Abasiama Silas

Abasiama Silas
  • Master of Science
  • Lecturer II at Akwa Ibom State University

Looking for collaborators in the field of Machine Learning, Network Security and Data Science.

About

11
Publications
4,872
Reads
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60
Citations
Current institution
Akwa Ibom State University
Current position
  • Lecturer II
Additional affiliations
April 2020 - present
Akwa Ibom State University
Position
  • Lecturer

Publications

Publications (11)
Article
Full-text available
This research explores the classification of startup risks to achieve high investment returns using Random Forest Regression. The study aims to identify and predict potential risks faced by startups, thereby aiding investors in making informed decisions. We analyzed a dataset comprising various features such as funding levels, market size, expenses...
Article
Full-text available
In this study, we employed a Bayesian network approach for the classification of sickle cell anemia in teenagers based on their medical data. Sickle cell anemia is a hereditary blood disorder characterized by the presence of abnormal hemoglobin, leading to distorted red blood cells. Early detection and classification of this condition are crucial f...
Preprint
Full-text available
Border authenticate an integral portion in a country's security, but borders are extremely prone and vulnerable to unauthorized migration, illegal smuggling of goods and drugs, human trafficking and assaults by the extremists as well as intrusion and cohesion between several parties. Border surveillance is the most central task in the area of natio...
Article
Full-text available
Information security is the number one priority for any establishment concerned with its growth and privacy of its data. Attackers have devised a variety of strategies to get access to organizations' databases, both on cloud and offline systems. The incorporation of both cryptography and cloud folder model to secure cloud based storage presented in...
Article
Full-text available
An analysis of the current traffic management system in Uyo, an urban city in Nigeria showed a heavy dependence on the use of traffic wardens. Where traffic control lights operate, they are based on fixed time allocation which often results in traffic congestion on the more operational lane and hinders the rescue work of first responders. This stud...
Article
Full-text available
Machine learning has wide range of application in almost every life endeavor. Artificial neural network technique in particular has been used to implement prediction and forecasting of result in virtually all works of life including weather, sports, student performance etc. such parameters as momentum, training cycles and leaning rate play signific...

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