes for Predicting Software Failures: Systematic Literature Review 

      Muchori, Juliet Gathoni; Kamau, Gabriel Ndung’u; Ndung’u, Rachael (International Journal of Advanced Trends in Computer Science and Engineering, 2025)
      The early prediction of software failure is important in the field of software engineering since it leads to the development of better quality software, along with a reduction in maintenance cost and effort. However, even ...

    • A Systematic Literature Review of Meta-Learning Models for Classification Tasks 

      Kamiri, Jackson; Wambugu, Geoffrey M; Oirere, Aaron (International Journal of Computer Applications Technology and Research Volume 11–Issue 03, 56-65, 2022)
      : Meta-learning is a field of learning that aims at addressing the challenges of conventional machine learning approaches such as learning from scratch for every new task. The main aim of this study was to do a systematic ...

    • A systematic literature review on security indicators for open-source enterprise resource planning software 

      Njuki, Jane W.; Muketha, Geoffrey M.; Ndia, John G. (2022-05)
      Open-source enterprise resource planning (ERP) software has become a preferred alternative for modern organizations due to its affordable cost, availability and ease of access. Open-source software allows access to ...

    • Tackling Data Related Challenges in Healthcare Process Mining using Visual Analytics 

      Ondimu, K. O.; Omieno, K. K.; Muketha, Geoffrey M.; Lukandu, I. A. (IJCAT, 2018-10)
      Data-science approaches such as Visual analytics tend to be process blind whereas process-science approaches such as process mining tend to be model-driven without considering the "evidence" hidden in the data. Use of ...

    • Transaction Costs and Facilitating Conditions as Indicators of the Adoption of Mobile Money Services in Kenya 

      Micheni, E.M.; Lule, I.; Muketha, Geoffrey M. (2013)
      Kenya is depicted as one of the fastest growing mobile money ecosystem in the world. In addition to the traditional text and voice services, all mobile phone service providers in Kenya have incorporated mobile money as a ...

    • Trust Attributes in Multi-Path Congestion Avoidance Techniques to Curb Wormhole Attacks in Wireless Sensor Networks 

      Mwihaki, Fortine Mata; Muketha, Geoffrey Muchiri; Kamau, Gabriel Ndung’u (Journal of Computer Networks,, 2024)
      Wireless sensor networks (WSNs) have become widespread in recent years due to their uses in healthcare, infrastructure monitoring, environmental sensing, tactical surveillance, and defense. However, their inherent ...

    • Trust-Based Security Technique to Curb Cooperative Blackhole Attacks in Mobile Ad Hoc Networks using OTB-DSR Protocol in NS-3 

      Mwangi, Ephantus G.; Muketha, Geoffrey M.; Kamau, Gabriel N. (Global Journals, 2020-12)
      The advent of mobile technology led to the emergence of Mobile Ad-hoc networks (MANETs). These networks have no infrastructure and central authority. Nodes in MANETs act as both routers and hosts. MANET nodes join and ...

    • Use of Concept Map Scaffolds to Promote Adaptive E-Learning in Web-Based System 

      Stephen, Njenga (2016)
      Scaffolds are a good method of implementing self-regulated learning. Use of prior knowledge makes the learner to understand a topic better. Learner adaptation enables a learner to be presented with content that matches ...

    • Using Feature Selection Methods to Discover Common Users’ Preferences for Online Recommender Systems 

      Ndung'u, Rachel N.; Kamau, Gabriel N.; Wambugu, Geoffrey M (2021-01)
      Recommender systems have taken over user’s choice to choose the items/services they want from online markets, where lots of merchandise is traded. Collaborative filtering-based recommender systems uses user opinions and ...

    • Validating Complexity Metrics for Laravel Software 

      Onyango, Kevin Agina; Muketha, Geoffrey Muchiri; Ndia, John Gichuki (International Journal of Software Engineering (IJSE),, 2025)
      The increasing complexity of Laravel software poses significant challenges to modifiability, necessitating the definition ofmetrics to assess and controlcomplexity. There exist metrics to measure Laravel complexity, ...