2023: Kabarak University International Conference on Data Science and Artificial Intelligence

Data Science and Artificial Intelligence Conference 2023

The 2023 Kabarak University International Conference on Data Science and Artificial Intelligence Conference was held on the 1^st, 2^nd and 3^rd February, 2023 with the theme "Development, Deployment and Adoption of Data Science and Artificial Intelligence Solutions"

Published: 2023-08-24

Data Science

Web Scraping Effective Web Scraping for Data Scientists

Victor Ashioya
An IOT based Machine Learning Model for Monitoring, Predicting and Forecasting of Demand-side Water Consumption in Nakuru County by comparing Online and Offline Machine learning Algorithms Water Analytics Model

Dalmas Wakhusama

Artificial Intelligence

An Artificial Intelligence Nutritional Education Chatbot

Joel Samoita
An Application of Gradient Boost Regressor in Birth Time Prediction Birth Time to Reduce Risks of Maternal Mortality

Theophilus Owiti
A Data-driven Model for Sustainable Deployment of Climate Smart Agriculture Practices Among Smallholder Farmers in Kakamega

Simon Ndung'u, Moses Thiga, Philip Wandahwa, Vitalis Ogema
East Coast Fever Early Detection in Kenya using Machine Learning

Walter Kiptanui Rotich
Autonomous Surveillance of Infants’ Needs using Cnn-Deep Learning Model for Audio Cry Classification: Artificial Parenting

Geofrey Owino, Anthony Gichuhi Waititu, Anthony Wanjoya, John Mitch Okwiri
Secure Messaging Application

Velorine Cherotich, Martin Wambugu Muriithi, Cynthia Jemutai Kiprop
Saving the Indian Ocean: Plastic Pollution Assessment and Monitoring Along the Tana River

Kennedy Kamande Wangari
A Gradient Boosting Regression Model for the Prediction of an Individual's Short Term Blood Pressure

Daisy Kiptoo, Moses Thiga, Pamela Kimeto, Peter Rugiri
A Stroke Prediction System Using Machine Learning

Thalma Thandie Simiyu
A Novel Automated Biodiversity Monitoring and Conservation Information System with Google Earth Engine

Nicholas Musau

Emerging and Crosscutting Issues

Curriculum Analysis: The state AI and Data Ethics Curricula in Kenyan Universities

Ken Mbuki
Machine Learning and Artificial Intelligence: Ethics & Fairness

Richard Wanjohi
Ethical and Data Protection Gaps in the Development and Review of Artificial Intelligence Solutions in Healthcare

Moses Thiga, Pamela Kimeto

2023: Kabarak University International Conference on Data Science and Artificial Intelligence

Data Science

Web Scraping Effective Web Scraping for Data Scientists

An IOT based Machine Learning Model for Monitoring, Predicting and Forecasting of Demand-side Water Consumption in Nakuru County by comparing Online and Offline Machine learning Algorithms Water Analytics Model

Artificial Intelligence

An Artificial Intelligence Nutritional Education Chatbot

An Application of Gradient Boost Regressor in Birth Time Prediction Birth Time to Reduce Risks of Maternal Mortality

A Data-driven Model for Sustainable Deployment of Climate Smart Agriculture Practices Among Smallholder Farmers in Kakamega

East Coast Fever Early Detection in Kenya using Machine Learning

Autonomous Surveillance of Infants’ Needs using Cnn-Deep Learning Model for Audio Cry Classification: Artificial Parenting

Secure Messaging Application

Saving the Indian Ocean: Plastic Pollution Assessment and Monitoring Along the Tana River

A Gradient Boosting Regression Model for the Prediction of an Individual's Short Term Blood Pressure

A Stroke Prediction System Using Machine Learning

A Novel Automated Biodiversity Monitoring and Conservation Information System with Google Earth Engine

Emerging and Crosscutting Issues

Curriculum Analysis: The state AI and Data Ethics Curricula in Kenyan Universities

Machine Learning and Artificial Intelligence: Ethics & Fairness

Ethical and Data Protection Gaps in the Development and Review of Artificial Intelligence Solutions in Healthcare

Browse

Information

Make a Submission