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Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks
(arxiv.org, 2022)
Indigenous African languages are categorized as under-served in Artificial Intelligence and suffer poor digital inclusivity and information access. The challenge has been how to use machine learning and deep learning models ...
Fostering innovation and intercultural exchange during a global pandemic: Lessons learned from a virtual design thinking challenge in Nepal
(Springer, Cham, 2021)
Countries in the majority world are widely argued to be most severely affected by the corona pandemic. To fight the outbreak of the virus and reduce risks of economic hardships and starvation these countries need an ability ...
KenSwQuAD – A Question Answering Dataset for Swahili Low Resource Language
(arxiv.org, 2022)
This research developed a Kencorpus Swahili Question Answering Dataset KenSwQuAD from
raw data of Swahili language, which is a low resource language predominantly spoken in
Eastern African and also has speakers in other ...
Social engineering based cyber-attacks in kenya
(IEEE, 2020)
Cybersecurity is a major challenge especially as the world transitions to the fourth industrial revolution. Cybercriminals are always perceived to be using complex sophisticated mechanisms to launch attacks to information ...
Phonemic Representation and Transcription for Speech to Text Applications for Under-resourced Indigenous African Languages: The Case of Kiswahili
(arxiv.org, 2022)
Building automatic speech recognition (ASR) systems is a challenging task, especially for under resourced languages that need to construct corpora nearly from scratch and lack sufficient training
data. It has emerged ...
Phonemic Representation and Transcription for Speech to Text Applications for Under-resourced Indigenous African Languages: The Case of Kiswahili
(Cornell University, 2022)
Building automatic speech recognition (ASR) systems is a challenging task, especially for underresourced languages that need to construct corpora nearly from scratch and lack sufficient training
data. It has emerged that ...
A Review of Smartphone as an Office: Security Risks and Mitigation Measures
(setjournal.com, 2023-04-24)
Smartphones have become the most popular mode of communication as well as a novel mode of work, allowing users to work from anywhere and increasing their efficiency and responsiveness. However, the flexibility and convenience ...
Detecting Remote Access Network Attacks Using Supervised Machine Learning Methods
(Modern Education and Computer Science Press, 2023-04-01)
Remote access technologies encrypt data to enforce policies and ensure protection. Attackers leverage such techniques to launch carefully crafted evasion attacks introducing malware and other unwanted traffic to the internal ...
Effects of tangrams on learning engagement and achievement: Case of preschool learners
(Journal of Computer Assisted Learning ,wiley., 2020-08)
The purpose of this research was to compare the effectiveness of physical and virtual tangrams on preschool children's learning engagement and achievement. Children listened to an e‐storybook narration and solved puzzles ...
Framework for Technology-Enriched Active Class Learning of Physics in Secondary Schools in Kenya
(IGI Global, 2021)
Active learning transforms the learning process and activities from tutor focused to learner-cantered and is driven by the learner's learning ability. In other words, active learning provides an opportunity for self-directed ...