ABSTRACT In this paper, we proposed a novel method for detecting cassava plant diseases through deep learning models to reduce the drawbacks of traditional ways and improve food security across the globe in cassava-dependent areas. Both models were prepared on a high-resolution dataset for a variety of disease states, and other limitations linked to overfitting,
ABSTRACT The Cloud has gained so much attention in recent years. This is not unconnected to the numerous benefits associated with cloud storage and retrieval. However, sensitive data being stored in the cloud are today facing numerous challenges including unauthorized access, data breaches and cyber-attacks. Existing models in literature have failed to address the gap.
ABSTRACT Worldwide Interoperability for Microwave Access (WiMAX) and Long-Term Evolution (LTE) Networks are one of the best wireless networks designed to facilitate quick and efficient communication among internet users for resource sharing and access. Several research have attempted to alleviate the Network Delay problem for users by proposing a number of solutions in the area
ABSTRACT It remains an overwhelming task for financial institutions and banks to predict clients who will not redeem their loan. Several machine learning algorithms in literature have been applied to address the problem of misclassification in prediction models. This research applies classical machine learning algorithms; Random Forest (RF) and Decision Trees (DT) algorithms to predict
ABSTRACT Tertiary institutions often called Higher education institutions (HEIs) have been experiencing a growing demand for research that can contribute to the continent’s socio-economic development, especially in African society. However, these HEIs are facing significant challenges in building the necessary capacity for research development. The lack of resources, expertise, and institutional support has resulted in
ABSTRACT: The smart economy offers vast opportunities for innovation and growth, but also brings substantial challenges, in cybersecurity and data privacy. Cyber threats, such as unauthorized access and data breaches jeopardize system integrity, while concerns about data privacy rise with increased cyberattacks. This study investigated the gap between the potential provided by the smart economy
ABSTRACT Democracy is a form of governance that gives citizens the opportunity to choose their preferred leader through election. Dissatisfied politicians do turn to court to claim victory. Data captured in an e-voting system is used for forensic analysis to extract evidence for resolving election disputes. Therefore, it must be accurately captured and properly stored.
ABSTRACT Collaborative learning is an educational method of enhancing learning through groups working together. This educational forum addresses the idea of multiple people gathering to share knowledge and engage in conversation. Students typically collaborate in groups to study, look for answers, understanding, or meanings. Different viewpoints and resources can be brought together in a computer-supported
ABSTRACT Computer-based tests are now one of the prominent methods of administering examinations of various kinds due to their preciseness, predictability and ease of grading especially when multiple-choice methods are used. Despite these motivations, multiple choice-based systems are often fraught with problems such as repeated questions, repeated options for responses in certain cases, questions containing
ABSTRACT Artificial Intelligence-based conversational agent technology such as automatic Chabot responders now used widely in most establishments such as healthcare, education and banking services. Although entrepreneurship education is increasingly becoming popular, the application of AI pedagogical tools has been largely insufficient in disseminating knowledge in this field of study. To bridge this research gap, a