Items where Author is "Alaskar, H"

Article

Salah, S, Elbatanouny, H, Sobuh, A, Almajali, E, Khan, W, Alaskar, H, Binbusayyis, A, Hassan, T, Yousaf, J and Hussain, A (2025) Explainable AI for Unraveling the Significance of Visual Cues in High Stakes Deception Detection. IEEE Access, 13. pp. 65839-65862.

Ali, AH, Gbashi, EK, Alaskar, H and Hussain, AJ (2024) A Lightweight Image Encryption Algorithm Based on Secure Key Generation. IEEE Access, 12. pp. 95871-95883.

Khater, T, Ansari, S, Saad Alatrany, A, Alaskar, H, Mahmoud, S, Turky, A, Tawfik, H, Almajali, E and Hussain, A (2024) Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach. IEEE Access, 12. pp. 95091-95105.

Hafi, SJ, Mohammed, MA, Abd, DH, Alaskar, H, Alharbe, NR, Ansari, S, Aliesawi, SA and Hussain, AJ (2024) Image dataset of healthy and infected fig leaves with Ficus leaf worm. Data in Brief, 53. pp. 1-5. ISSN 2352-3409

Alaskar, H, Sbaï, Z, Khan, W, Hussain, A and Alrawais, A (2022) Intelligent techniques for deception detection: a survey and critical study. Soft Computing. ISSN 1432-7643

Alaskar, H, Hussain, A, Almaslukh, B, Vaiyapuri, T, Sbai, Z and Dubey, AK (2022) Deep Learning Approaches for Automatic Localization in Medical Images. Computational Intelligence and Neuroscience, 2022. p. 6347307. ISSN 1687-5265

Vaiyapuri, T, Liyakathunisa, Alaskar, H, Parvathi, R, Pattabiraman, V and Hussain, A (2022) Cat Swarm Optimization-Based Computer-Aided Diagnosis Model for Lung Cancer Classification in Computed Tomography Images. Applied Sciences, 12 (11). p. 5491. ISSN 2076-3417

Vaiyapuri, T, Liyakathunisa, Alaskar, H, Aljohani, E, Shridevi, S and Hussain, A (2022) Red Fox Optimizer with Data-Science-Enabled Microarray Gene Expression Classification Model. Applied Sciences, 12 (9). ISSN 2076-3417

Khalil, S, Hassan, A, Alaskar, H, Khan, W and Hussain, A (2021) Fuzzy Logical Algebra and Study of the Effectiveness of Medications for COVID-19. Mathematics, 9 (22).

Khan, W, Hussain, A, Alaskar, H, Baker, T, Ghali, F, Al-Jumeily, D and Al-Shamma’a, AI (2020) Prediction of Flood Severity Level Via Processing IoT Sensor Data Using Data Science Approach. IEEE Internet of Things Magazine, 3 (4). pp. 10-15. ISSN 2576-3180

Khalaf, M, Alaskar, H, Hussain, AJ, Baker, T, Maamar, Z, Buyya, R, Liatsis, P, Khan, W, Tawfik, H and Al-Jumeily, D (2020) IoT-enabled Flood Severity Prediction via Ensemble Machine Learning Models. IEEE Access, 8. pp. 70375-70386. ISSN 2169-3536

Alaskar, H, Hussain, A, Al-Aseem, N, Liatsis, P and Al-Jumeily, D (2019) Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images. Sensors, 19 (6). ISSN 1424-8220

Hussain, A, Liatsis, P, Khalaf, M, Tawfik, H and Alaskar, H (2018) A Dynamic Neural Network Architecture with immunology Inspired Optimization for Weather Data Forecasting. Big Data Research. ISSN 2214-5796

Conference or Workshop Item

Al Kafri, A, Sudirman, S, Hussain, A, Fergus, P, Al-Jumeily, D, Al-Jumaily, M and Alaskar, H (2016) A Framework on A Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain using Artificial Intelligence and Computer Graphics Technologies. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 843-854. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).