A Survey on 5G Networks In Developing Economies and Balancing the Efficacy of the Internet of Things (IoT) and the Ethics of Things (EoT): Challenges and Solutions

ABSTRACT: Over the years several mobile wireless technologies have evolved with incremental improvements in spectral efficiency, data transmission rates, capacity, latency and quality of service (QoS) metrics, however they are limited in driving a pervasive connected world of Internet of Things (IoT). To address these technical challenges, the Fifth Generation (5G) mobile technology was proposed

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Towards an Ambient-Intelligent Tool for Facilitating Interaction Among Nigerian Adults

ABSTRACT: The advancement in Computer Science, if properly tailored, can enhance active, healthy and a bore free life within and outside different Nigerian homes. The introduction of Ambient Intelligence empowers people’s capabilities by means of digital environment that is sensitive, adaptive and responsive to human needs. This paper proposes adapting this paradigm to promote and

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Statistical Model for Cybercrime Detection in Joined Heterogeneous Cloud Computing Environments

ABSTRACT Many commercial facilities and academic institutions now use cloud computing in an attempt of adopting new digital innovations. Cloud Computing Providers might be constrained to some services, lacking several resources their customers requested, meaning that distinct cloud services need to come together in collaboration to interoperate and exchange resources among themselves. In different characteristics

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A Survey on Graphical Based Authentication Model for Secure Electronic Payment (E-Payment)

ABSTRACT Client authentication is an essential component in nearly all electronic payment systems. This provides foundation for client the legal access control and user liability.  The most foremost used authentication technique is the textual or traditional alphanumeric password.  However, this method suffers several setbacks. For instance, clients usually choose passwords that can be easily guessed,

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A Hybrid Model for Prediction of Natural Gas Density Based on Sparse Auto-Encoder and Artificial Neural Network

ABSTRACT Natural gas has been considered a fuel of choice for increasing the security of energy supply and reducing environmental pollution across the world. Accurate prediction of natural gas density is essential for calculation of other important physical properties and establishing reliable and economical product transfer across pipelines in the oil and gas industry. This

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