Browse Items (182 total)

This study used aspects of the Technology Acceptance Model (TAM) to predict instructor acceptance and adoption of a tablet computer for mobile learning in a Ghanaian University. Following the distribution of a customized tablet PC (known as Campus…

Windows Server has powered a generation of organizations, from small businesses to large enterprises. No matter what your role in IT, you can be guaranteed that you have touched Windows Server at some point in your career, or at very least you have…

In recent years, Facial Emotional Recognition (FER) has garnered significant attention for its pivotal role across various applications, including human-computer interaction, healthcare, and sentiment analysis. This study is motivated by the need to…

This paper explores four Item Response Theory (IRT) models to determine the most appropriate for understanding item non-response. The selected IRT model was used to identify among five categories of survey questions, the most difficult to answer by…

In this study, we jointly modeled longitudinal CD4 count data and survival outcome (time-to-first occurrence of composite outcome of death, cardiac tamponade or constriction) in other to investigate the effects of Mycobacterium indicus pranii…

In Wireless Sensor Networks (WSNs), an efficient clustering technique is critical in optimizing the energy level of networked sensors and prolonging the network lifetime. While the traditional bee colony optimization technique has been widely used as…

The issue of sex determination (before conception) is beyond the study of Science. Though current studies have developed means to determine gender, it is not until the baby has been conceived. After conception, scientific methods can be used to…

Mobile learning or m-learning represents anytime and anyplace delivery of learning through Internet and wireless enabled mobile electronic devices. Personal mobile computing devices (Smartphones, iPads, Tablet PCs etc.), are becoming increasingly…

In this paper, we assessed volatility of Ghana’s inflation rates for 2000 to 2018 using the auto-regressive conditionally heteroskedasticity (ARCH), generalized ARCH (GARCH), and the exponential GARCH (EGARCH) models. The inflation data were obtained…

In this study, we extend Codeço’s classical SI‐B epidemic and endemic model from a deterministic framework into a stochastic framework. Then, we formulated it as a stochastic differential equation for the number of infectious individuals I(t) under…