Výsledky vyhledávání - "Abdulmalik Danlami Mohammed"

A Review on Machine Learning Techniques for Image Based Spam Emails Detection

Autor: Sulaimon A. Bashir, Opeyemi O. Abisoye, Muhammad Bashir Abdullahi, Abdulmalik Danlami Mohammed

Publikováno v: 2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA).

Sending and receiving e-mails have continued to take the lead being the easiest and fastest way of e-communication despite the presence of other forms of e-communication such as social networking. The rise in online transactions through email has glo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48a865f64d3da30e144a2803db70f769
https://doi.org/10.1109/cybernigeria51635.2021.9428826

Zobrazit plný text záznamu

An Optimized Customers Sentiment Analysis Model Using Pastoralist Optimization Algorithm (POA) and Deep Learning

Autor: Safiya A. Shehu, Ibrahim Mohammed Abdullahi, Abdulmalik Danlami Mohammed

Publikováno v: 2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA).

Users usually express their sentiment online which influences purchased products and services. The computational study of people's feelings and thoughts on entities is known as sentiment analysis. The Long Short-Term Memory (LSTM) model is one of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::90edc5255c0959941e1dc2d0ce6428b1
https://doi.org/10.1109/cybernigeria51635.2021.9428863

Zobrazit plný text záznamu

Impact of Pixel Scaling on Classification Accuracy of Dermatological Skin Disease Detection

Autor: Afiz Adeniyi Adeyemo, Opeyemi O. Abisoye, Abdulmalik Danlami Mohammed, Sulaimon A. Bashir

Publikováno v: 2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA).

Images are made up of many features on which the performance of the system used in processing them depends. Image pixel values are one of such important features which are often not considered. This study investigates the importance of image preproce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84f4ecd7b78740fcec74d58d8afd2079
https://doi.org/10.1109/cybernigeria51635.2021.9428813

Zobrazit plný text záznamu

Face Morphing Attack Detection in the Presence of Post-processed Image Sources Using Neighborhood Component Analysis and Decision Tree Classifier

Autor: Opeyemi Aderiike Abisoye, Abdulmalik Danlami Mohammed, Sulaimon A. Bashir, Ogbuka Mary Kenneth

Publikováno v: Communications in Computer and Information Science ISBN: 9783030691424
ICTA

Recently, Face Morphing Attack Detection (MAD) has gained a great deal of attention as criminals have started to use freely and easily available digital manipulation techniques to combine two or more subject facial images to create a new facial image

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aee664de52dbdf8d0b0e1871148f1ddc
https://doi.org/10.1007/978-3-030-69143-1_27

Zobrazit plný text záznamu

Feature Based Optical Flow Model for Obstacle Detection on a Camera Phone

Autor: Abdulmalik Danlami Mohammed, Tim Morris

Publikováno v: 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH).

A wide variety of assistive tools has failed to address some or all of the challenges faced by people with visual disability. For instance, obstacle avoidance poses a big challenge to visually impaired persons especially during the navigation of unkn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a83e5745eac2f832bc90b14a0d677ae9
https://doi.org/10.1109/smart-tech49988.2020.00024

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání