Samar M. Alqhtani

According to our database, Samar M. Alqhtani authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough.

Mimonah Al Qathrady, Ahmad Shaf, Tariq Ali, Umar Farooq, Aqib Rehman, Samar M. Alqhtani, Mohammed S. Alshehri, Sultan Almakdi, Muhammad Irfan, Saifur Rahman, Ladon Ahmed Bade Eljak

IEEE Access, 2024

Smart Healthcare: A Dynamic Blockchain-Based Trust Management Model Using Subarray Algorithm.

Mimonah Al Qathrady, Muhammad Saeed, Rashid Amin, Mohammed S. Alshehri, Asma Hassan Alshehri, Samar M. Alqhtani

IEEE Access, 2024

2023

Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks.

Abdullah A. Asiri, Muhammad Aamir, Tariq Ali, Ahmad Shaf, Muhammad Irfan, Khlood M. Mehdar, Samar M. Alqhtani, Ali H. Alghamdi, Abdullah Fahad A. Alshamrani, Osama Mohammed Alshehri

PeerJ Comput. Sci., 2023

Automated Leukemia Screening and Sub-types Classification Using Deep Learning.

Chaudhary Hassan Abbas Gondal, Muhammad Irfan, Sarmad Shafique, Muhammad Salman Bashir, Mansoor Ahmed, Osama Mohammed Alshehri, Hassan H. Almasoudi, Samar M. Alqhtani, Mohammed M. Jalal, Malik A. Altayar, Khalaf F. Alsharif

Comput. Syst. Sci. Eng., 2023

Enhanced Adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples.

Ali Usman Gondal, Javed Ferzund, Ahmad Shaf, Muhammad Aamir, Samar M. Alqhtani, Khlood M. Mehdar, Hanan Talal Halawani, Hassan A Alshamrani, Abdullah A. Asiri, Muhammad Irfan

Comput. Syst. Sci. Eng., 2023

Enhanced Classification of Coffee Leaf Biotic Stress by Synergizing Feature Concatenation and Dimensionality Reduction.

Muhammad Armghan Latif, Noor Afshan, Zohaib Mushtaq, Nabeel Ahmed Khan, Muhammad Irfan, Grzegorz Nowakowski, Samar M. Alqhtani, Salim Nasar Faraj Mursal, Sergii Telenyk

IEEE Access, 2023

2022

Greedy Firefly Algorithm for Optimizing Job Scheduling in IoT Grid Computing.

Adil Yousif, Samar M. Alqhtani, Mohammed Bakri Bashir, Awad Ali, Rafik Hamza, Alzubair Hassan, Tawfeeg Mohmmed Tawfeeg

Sensors, 2022

Design-Time Reliability Prediction Model for Component-Based Software Systems.

Awad Ali, Mohammed Bakri Bashir, Alzubair Hassan, Rafik Hamza, Samar M. Alqhtani, Tawfeeg Mohmmed Tawfeeg, Adil Yousif

Sensors, 2022

A Novel Routing Protocol Based on Elliptical Shaped Movement of Autonomous Underwater Vehicles in Data Gathering Process for Underwater Wireless Sensor Network.

Ghulam Ali, Tariq Ali, Insha Ul Hassan, Ahmad Shaf, Muhammad Irfan, Grzegorz Nowakowski, Kazimierz Kielkowicz, Adam Glowacz, Samar M. Alqhtani

Sensors, 2022

FLIDND-MCN: Fake label images detection of natural disasters with multi model convolutional neural network.

Samar M. Alqhtani

J. Intell. Fuzzy Syst., 2022

Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms.

Rafik Hamza, Alzubair Hassan, Awad Ali, Mohammed Bakri Bashir, Samar M. Alqhtani, Tawfeeg Mohmmed Tawfeeg, Adil Yousif

Entropy, 2022

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR).

Tawfeeg Mohmmed Tawfeeg, Adil Yousif, Alzubair Hassan, Samar M. Alqhtani, Rafik Hamza, Mohammed Bakri Bashir, Awad Ali

IEEE Access, 2022

A Secure User Authentication Protocol for Heterogeneous Mobile Environments.

Alzubair Hassan, Rafik Hamza, Fagen Li, Awad Ali, Mohammed Bakri Bashir, Samar M. Alqhtani, Tawfeeg Mohmmed Tawfeeg, Adil Yousif

IEEE Access, 2022

BreastCNN: A Novel Layer-based Convolutional Neural Network for Breast Cancer Diagnosis in DMR-Thermogram Images.

Samar M. Alqhtani

Appl. Artif. Intell., 2022

2021

Severity Grading and Early Retinopathy Lesion Detection through Hybrid Inception-ResNet Architecture.

Sana Yasin, Nasrullah Iqbal, Tariq Ali, Umar Draz, Ali Alqahtani, Muhammad Irfan, Abdul Rehman, Adam Glowacz, Samar M. Alqhtani, Klaudia Proniewska, Frantisek Brumercik, Lukasz Wzorek

Sensors, 2021

Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network.

Muhammad Aamir, Tariq Ali, Muhammad Irfan, Ahmad Shaf, Muhammad Zeeshan Azam, Adam Glowacz, Frantisek Brumercik, Witold Glowacz, Samar M. Alqhtani, Saifur Rahman

Sensors, 2021

2018

A multiple kernel learning based fusion for earthquake detection from multimedia twitter data.

Samar M. Alqhtani, Suhuai Luo, Brian Regan

Multim. Tools Appl., 2018

2015

Fusing Text and Image for Event Detection in Twitter.

Samar M. Alqhtani, Suhuai Luo, Brian Regan

CoRR, 2015