Výsledky vyhledávání - "Yusuf Musa Malgwi"

Performance Optimization of Sorting Algorithm using Processor Affinity in Java

Autor: Abbas Muhammad Rabiu, Etemi Josua Garba, Benson Yusuf Baha, Yusuf Musa Malgwi, Mu’azu Dauda

Publikováno v: OIRT Journal of Information Technology. 2:8-14

Background: The processor affinity library in Java can switch ON all the processing cores available in a multi-processing environment. Using this feature will enable concurrent programmers to fully utilize the benefits of processing power available i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ad4e2854c5775d596ec0ad57f4a979e
https://doi.org/10.53944/ojit-2207

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A DIAGNOSTIC MODEL FOR THE PREDICTION OF LIVER CIRRHOSIS USING MACHINE LEARNING TECHNIQUES

Autor: Ganty Jamila, Gregory Msksha Wajiga, Yusuf Musa Malgwi, Abba Hamman Maidabara

Publikováno v: Computer Science & IT Research Journal. 3:36-51

Liver cirrhosis is the most common type of chronic liver disease in the globe. The ability to forecast the onset of liver cirrhosis sickness is critical for successful treatment and the prevention of catastrophic health implications. As a result, the

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https://doi.org/10.51594/csitrj.v3i1.296

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A MODEL FOR PREDICTION OF DRUG RESISTANT TUBERCULOSIS USING DATA MINING TECHNIQUE

Autor: Abdullahi Halliru, Gregory Msksha Wajiga, Yusuf Musa Malgwi, Abba Hamman Maidabara

Publikováno v: Computer Science & IT Research Journal. 3:1-22

The rate of mortality in the recent time because of tuberculosis disease is so alarming. Drug-Resistant Tuberculosis is a communicable disease very dangerous that attack lungs, many victims were not identified due to weak health systems facilities, p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c6fa65b572e0fc4cdbb4a73cf91b6ac5
https://doi.org/10.51594/csitrj.v3i1.290

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Artificial Neural Network Model for Intrusion Detection System

Autor: Mahmud Bamanga Ahmad, Yusuf Musa Malgwi, Ibrahim Goni

Publikováno v: Mahmud Bamanga Ahmad

Artificial Intelligence (AI) breakthroughs in the last few years have accelerated dramatically as a result of the industry's vast technological use. Neural Networks (NN) is one of the most vital areas of AI, as they allow for commercial use of featur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b22c96296d22e5ce1c3d4e80f83838a
https://doi.org/10.46382/mjbas.2022.6103

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THE PREDICTION OF HEPATITIS B VIRUS (HBV) USING ARTIFICIAL NEURAL NETWORK (ANN) AND GENETIC ALGORITHM (GA)

Autor: Yusuf Musa Malgwi, Douglas Ibrahim, Bamanga Mahmud Ahmad, Asabe Sandra Ahmadu

Publikováno v: Computer Science & IT Research Journal. 2:16-32

The hepatitis B virus causes a liver infection called hepatitis B (HBV). It might be severe and go away on its own. Some kinds, however, can be persistent, leading to cirrhosis and liver cancer. HBV can be transmitted to others without the individual

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https://doi.org/10.51594/csitrj.v2i1.275

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EXPERT SYSTEM FOR DIAGNOSIS OF MALARIA AND TYPHOID

Autor: Asabe Sandra Ahmadu, Yusuf Musa Malgwi, Douglas Ibrahim, Abba Hamman Maidabara

Publikováno v: Computer Science & IT Research Journal. 2:1-15

An expert system is a computer program designed to solve problems in a domain that has human expertise. The knowledge built into the system is usually obtained from experts in the field. Based on this knowledge, an expert system can replicate the thi

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https://doi.org/10.51594/csitrj.v2i1.274

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Development of knowledge based model for the diagnosis of sorghum diseases using Rule-Base approach

Autor: null Catherine Aaron, null Yusuf Musa Malgwi

The nuances of semantics, diction, and intent are too broad for a computer to understand directly. Instead, humans give the computer a set of rules which define the way to process incoming information. Hence, expertise in this particular field is app

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Deep Learning in Satellite Imaging: A Survey

Autor: Yusuf Musa Malgwi, Asabe Sandra Ahmadu, Ibrahim Goni

Publikováno v: Sumerianz Journal of Scientific Research. :45-51

In recent time deep learning has been extensively applied in satellite image analysis, the aim of this work was to conduct a thorough review on the application of deep learning in satellite imaging, moreover we have also provide a detail description

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https://doi.org/10.47752/sjsr.42.45.51

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Deep Learning Models for Predicting COVID-19 Using Chest X-Ray Images

Autor: Ebrahem A. Algehyne, Yusuf Musa Malgwi, Sani Sharif Usman, Muhammed Besiru Jibrin, L. J. Muhammad, Ahmad Abdulkadir, I. A. Mohammed

Publikováno v: Trends and Advancements of Image Processing and Its Applications ISBN: 9783030759445

The outbreak of COVID-19 has cost the world a lot of lives and causes the shutdown of businesses which get most of the countries gone into economic recession. Despite the fact that some of the vaccines of the pandemic are now available, immediately a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::910748eb968ed48a185bbd21ea85d781
https://doi.org/10.1007/978-3-030-75945-2_6

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