• A Hybrid Machine Learning Model for Detecting and Preventing Corruption in Kenya’s Public Procurement Contracts 

  Ndolo, Melchizedeck; Wanjoya, Anthony; Kasyoka, Philemon (Science Publishing group., 2025-10-10)

  Corruption in public procurement undermines fiscal sustainability, distorts competition, and reduces service quality. Conventional anti-corruption controls-manual audits, rule-based checks, and ex-post reviews-struggle to ...
• Credit Risk Indicators for Microfinance Institutions within Machakos County, Kenya 

  Kasina, Martin M.; Kihoro, John M.; Kibet, Alex (Fifth Dimension Research Publication., 2025-12)

  Microfinance institutions in Kenya play a unique role in promoting financial inclusion, loans, and savings provision, especially to low-income individuals and small-scale entrepreneurs. However, despite their benefits, ...
• A Predictive Intelligence Model for Fake News Detection on Online Media. 

  Kamwira, Titus; Muriuki, David; Khadullo, Kennedy (Fifth Dimension Research Publication., 2025)

  The spread of fake news in the present day has been a common occurrence especially in online social networks. Unverified news on social media have huge negative impact on public trust, political processes, and societal ...
• A Privacy-Preserving Data Governance in Cross-Border Telemedicine Using Federated Learning and Differential Privacy in Kenya. 

  Meyo, Michael; Ikamari, Cynthia; Mile, Anthony (Science Publishing group., 2025-09-19)

  This study presents a privacy-preserving learning model designed for cross-border telemedicine in East Africa that keeps raw patient records in country while hospitals collaborate on model quality. The core of this approach ...
• A drought forecasting model using the prophet time series analysis technique. 

  Katumo, Eric; Katila, Charles; Omolo, Richard; Hadullo, Ken (Fifth Dimension Research Publication., 2025-08)

  Drought remains one of the most devastating environmental hazards, significantly affecting agricultural productivity, water availability, and socio-economic stability, particularly in semi-arid regions like Machakos County, ...
• An Enhanced Hybrid Machine Learning Model for Detecting DoS Attacks in IoT Network. 

  Ngunyi, Beatrice; Muriuki, David; Anyembe, Andrew (Fifth Dimension Research Publication., 2025)

  The rapid expansion of Internet of Things (IoT) infrastructures has introduced new security vulnerabilities, particularly Denial of Service (DoS) attacks that compromise system availability and disrupt critical services. ...
• A Unified Adaptive Cyber Threat Intelligence Model for Real-Time IoT Security Using Machine Learning and GAN-Based Augmentation. 

  Mwende, Elizabeth; Mukudi, Fidelis; Mile, Anthony (Science publishing group, 2025-09-13)

  The rapid rise of Internet of Things (IoT) devices has made cybersecurity much more dangerous and vulnerable, emphasizing the critical necessity for adaptive intrusion detection systems (IDS) to safeguard IoT networks. ...
• University Students' Perception on the Usefulness of Learning Management System Features in Promoting Self-Regulated Learning in Online Learning. 

  Araka, Eric; Maina, Elizaphan; Gitonga, Rhoda; Oboko, Robert O.; Kihoro, J. M. (International Journal of Education and Development using Information and Communication Technology, 2021)

  Online learning has increasingly been adopted by most institutions of higher learning to facilitate teaching and learning as a continuum to the traditional face-to-face approach. Most of these institutions utilize Learning ...
• Efficient Certificateless Signcryption Scheme for Wireless Sensor Networks in Ubiquitous Healthcare Systems 

  Mbandu, Angolo Shem; Kimwele, Michael; Kasyoka, Nthenge Philemon (Springer, 2021-02-19)

  With the current developments in wireless networks, the use of Wireless sensor networks (WSNs) in the medical field has attracted a lot of attention. WSNs are being used to collect and transmit patient physiological ...
• Hotel room personalization via ontology and rule-based reasoning 

  Ojino, Ronald; Mich, Luisa; Mvungi, Nerey (Emerald publishing, 2022-09-12)

  Purpose: The increasingly competitive hotel industry and emerging customer trends where guests are more discerning and want a personalized experience has led to the need of innovative applications. Personalization is much ...
• A Conceptual Framework for Automatic Generation of Examinations Using Machine Learning Algorithms in Learning Management Systems 

  Cheserem, Emma; Maina, Elizaphan; Kihoro, John; Mwaura, Jonathan (Springer Nature, 2023-09-28)

  The transition of education from face-to-face to electronic learning (e-learning) has been accompanied by the application of artificial intelligence and machine learning techniques to improve teaching, learning and assessment ...
• Prediction of Levels of Happiness Using Multinomial Logit as a Neural Network: Evidence in Kenyan Youths 

  Ngari, Martin Kinyua; Wanjoya, Anthony Kibera; Kihoro, John Mwaniki (International Journal of Data Science and Analysis., 2022-04-26)

  Happiness has become a major concern across many disciplines starting form public policy, economics and psychology because of the effects that come with not being happy. Psychologist would want to know the effects of low ...
• A comprehensive analysis of the role of artificial intelligence in aligning tertiary institutions academic programs to the emerging digital enterprise 

  Nyale, Duncan; Karume, Simon; Kipkebut, Andrew (Springer Nature, 2024-05-10)

  The study explores the use of Artificial Intelligence (AI) frameworks in transforming academic programs into adaptive, industry-relevant programs.The paper explores the development, validation, and effectiveness of artificial ...
• Integrating basic artificial intelligence literacy with media and information literacy in higher education 

  Ndungu, Miriam (Journal of Information Literacy, 2024-12-03)

  This paper addresses the question of how to introduce basic artificial intelligence (AI) literacy skills to learners in higher education. It proposes that a feasible approach is to integrate AI literacy components into ...
• Knowledge Graph for Fraud Detection: Case of Fraudulent Transactions Detection in Kenyan SACCOs 

  Ojino, Ronald; Ndolo, Raphael (Springer, 2023-11-30)

  Detecting fraudulent transactions in SACCOs is essential in preventing financial losses and maintaining customer. Many SACCOs incur massive financial losses due to fraudulent activities such as corruption, asset misappropriation ...
• Mutation Based Hybrid Routing Algorithm for Mobile Ad-hoc Networks 

  Musyoka, Wilson M.; Omala, Andrew; Katila, Charles (International Journal of Computer and Information Technology, 2022)

  Mobile Adhoc NETworks (MANETs) usually present challenges such as a highly dynamic topology due to node mobility, route rediscovery process, and packet loss. This leads to low throughput, a lot of energy consumption, delay ...
• A Survey of Contemporary and Emerging Research Methods in Information Systems Research 

  Nyale, Duncan; Mwangi, Salome; Karume, Simon (International Journal of Computer Applications Technology and Research, 2022)

  This paper's major goals are to present an overview of the current research trends in information systems (IS), investigate the causes of those trends, evaluate the relevance and effectiveness of those trends, and then ...
• A Survey of Artificial Intelligence in Cyber Security 

  Nyale, Duncan; Angolo, Shem Mbandu (International Journal of Computer Applications Technology and Research, 2022)

  Artificial intelligence (AI) and cyber security are two emerging technologies in the modern world. Machine learning (ML) models serve as the cornerstone of AI. Access control, user authentication, user behaviour analysis, ...
• A Review of the Effects of Fifth-Generation Mobile Networks (5G) on the Fourth Industrial Revolution (Industry 4.0) and the Digital Transformation of Businesses 

  Nyale, Duncan; Katila, Charles (International Journal of Computer Applications Technology and Research, 2022)

  More than just a generational shift, the arrival of 5G creates a whole new range of opportunities for every sector of the economy. It signifies a significant change in the function that mobile technology serves in society. ...
• Towards a Blockchain Based Smart Contracts Model Design for Housing Market Applications. 

  Kibet, Alex; Thiga, Moses M; Karume, Simon Maina (International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2019-08)

  Industries worldwide are facing a technological revolution where there is a need for technologies that can speed up business processes with more safety and transparency. The real estate industry is among many other industries ...

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