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A Deep Learning Model for Predicting Stock Prices in Tanzania
(Engineering, Technology & Applied Science Research, 2023-04-02)
Stock price prediction models help traders to reduce investment risk and choose the most profitable stocks.
Machine learning and deep learning techniques have been applied to develop various models. As there is a
lack ...
Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants
(MDPI, 2024-03-06)
Uncertainty quantification and sensitivity analysis are essential for improving the modeling
and estimation of greenhouse gas emissions in livestock farming to evaluate and reduce the impact
of uncertainty in input ...
Machine learning model for predicting Peste des Petits Ruminants
(IEEE, 2023-11-16)
Peste des petits ruminants (PPR) is a viral disease that affects small ruminants and is prevalent in many developing countries, particularly in Africa and Asia. It can spread through direct contact, air, and contaminated ...
Data Synthesis Technique for Categorical Pestes Des Petits Ruminants (PPR) Data Using CTGAN Model
(Pre prints,org, 2023-05-11)
Data scarcity is a significant challenge in the field of Machine Learning (ML), as data
collection can be expensive, time‐consuming, and difficult, particularly in developing countries.
This challenge is exaggerated on ...