Manal Abdullah Alohali

According to our database, Manal Abdullah Alohali authored at least 33 papers between 2017 and 2025.

Collaborative distances:

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

2025

An Enhanced Wheat Stripe Rust Segmentation Approach Using Vision Transformer Model.

Nosheen Usman, Tauqir Ahmad, Faiza Iqbal, Ayesha Altaf, Nagwan M. Abdel Samee, Manal Abdullah Alohali, Imran Ashraf

Int. J. Comput. Intell. Syst., December, 2025

Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks.

Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, K. Venkatachalam, Jaehyuk Cho

PeerJ Comput. Sci., 2025

Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving.

Manal Abdullah Alohali, Hamed Alqahtani, Abdulbasit A. Darem, Monir Abdullah, Yunyoung Nam, Mohamed Abouhawwash

PeerJ Comput. Sci., 2025

Analyzing post-quantum cryptographic algorithms efficiency for transport security layer.

Sana Farooq, Ayesha Altaf, Muhammad Shoaib, Faiza Iqbal, Nagwan M. Abdel Samee, Manal Abdullah Alohali, Imran Ashraf

Comput. Electr. Eng., 2025

C-HIDE: A Steganographic Framework for Robust Data Hiding and Advanced Security Using Coverless Hybrid Image Encryption With AES and ECC.

Sahar A. El-Rahman, Ahmed E. Mansour, Leila Jamel, Manal Abdullah Alohali, Mohamed Seifeldin, Yasmin Alkady

IEEE Access, 2025

Integrating Two-Tier Optimization Algorithm With Convolutional Bi-LSTM Model for Robust Anomaly Detection in Autonomous Vehicles.

Moneerah Alotaibi, Manal Abdullah Alohali, Khalid Mahmood, Asma Alhashmi, Jehad Saad Alqurni, Sultan Refa Alotaibi, Ahmad A. Alzahrani, Imène Issaoui

IEEE Access, 2025

2024

TFCNN-BiGRU with self-attention mechanism for automatic human emotion recognition using multi-channel EEG data.

Essam H. Houssein, Asmaa Hammad, Nagwan M. Abdel Samee, Manal Abdullah Alohali, Abdelmgeid A. Ali

Clust. Comput., December, 2024

Textual emotion analysis using improved metaheuristics with deep learning model for intelligent systems.

Manal Abdullah Alohali, Naif Alasmari, Nabil Sharaf Almalki, Majdi Khalid, Mrim M. Alnfiai, Mohammed Assiri, Sitelbanat Abdelbagi

Trans. Emerg. Telecommun. Technol., April, 2024

Breast cancer diagnosis using optimized deep convolutional neural network based on transfer learning technique and improved Coati optimization algorithm.

Marwa M. Emam, Essam H. Houssein, Nagwan M. Abdel Samee, Manal Abdullah Alohali, Mosa E. Hosney

Expert Syst. Appl., 2024

Digital Text Document Watermarking Based Tampering Attack Detection via Internet.

Manal Abdullah Alohali, Muna Elsadig, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

Comput. Syst. Sci. Eng., 2024

A Novel Transfer Learning Approach for Detection of Pomegranates Growth Stages.

Aisha Naseer, Madiha Amjad, Ali Raza, Kashif Munir, Nagwan M. Abdel Samee, Manal Abdullah Alohali

IEEE Access, 2024

Archimedes Optimization Algorithm With Deep Learning Assisted Content-Based Image Retrieval in Healthcare Sector.

Imène Issaoui, Manal Abdullah Alohali, Wafa Mtouaa, Faiz Abdullah Alotaibi, Ahmed Mahmud, Mohammed Assiri

IEEE Access, 2024

Novel Framework for Autism Spectrum Disorder Identification and Tailored Education With Effective Data Mining and Ensemble Learning Techniques.

Fahima Hajjej, Sarra Ayouni, Manal Abdullah Alohali, Mohamed Maddeh

IEEE Access, 2024

Roles of Blockchain in the Metaverse: Concepts, Taxonomy, Recent Advances, Enabling Technologies, and Open Research Issues.

Muna Elsadig, Manal Abdullah Alohali, Ashraf Osman Ibrahim, Anas Waleed Abulfaraj

IEEE Access, 2024

A Decentralized Approach to Smart Home Security: Blockchain With Red-Tailed Hawk-Enabled Deep Learning.

Fahad F. Alruwaili, Manal Abdullah Alohali, Nouf Aljaffan, Asma Alhashmi, Ahmed Mahmud, Mohammed Assiri

IEEE Access, 2024

Temporally Dynamic Spiking Transformer Network for Speech Enhancement.

Manal Abdullah Alohali, Nasir Saleem, Delel Rhouma, Mohamed Medani, Hela Elmannai, Sami Bourouis

IEEE Access, 2024

2023

Multi-Objective Seagull Optimization Algorithm with Deep Learning-Enabled Vulnerability Detection for Secure Cloud Environments.

Mohammed Aljebreen, Manal Abdullah Alohali, Hany Mahgoub, Sumayh S. Aljameel, Albandari Alsumayt, Ahmed Sayed

Sensors, December, 2023

Hybrid precoding design for secure smart-grid enabled MIMO wireless communications in Industry 5.0.

Kalim Ullah, Manal Abdullah Alohali, Muhammad Ibrar-ul-Haque, Hany Mahgoub, Faisal Mohammed Nafie, Mohammed Assiri, Ali Nauman, Bhawani Shankar Chowdhry

J. King Saud Univ. Comput. Inf. Sci., July, 2023

Anomaly Detection in Pedestrian Walkways for Intelligent Transportation System Using Federated Learning and Harris Hawks Optimizer on Remote Sensing Images.

Manal Abdullah Alohali, Mohammed Aljebreen, Nadhem Nemri, Randa Allafi, Mesfer Al Duhayyim, Mohamed Ibrahim Alsaid, Amani A. Alneil, Azza Elneil Osman

Remote. Sens., June, 2023

Swarm intelligence for IoT attack detection in fog-enabled cyber-physical system.

Manal Abdullah Alohali, Muna Elsadig, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

Comput. Electr. Eng., May, 2023

Improved metaheuristics with deep learning based object detector for intelligent control in autonomous vehicles.

Naif Alasmari, Manal Abdullah Alohali, Majdi Khalid, Nabil Sharaf Almalki, Abdelwahed Motwakel, Mohamed Ibrahim Alsaid, Azza Elneil Osman, Amani A. Alneil

Comput. Electr. Eng., May, 2023

Enhancing quality of experience in mobile edge computing using deep learning based data offloading and cyberattack detection technique.

Anwer Mustafa Hilal, Manal Abdullah Alohali, Fahd N. Al-Wesabi, Nadhem Nemri, Hasan J. Alyamani, Deepak Gupta

Clust. Comput., February, 2023

Binary Chimp Optimization Algorithm with ML Based Intrusion Detection for Secure IoT-Assisted Wireless Sensor Networks.

Mohammed Aljebreen, Manal Abdullah Alohali, Muhammad Kashif Saeed, Heba Mohsen, Mesfer Al Duhayyim, Amgad Atta Abdelmageed, Suhanda Drar, Sitelbanat Abdelbagi

Sensors, 2023

Emerging framework for attack detection in cyber-physical systems using heuristic-based optimization algorithm.

Manal Abdullah Alohali, Muna Elsadig, Anwer Mustafa Hilal, Abdulwahed Mutwakel

PeerJ Comput. Sci., 2023

An Energy-Efficient Multi-swarm Optimization in Wireless Sensor Networks.

Reem Alkanhel, Kalaiselvi Chinnathambi, C. Thilagavathi, Mohamed Abouhawwash, Mona A. Alduailij, Manal Abdullah Alohali, Doaa Sami Khafaga

Intell. Autom. Soft Comput., 2023

Blockchain Assisted Optimal Machine Learning Based Cyberattack Detection and Classification Scheme.

Manal Abdullah Alohali, Muna Elsadig, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

Comput. Syst. Sci. Eng., 2023

Optimal Deep Learning Based Ransomware Detection and Classification in the Internet of Things Environment.

Manal Abdullah Alohali, Muna Elsadig, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

Comput. Syst. Sci. Eng., 2023

Detecting Rotational Symmetry in Polar Domain Based on SIFT.

Habib Akbar, Muhammad Munwar Iqbal, Abid Ali, Amna Parveen, Nagwan M. Abdel Samee, Manal Abdullah Alohali, Mohammed Saleh Ali Muthanna

IEEE Access, 2023

2022

A Lightweight Hybrid Deep Learning Privacy Preserving Model for FC-Based Industrial Internet of Medical Things.

Mohammed Amin Almaiah, Aitizaz Ali, Fahima Hajjej, Muhammad Fermi Pasha, Manal Abdullah Alohali

Sensors, 2022

2019

A model for user-centric information security risk assessment and response.

Manal Abdullah Alohali

PhD thesis, 2019

Information Security Risk Communication: A User-Centric Approach.

Manal Abdullah Alohali, Nathan L. Clarke, Steven Furnell

Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2018

Identifying and predicting the factors affecting end-users' risk-taking behavior.

Manal Abdullah Alohali, Nathan L. Clarke, Fudong Li, Steven Furnell

Inf. Comput. Secur., 2018

2017

Identifying the Factors Affecting End-Users’ Risk-Taking Behavior.

Manal Abdullah Alohali, Nathan L. Clarke, Fudong Li, Steven Furnell

Proceedings of the Eleventh International Symposium on Human Aspects of Information Security & Assurance, 2017