Výsledky vyhledávání - "C. O. Uwadia"

Novel adaptive cyberattack prediction model using an enhanced genetic algorithm and deep learning (AdacDeep)

Autor: Olusoji B. Okunoye, F.A. Oladeji, C. O. Uwadia, Ayei E. Ibor

Publikováno v: Information Security Journal: A Global Perspective. 31:105-124

Some of the problems of extant cyberattack prediction approaches are low prediction accuracy, high false positive rate, very long training time, and the choice of hyperparameters to overcome overfi...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ebab23e0deed035b8deb546d8bc8173a
https://doi.org/10.1080/19393555.2021.1883777

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Adaptive Rooted Tree Optimization for Non-convex Economic Dispatch Cost Function

Autor: Sola E. Edagbami, C. O. Uwadia, Chika Yinka-Banjo

Publikováno v: 2021 IEEE PES/IAS PowerAfrica.

Finding the optimal operating cost economic dispatch with valve-point effect is difficult and challenging for deterministic methods because the fuel cost function is nonconvex. Nature inspired optimization algorithms are promising in solving non-conv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5537f61c9e62dadeb476cf7268790ffb
https://doi.org/10.1109/powerafrica52236.2021.9543404

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Improving the search pattern of Rooted Tree Optimisation algorithm to solve complex problems

Autor: C. O. Uwadia, Franklin Djeumou Fomeni, Chika Yinka-Banjo, Sola E. Edagbami, Mojeed Olayide Abass

Publikováno v: Results in Control and Optimization, Vol 3, Iss, Pp 100015-(2021)

Rooted Tree Optimisation (RTO) is a metaheuristic method for solving complex problems. Roots in RTO move to new search space without evaluating such move for better fitness values. Best root in RTO which acts similar to the global best in Particle Sw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2f4b3a07373d95a0502580fe9ce376d
http://www.sciencedirect.com/science/article/pii/S2666720721000096

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Deep learning model for preicting multistage cyber attacks

Autor: F.A. Oladeji, C. O. Uwadia, Olusoji B. Okunoye, Ayei E. Ibor

Publikováno v: Journal of Computer Science and Its Application. 26

The prediction of cyberattacks has been a major concern in cybersecurity. This is due to the huge financial and resource losses incurred by organisations after a cyberattack. The emergence of new applications and disruptive technologies has come with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee83f65f011e5f094e3c364cee987557
https://doi.org/10.4314/jcsia.v26i1.6

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An Adaptive Radial Basis Function Neural Network Glowworm Swarm Optimization for Time Series Forecasting

Autor: C. O. Uwadia, Daniel C. Alienyi, Roselyn Isimeto, Oladipupo A. Sennaike

Publikováno v: Proceedings of the 2nd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence.

The past three decades have witnessed active research using a class of Artificial Neural Network models (ANN), the Radial Basis Function Neural Networks, to forecast time series. Many techniques for forecasting time series using Radial Basis Function

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8ca5e171d87a4f8749c54dfe72082f3
https://doi.org/10.1145/3206185.3206205

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Scheduling Cloud Workloads Using Carry-On Weighted Round Robin

Autor: Afolorunsho Omosowun, F.A. Oladeji, C. O. Uwadia, Olasupo Ajayi

Publikováno v: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319988269
AFRICOMM

Cloud Computing represents a paradigm shift in computing. It advocates the use of computing resources as a service rather than as a product. The numerous advantages which the Cloud offers has led to many users adopting it at a phenomenal rate. Provid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9385df3b23bd46297a35a583b2aba4dd
https://doi.org/10.1007/978-3-319-98827-6_5

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An enhanced clustering analysis based on glowworm swarm optimization

Autor: Chika Yinka-Banjo, Roselyn Isimeto, C. O. Uwadia, Daniel C. Alienyi

Publikováno v: 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI).

Data clustering has always been an important aspect of data mining. Extracting clusters from data could be very difficult especially when the features are large and the classes not clearly partitioned, hence the need for high-quality clustering techn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58b666cf85187dbed03cb04b154c13a0
https://doi.org/10.1109/iscmi.2017.8279595

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A conceptual framework for a campus power management system based on lecture schedules

Autor: C. O. Uwadia, Olasupo Ajayi, Victor Odumuyiwa, Sola E. Edagbami

Publikováno v: 2017 IEEE PES PowerAfrica.

Intelligent building energy management systems or smart building are gaining increasing attention amongst researchers and the society at large. There is an ever growing clamor for energy conservation both with a view of reducing carbon footprint and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95516df7f0d0611d1a3c9d1ba504a481
https://doi.org/10.1109/powerafrica.2017.7991231

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A Knowledge Mining Approach for Effective Customer Relationship Management

Autor: C. O. Uwadia, Fatudimu Ibukun Tolulope, Charles K. Ayo

Publikováno v: International Journal of Knowledge-Based Organizations. 3:76-86

The problem of existing customer relationship management (CRM) system is not lack of information but the ability to differentiate useful information from chatter or even disinformation and also maximize the richness of these heterogeneous information

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5fc901a15d900971d88072b57c78dd43
https://doi.org/10.4018/ijkbo.2013040105

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