Anietie Peter Uwah- Master of Science
- Part-time Lecturer at Mainland Business School
Anietie Peter Uwah
- Master of Science
- Part-time Lecturer at Mainland Business School
About
6
Publications
817
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21
Citations
Introduction
Mr Anietie Peter Uwah.
Research area is on Computational intelligence tools, powerful programming, scientific methods, and algorithms to solve Artificial Intelligence, Information technologies, software development, networking, cybersecurity, and data management-related problems
Current institution
Mainland Business School
Current position
- Part-time Lecturer
Education
January 2016 - March 2019
Publications
Publications (6)
Recent years have seen tremendous progress in the field of artificial intelligence, which has sparked the creation of cutting-edge tools like OpenAI ChatGPT. The OpenAI GPT-3 family of big language models serves as the foundation for ChatGPT, which is enhanced through the use of supervised and reinforcement learning methodologies. Its goal is to pr...
This study delves into the problem of detecting Denial-of-Service (DoS) attacks on Virtual Private Network (VPN) servers and the detrimental impact of such attacks on network functionality. A DoS attack aims to overwhelm a server, rendering it incapable of providing services to legitimate users. A VPN, on the other hand, serves as a secure conduit...
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...
Adverse drug effects, commonly referred to as adverse drug reactions (ADRs), represent undesirable and unintended responses to medications or pharmaceutical products when used at recommended doses for therapeutic purposes. These effects can range from mild, tolerable symptoms to severe, life-threatening conditions and can manifest in various ways,...
Cybersecurity remains a paramount concern in today's interconnected digital space, necessitating continual evaluation and refinement of intrusion detection and mitigation strategies. This study presents a comprehensive impact assessment of various intrusion detection and mitigation methods, adopting Support Vector Machine (SVM) classification for a...
Performance is a vital attribute for most software, making performance investigation an essential software engineering task. The problem is that modern applications are challenging to analyse for performance. The advancement of Software engineering has seen the application of scientific approach at various stages of Software Development Life Cycle...
