Web phishing detection using web crawling, cloud infrastructure and deep learning framework

LM Abdulrahman, SH Ahmed, ZN Rashid… - Journal of Applied …, 2023 - jastt.org
The pandemic of COVID-19 obliges citizens to follow the “work from home “scheme. The
Internet is also a powerful channel for social connections. The huge dependency of people …

A State of Art: Survey for Concurrent Computation and Clustering of Parallel Computing for Distributed Systems

H Shukur, SRM Zeebaree, AJ Ahmed, RR Zebari… - Journal of Applied …, 2020 - jastt.org
In this paper, several works have been presented related to clustering parallel computing for
distributed systems. The trend of the paper is to focus on the strengths of previous works in …

Multimodal emotion recognition using deep learning

SMSA Abdullah, SYA Ameen, MAM Sadeeq… - Journal of Applied …, 2021 - jastt.org
New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …

Skin lesion classification based on deep convolutional neural networks architectures

J Saeed, S Zeebaree - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …

Study for food recognition system using deep learning

NOM Salim, SRM Zeebaree… - Journal of Physics …, 2021 - iopscience.iop.org
Accurate dietary appraisal has been found by literature to be very significant in the
evaluation of weight loss treatments. Most current methods of dietary evaluation, however …

[PDF][PDF] Deep learning models based on image classification: a review

KB Obaid, S Zeebaree, OM Ahmed - International Journal of …, 2020 - academia.edu
With the development of the big data age, deep learning developed to become having a
more complex network structure and more powerful feature learning and feature expression …

Machine learning-based diabetic retinopathy early detection and classification systems-a survey

DA Hasan, SRM Zeebaree… - 2021 1st Babylon …, 2021 - ieeexplore.ieee.org
Diabetes Mellitus is a chronic disease that spreads quickly worldwide. It results from
increasing the blood glucose level and causes complications in the heart, kidney, and eyes …

An analytical appraisal for supervised classifiers' performance on facial expression recognition based on relief-F feature selection

MB Abdulrazaq, MR Mahmood… - Journal of Physics …, 2021 - iopscience.iop.org
Face expression recognition technology is one of the most recently developed fields in
machine learning and has profoundly helped its users through forensic, security, and …

Embedded system for eye blink detection using machine learning technique

BR Ibrahim, FM Khalifa, SRM Zeebaree… - 2021 1st Babylon …, 2021 - ieeexplore.ieee.org
Nowadays, eye tracking and blink detection are increasingly popular among researchers
and have the potential to become a more important component of future perceptual user …

The Web and AI Influences on Distributed Consensus Protocols in Cloud Computing: A Review of Challenges and Opportunities

WK Arabo - Journal of Information Technology and Informatics, 2024 - qabasjournals.com
In the rapidly evolving domain of distributed systems, consensus protocols play a crucial role
in maintaining reliability and coordination among distributed components. This paper delves …