[PDF][PDF] Breast cancer diagnosis system using hybrid support vector machine-artificial neural network

TS Lim, KG Tay, A Huong, XY Lim - Int. J. Electr. Comput. Eng.(IJECE …, 2021 - academia.edu
Breast cancer is the second most common cancer occurring in women. Early detection
through mammogram screening can save more women's lives. However, even senior …

Artificial intelligence emergence in disruptive technology

JET Akinsola, MA Adeagbo, KA Oladapo… - … intelligence and data …, 2022 - taylorfrancis.com
Artificial intelligence (AI) is the most prominent technology driving digital transformation
across the world. The digital transformation has made nimiety of data available for big data …

Review of intelligent algorithms for breast cancer control: A Latin America perspective

JM Valencia-Moreno… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Breast cancer in women is a worldwide health problem that is one of the main causes of
death. This situation is accentuated in Latin America and the Caribbean countries, where …

Machine learning prediction of breast cancer survival using age, sex, length of stay, mode of diagnosis and location of cancer

HI Okagbue, PI Adamu, PE Oguntunde… - Health and …, 2021 - Springer
Breast cancer is one of the leading causes of death in females and survival depends on
early diagnosis and treatment. This paper applied machine learning techniques in prediction …

[图书][B] Application of artificial intelligence in user interfaces design for cyber security threat modeling

JET Akinsola, S Akinseinde, O Kalesanwo, M Adeagbo… - 2021 - books.google.com
Abstract In recent years, Cyber Security threat modeling has been discovered to have the
capacity of combatting and mitigating against online threats. In order to minimize the …

[PDF][PDF] Classification model for prediction of heart disease using correlation coefficient technique

S Moturi, DS Srikanth Vemuru - International Journal, 2020 - researchgate.net
Today health care services have come up with an advanced way to treat patients having
different diseases. Among all, one of the harmful diseases is the cardiovascular disease that …

Development of Threat Hunting Model Using Machine Learning Algorithms for Cyber Attacks Mitigation

JET Akinsola, EA Olajubu… - 2022 International …, 2022 - ieeexplore.ieee.org
Threat hunting has become very popular due to the present dynamic cyber security
environment. As there remains increase in attacks' landscape, the traditional way of …

Application of Artificial Intelligence for DDoS Attack Detection and Prevention on Cyber Physical Systems Using Deep Learning

JET Akinsola, RO Abimbola, MA Adeagbo… - Internet of Things and …, 2022 - taylorfrancis.com
There are new discoveries everyday as technology is improved. As these improvements are
used in solving one particular issue, more problems are then discovered. The adoption of …

Hybridization of decision tree algorithm using sequencing predictive model for COVID-19

AA Awoseyi, JET Akinsola, OM Oladoja… - Emerging …, 2022 - taylorfrancis.com
The world at large is experiencing a serious economic downturn due to the prevalence of
COVID-19 despite the development of different vaccines. The second and third waves of the …

[PDF][PDF] Taxonomy and characterization of structured query language injection attacks for predictive analytics

SA Idowu, O Awodele, SO Kuyoro… - Int. J. Softw. Hardw. Res …, 2020 - academia.edu
Structured Query Language Injection Attacks (SQLIA) from attackers' exploit have
progressively increased the danger of cyber attacks to steal confidential information from the …