Skip To Main Content
Al Hejaili A on Muck Rack

Al Hejaili A

As seen in: PeerJ
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Al Hejaili

Contact Al Hejaili, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Hybrid deep layered network model based on multi-scale feature extraction and deep feature optimization for acute lymphoblastic leukemia anomaly detection

|
By Al Hejaili A, Ben H, de Oliveira JE, Ghulam Mohammad U
| PeerJ
This section investigates the results of the proposed approach in detail from different aspects. Also, the accuracy achieved by the proposed approach is compared with the state-of-the-art methods as shown in the literature review. In the study conducted with classical deep learning models VGG16 and VGG19, it is seen that lower accuracy is achieved with 91.59% compared to more modern models (Maurício de Oliveira & Dantas, 2021).
Open in Who Shared Issue with article?

Synchronizing smart city nodes using Skew Integrated Timestamp (SIT)

|
By Jan MA, Al Hejaili A, Dana PH, Hassan RJ
| PeerJ
A smart city uses state-of-the-art technology for the improvement and enhancement of various urban services and provides a better lifestyle to the residents. Smart city technology typically includes the Internet of Things (IoT), which enables devices and systems to collect and share data in real-time.
Open in Who Shared Issue with article?

RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data

|
By Adam SY, Al Duhayyim M, Al Hejaili A, Mohammad UG
| PeerJ
RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data 1Artificial Intelligence & Data Analytics Lab CCIS, Prince Sultan University, Riyadh, Saudi Arabia 2Department of Industrial Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia 3Azad Institute of Engineering and Technology, Azad Puram, Chandrawal via Bangla Bazar & Bijnour, Near CRPF Camp, Lucknow, India 4Department of Mathematical...
Open in Who Shared Issue with article?
See all 3 articles