Fusing Text and Image for Event Detection in Twitter. - Samar M. Alqhtani; Suhuai Luo; Brian Regan (CoRR, 2015)

A multiple kernel learning based fusion for earthquake detection from multimedia twitter data. - Samar M. Alqhtani; Suhuai Luo; Brian Regan (Multim. Tools Appl., 2018)

Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network. - Muhammad Aamir 007; Tariq Ali; Muhammad Irfan 008; Ahmad Shaf; Muhammad Zeeshan Azam; Adam Glowacz; Frantisek Brumercik; Witold Glowacz; Samar M. Alqhtani; Saifur Rahman (Sensors, 2021)

Severity Grading and Early Retinopathy Lesion Detection through Hybrid Inception-ResNet Architecture. - Sana Yasin; Nasrullah Iqbal; Tariq Ali; Umar Draz; Ali Alqahtani 003; Muhammad Irfan 008; Abdul Rehman 003; Adam Glowacz; Samar M. Alqhtani; Klaudia Proniewska; Frantisek Brumercik; Lukasz Wzorek (Sensors, 2021)

BreastCNN: A Novel Layer-based Convolutional Neural Network for Breast Cancer Diagnosis in DMR-Thermogram Images. - Samar M. Alqhtani (Appl. Artif. Intell., 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)

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)

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)

FLIDND-MCN: Fake label images detection of natural disasters with multi model convolutional neural network. - Samar M. Alqhtani (J. Intell. Fuzzy Syst., 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 008; Grzegorz Nowakowski; Kazimierz Kielkowicz; Adam Glowacz; Samar M. Alqhtani (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)

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)

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 008; Grzegorz Nowakowski; Samar M. Alqhtani; Salim Nasar Faraj Mursal; Sergii Telenyk (IEEE Access, 2023)

Enhanced Adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples. - Ali Usman Gondal; Javed Ferzund; Ahmad Shaf; Muhammad Aamir 007; Samar M. Alqhtani; Khlood M. Mehdar; Hanan Talal Halawani; Hassan A Alshamrani; Abdullah A. Asiri; Muhammad Irfan 008 (Comput. Syst. Sci. Eng., 2023)

Automated Leukemia Screening and Sub-types Classification Using Deep Learning. - Chaudhary Hassan Abbas Gondal; Muhammad Irfan 008; 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)

A Transfer Learning Based Approach for COVID-19 Detection Using Inception-v4 Model. - Ali Alqahtani 003; Shumaila Akram; Muhammad Ramzan; Fouzia Nawaz; Hikmat Ullah Khan; Essa Alhashlan; Samar M. Alqhtani; Areeba Waris; Zain Ali (Intell. Autom. Soft Comput., 2023)

Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification. - Abdullah A. Asiri; Bilal Khan 003; Fazal Muhammad; Shams ur Rahman; Hassan A Alshamrani; Khalaf Alshamrani; Muhammad Irfan 008; Samar M. Alqhtani (Intell. Autom. Soft Comput., 2023)

Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images. - Abdullah A. Asiri; Ahmad Shaf; Tariq Ali; Muhammad Aamir 007; Ali Usman Gondal; Muhammad Irfan 008; Hassan A Alshamrani; Khlood M. Mehdar; Osama Mohammed Alshehri; Samar M. Alqhtani (Intell. Autom. Soft Comput., 2023)

Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks. - Abdullah A. Asiri; Muhammad Aamir 007; Tariq Ali; Ahmad Shaf; Muhammad Irfan 008; Khlood M. Mehdar; Samar M. Alqhtani; Ali H. Alghamdi; Abdullah Fahad A. Alshamrani; Osama Mohammed Alshehri (PeerJ Comput. Sci., 2023)

Improved Brain Tumor Segmentation and Classification in Brain MRI With FCM-SVM: A Diagnostic Approach. - Samar M. Alqhtani; Toufique Ahmed Soomro; Ahmed Ali Shah; Abdul Aziz Memon; Muhammad Irfan 008; Saifur Rahman; Mohammed Jalalah; Abdulkarem Hussein Mohammed Almawgani; 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)

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 008; Saifur Rahman; Ladon Ahmed Bade Eljak (IEEE Access, 2024)

SACNN-IDS: A self-attention convolutional neural network for intrusion detection in industrial internet of things. - Mimonah Al Qathrady; Safi Ullah; Mohammed S. Alshehri; Jawad Ahmad 001; Sultan Almakdi; Samar M. Alqhtani; Muazzam Ali Khan; Baraq Ghaleb (CAAI Trans. Intell. Technol., 2024)

A Black Box Approach to EV Energy Consumption: Integrating Key Parameters for Drive Range Optimization. - Muhammad Arsalan Jalees Abro; Abdul Sattar Larik; Ali Alqazzaz; Irfan Ahmed Halepoto; Mana Saleh Al Reshan; Asadullah Shaikh; Samar M. Alqhtani; Jotee Kumari Lohana (IEEE Access, 2025)