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I. Manga

Publications (5)

Lossless Image Compression Schemes: A Review

I. Manga, E. J. Garba & A. S. Ahmadu · Journal of Scientific Research and Reports · 2021

Data compression refers to the process of representation of data using fewer number of bits. Data compression can be lossless or lossy. There are many schemes developed and used to perform either lossless or lossy compression. Lossless data compression allows the original data be...

Open access Research Article 10.9734/jsrr/2021/v27i630398

Fuzzy Rule-based System for Corruption Control in Nigerian Police Force

Aliyu B. Salaat, I. Manga & Jerome M. Gumpy · Asian Journal of Research in Computer Science · 2019

This paper has attempted to develop an artificial intelligence model based on fuzzy logic for the control of corruption in Nigerian Police Force. The researcher employed fuzzy rule-base inference system methodology using four inputs variables; funding, logistics and operational e...

Open access Research Article 10.9734/ajrcos/2019/v3i230090

Computational Model for the Prognosis, Control and Simulation of Ebola Virus Disease

O. Sarjiyus, J. Sunday & I. Manga · Journal of Scientific Research and Reports · 2017

Ebola Virus Disease (EVD) has garnered public interest mostly because of its low survival rate compared with most other modern epidemic diseases. This research is hinged on the Prognosis, Control and Simulation of the EVD. A model called the Susceptible-Latent-Infected-Recovered...

Open access Research Article 10.9734/JSRR/2017/34427

Image Processing Approach to Determine the Severity Level of Tuberculosis

N. Auwal, Ibrahim Goni, Danladi Ali, U. Christopher Ngene & I. Manga · Current Journal of Applied Science and Technology · 2019

Tuberculosis (TB) is a disease caused by a bacterium called Mycobacterium tuberculosis. Basically there are two types of TB, latent and pulmonary TB. It symptoms include persistent cough for more than two weeks, cough with blood, night sweat, tiredness, fever, chest pain, lymph n...

Open access Research Article 10.9734/cjast/2019/v37i330285