Forecasting retirements is a strategic challenge for human resource management in public administrations, where workforce planning and service continuity depend on reliably anticipating these departures. In practice, retirement decisions are often based on limited criteria, such...
Open access
Research Article10.9734/ajrcos/2026/v19i2824
Joël Mangoma-Joël, Levi Lubaki Budiena, Evariste Kantshia Bakatubia, Thierry Honorius Kanza, Pierre Kafunda Katalay & Richard Kitondua Lubanzadio·Asian Journal of Research in Computer Science·2026
This thesis focuses on the comparative analysis of ensemble learning methods, including bagging, boosting, and stacking, in the context of early detection of diabetic retinopathy and personalized treatment. The main objective is to propose an intelligent system capable of estimat...
Open access
Research Article10.9734/ajrcos/2026/v19i4846
Evariste Kantshia Bakatubia, Pascaline Kizodisa Mbilankazi, Fortunat Tshimanga Mbuyi, Christian Ntumba Cinema, Charles Djamba Pongembe, Pierre Kamuina Kambayi & Pierre Kafunda Katalay·Asian Journal of Research in Computer Science·2026
Smart agriculture represents an important challenge for food security and the sustainable optimisation of agricultural production systems. However, accurate agricultural yield prediction remains complex because of the nonlinear interactions among soil physicochemical parameters,...
Open access
Research Article10.9734/ajrcos/2026/v19i7881
Viviane Kaseka Katadi, Gilbert Ngoyi Maloba, Jean-Marie Ibanga Mbayo, Pélagie Mpembe Mukonkole, Clarisse Ngoyi Tshite, Mardochée Kalala Mpolesha & Pierre Kafunda Katalay·Asian Journal of Research in Computer Science·2026
The rapid spread of disinformation on social media poses a major challenge in the digital age, with significant impacts on public opinion and decision-making. In this context, this study proposes a machine learning-based approach for the automatic detection of online disinformati...
Open access
Research Article10.9734/ajrcos/2026/v19i4849