Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mgala, Mvurya"'
Autor:
Mgala, Mvurya
Academic performance prediction modelling provides an opportunity for learners' probable outcomes to be known early, before they sit for final examinations. This would be particularly useful for education stakeholders to initiate intervention measure
Externí odkaz:
http://hdl.handle.net/11427/23463
Publikováno v:
Frontiers in Artificial Intelligence; 2024, p01-10, 10p
Autor:
Mgala Mvurya, Fullgence Mwakondo
Publikováno v:
Multidisciplinary Journal of Technical University of Mombasa. 2:27-34
Social media has become part and parcel of students’ life in colleges as it occupies most of their free times. Over time, results of programming units have shown a downward trend among college students at Technical University of Mombasa in Kenya. P
Publikováno v:
Multidisciplinary Journal of Technical University of Mombasa. 2:35-44
This paper presents a machine learning architecture of a hierarchical model for mapping skills to industry roles. Currently, researchers have been approaching the problem of selecting industry roles for potential employees using flat and top-down met
Publikováno v:
International Journal of Scientific Research in Science, Engineering and Technology. :138-148
Social media allow people to communicate with others and this has increased online communication. There are numerous risks of attack on the use of internet and cyber criminals across the digital world. Cyber-crimes is the latest and the most sophisti
Autor:
Mgala Mvurya
Publikováno v:
Multidisciplinary Journal of Technical University of Mombasa. 1:1-7
Artificial Intelligence (AI) is the human-like intelligence given to systems and demonstrated by machines in doing tasks associated with human intelligence. AI systems can therefore, think like humans, act like humans, think rationally or act rationa
Publikováno v:
ACM International Conference Proceeding Series; 11/21/2016, p203-207, 5p
Autor:
Mgala, Mvurya, Mbogho, Audrey
Publikováno v:
ACM International Conference Proceeding Series; May2015, p1-8, 8p
Autor:
Mgala, Mvurya, Mbogho, Audrey
Publikováno v:
Advanced Machine Learning Technologies & Applications: Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings; 2014, p211-222, 12p