FeaturedResearch

Title	Details	Department	Department:DepartmentName	Date	Department:DepartmentName (linked to item)
Security Risk and Breach Detection Approach Based Blockchain for Medical Applications	M. Amin Almaiah, A. Ali, T. Alkhdour and A. Lutfi, "Security Risk and Breach Detection Approach Based Blockchain for Medical Applications," in IEEE Access, vol. 12, pp. 171876-171896, 2024 Security Risk and Breach Detection Approach Based Blockchain for Medical Applications \| IEEE Journals & Magazine \| IEEE Xplore	علم الحاسوب	علم الحاسوب	10/28/2024	علم الحاسوب
DCmal-2025: A Novel Routing-Based DisConnectivity Malware—Development, Impact, and Countermeasures	Abu-Jazoh, M.; Almomani, I.; Sabri, K.E. DCmal-2025: A Novel Routing-Based DisConnectivity Malware—Development, Impact, and Countermeasures. Appl. Sci. 2025, 15, 10219. DCmal-2025: A Novel Routing-Based DisConnectivity Malware—Development, Impact, and Countermeasures	علم الحاسوب	علم الحاسوب	9/19/2025	علم الحاسوب
Hierarchical lightweight intrusion detection system using deep learning in the context of IoT	Abualghanam, Orieb, Hadeel Alazzam, and Wesam Almobaideen. "Hierarchical lightweight intrusion detection system using deep learning in the context of IoT." Cluster Computing 28.12 (2025): 783. Hierarchical lightweight intrusion detection system using deep learning in the context of IoT \| Cluster Computing	علم الحاسوب	علم الحاسوب	9/15/2025	علم الحاسوب
Using Linked Data for Integrating Educational Medical Web Databases Based on BioMedical Ontologies.	Reem Q. Al Fayez, Mike Joy. Using Linked Data for Integrating Educational Medical Web Databases Based on BioMedical Ontologies. The Computer Journal, Oxford University Press, 2016 1-20. doi: 10.1093/comjnl/bxw096 http://comjnl.oxfordjournals.org/content/early/2016/12/04/comjnl.bxw096.abstract	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	12/5/2016	أنظمة المعلومات الحاسوبية
Software Reusability Classification and Predication Using Self-Organizing Map (SOM).	Hudaib, A. M. Huneiti, I. Othman Software Reusability Classification and Predication Using Self-Organizing Map (SOM). Communications and Network, August 2016, Vol(8), pp. 179-192. http://m.scirp.org/papers/69828	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	8/1/2016	أنظمة المعلومات الحاسوبية
A Proposed Model for Malicious Spam Detection In Email Systems of Educational Institutes.	A. Zaid, J. Alqatawna, A. M. Huneiti A Proposed Model for Malicious Spam Detection In Email Systems of Educational Institutes. Cybersecurity and Cyberforensics Conference - Jordan. Aug. 2-4, 2016. http://ieeexplore.ieee.org/abstract/document/7600211/	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	8/2/2016	أنظمة المعلومات الحاسوبية
On Ontology-Based Diagnosis and Defeasibilit	Nadim Obeid, Enas Rawashdeh, Eman Alduweib On Ontology-Based Diagnosis and Defeasibilit The 2016 International Conference on Computational Science and Comuptational Intelligence, IEEE. 2016 http://americancse.org/events/csci2016/schedules/fri16	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	12/16/2016	أنظمة المعلومات الحاسوبية
A Temporal Defeasible Logic for Handling Access Control Policies	Khair Eddine Sabri and Nadim Obeid, A Temporal Defeasible Logic for Handling Access Control Policies Applied Intelligence, Vol. 44, No. 1, 30-42. http://link.springer.com/article/10.1007%2Fs10489-015-0692-8	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	1/1/2016	أنظمة المعلومات الحاسوبية
ViStA: a visualization system for exploring Arabic text.	Bassam Hammo, Nadim Obeid and Israa Huzayyen, I. ViStA: a visualization system for exploring Arabic text. International Journal of Speech Technology, Vol. 19, No. 2, 237-247. http://link.springer.com/article/10.1007/s10772-015-9286-4	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	6/1/2016	أنظمة المعلومات الحاسوبية
A Defeasible Description Logic for Representing Bibliographic Data	Ala’a Al-Shaikh, Hebatallah Khattab, Asma Moubaiddin, Nadim Obeid, A Defeasible Description Logic for Representing Bibliographic Data In: Social Media Shaping e-Publishing, Social Media Shaping e-Publishing, Taha, N., Al-Sayyed, R., Alqatawna, J., Rodan, A. (Eds.). https://www.springer.com/gp/book/9783319553535#aboutAuthors	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	1/1/2017	أنظمة المعلومات الحاسوبية
A Fast Pattern Matching Algorithm Using Changing Consecutive Characters	Amjad Hudaib, Dima Suleiman, Arafat Awajan A Fast Pattern Matching Algorithm Using Changing Consecutive Characters Journal of Software Engineering and Applications (JSEA), Vol. 9, No. 8, 2016.	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	8/1/2016	أنظمة المعلومات الحاسوبية
AI-driven job scheduling in cloud computing: a comprehensive review	Sanjalawe, Yousef, et al. "AI-driven job scheduling in cloud computing: a comprehensive review." Artificial Intelligence Review 58.7 (2025): 197. AI-driven job scheduling in cloud computing: a comprehensive review \| Artificial Intelligence Review	تكنولوجيا المعلومات	تكنولوجيا المعلومات	4/11/2025	تكنولوجيا المعلومات
New Methodology For Microarray Spot Segmentation And Gene Expression Analysis	Amjad Hudaib, Hussam N. Fakhouri, Rawan Ghnemat New Methodology For Microarray Spot Segmentation And Gene Expression Analysis Scientific Research and Essays, Vol. 11 (12), pp. 126-134, 2016 http://www.academicjournals.org/journal/SRE/article-abstract/4180CA259499	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	6/1/2016	أنظمة المعلومات الحاسوبية
An Automated Approach for Software Fault Detection and Recovery	Amjad Hudaib, Hussam N. Fakhouri An Automated Approach for Software Fault Detection and Recovery Communications and Network (CN). Vol. 8, No. 3. Pp.158-169, 2016	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	8/1/2016	أنظمة المعلومات الحاسوبية
Theoretical Framework for Social Network Marketing Base on Genetic Algorithm.	Osama Rababah, Thair Hamtini, Hussam Fakhouri, Amjad Hudaib, Ahmad Hwaitat, Theoretical Framework for Social Network Marketing Base on Genetic Algorithm. Scientific Research and Essays, Vol. 11 (3), pp. 23-28, 2016 http://www.academicjournals.org/journal/SRE/article-abstract/F2ED78757304	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	2/1/2016	أنظمة المعلومات الحاسوبية
A Corpus-based Study of Similes in British and American English.	Hussein, Riyad; Sawalha, Majdi A Corpus-based Study of Similes in British and American English. Arab World English Journal, Volume 7, Issue 2, June 2016. Pp. 49-60 http://www.awej.org/index.php?option=com_content&view=article&id=915:riyad-f-hussein-majdi-sawalha&catid=66&Itemid=168	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	6/1/2016	أنظمة المعلومات الحاسوبية
A Verified Arabic-IPA Mapping for Arabic Transcription Technology, Informed by Quranic Recitation, Traditional Arabic Linguistics, and Modern Phonetics.	Brierley, Claire; Sawalha, Majdi; Heselwood, Barry; Atwell, Eric. A Verified Arabic-IPA Mapping for Arabic Transcription Technology, Informed by Quranic Recitation, Traditional Arabic Linguistics, and Modern Phonetics. Journal of Semitic Studies, (Spring 2016) 61 (1): 157-186. doi: 10.1093/jss/fgv035. Oxford Journals. https://academic.oup.com/jss/article-abstract/61/1/157/2472188/A-Verified-Arabic-IPA-Mapping-for-Arabic	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	3/11/2016	أنظمة المعلومات الحاسوبية
Towards an automatic extraction of synonyms for Quranic Arabic WordNet	AlMaayah, Manal; Sawalha, Majdi; Abushariah, Mohammed Towards an automatic extraction of synonyms for Quranic Arabic WordNet International Journal of Speech Technology, Volume 19, Issue 2, June 2016, DOI 10.1007/s10772-015-9301-9 https://link.springer.com/article/10.1007/s10772-015-9301-9	أنظمة المعلومات الحاسوبية	أنظمة المعلومات الحاسوبية	6/1/2016	أنظمة المعلومات الحاسوبية
Mobile money fraud detection using data analysis and visualization techniques	Al-Sayyed, R., Alhenawi, E. A., Alazzam, H., Wrikat, A. A., & Suleiman, D. (2024). Mobile money fraud detection using data analysis and visualization techniques. Multimedia Tools and Applications, 83(6), 17093-17108. Mobile money fraud detection using data analysis and visualization techniques \| Multimedia Tools and Applications	تكنولوجيا المعلومات	تكنولوجيا المعلومات	7/21/2023	تكنولوجيا المعلومات
Recent advances in Multi-objective Cuckoo Search Algorithm, its variants and applications	Makhadmeh, S. N., Awadallah, M. A., Kassaymeh, S., Al-Betar, M. A., Sanjalawe, Y., Kouka, S., & Al-Redhaei, A. (2025). Recent advances in Multi-objective Cuckoo Search Algorithm, its variants and applications: SN Makhadmeh et al. Archives of Computational Methods in Engineering, 1-28. Recent advances in Multi-objective Cuckoo Search Algorithm, its variants and applications \| Archives of Computational Methods in Engineering	تكنولوجيا المعلومات	تكنولوجيا المعلومات	2/9/2025	تكنولوجيا المعلومات
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture	Hossam Faris, Mohammad A. Hassonah, Ala' M. Al-Zoubi, Seyedali Mirjalili, and Ibrahim Aljarah. A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture Neural Computing and Applications, Springer, December 2016. http://link.springer.com/article/10.1007/s00500-016-2442-1	تكنولوجيا المعلومات	تكنولوجيا المعلومات	12/1/2016	تكنولوجيا المعلومات
Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm	Hossam Faris, Ibrahim Aljarah, Nailah Al-Madi, and Seyedali Mirjalili. Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm International Journal on Artificial Intelligence Tools 25, no. 06 (2016) http://www.worldscientific.com/doi/abs/10.1142/S0218213016500330	تكنولوجيا المعلومات	تكنولوجيا المعلومات	12/1/2016	تكنولوجيا المعلومات
Training feedforward neural networks using multi-verse optimizer for binary classification problems	Hossam Faris, Ibrahim Aljarah and Seyedali Mirjalili Training feedforward neural networks using multi-verse optimizer for binary classification problems Applied Intelligence, Springer, March 2016. http://link.springer.com/article/10.1007/s10489-016-0767-1	تكنولوجيا المعلومات	تكنولوجيا المعلومات	3/1/2016	تكنولوجيا المعلومات
A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization	Aljarah, I., Faris, H., Heidari, A. A., Mafarja, M. M., Ala’M, A. Z., Castillo, P. A., & Merelo, J. J. A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization. IEEE Access, 9, (2021). [DOI: 10.1109/ACCESS.2021.3097206]	تكنولوجيا المعلومات	تكنولوجيا المعلومات	7/14/2021	تكنولوجيا المعلومات
Spatio-temporal segmentation in 3D echocardiographic sequences using fractional Brownian motion	Al-Kadi, O.S. Spatio-temporal segmentation in 3D echocardiographic sequences using fractional Brownian motion. IEEE Transactions on Biomedical Engineering 67 (2020), 2286–2296. [DOI: http://dx.doi.org/10.1109/TBME.2019.2958701]	تكنولوجيا المعلومات	تكنولوجيا المعلومات	9/12/2019	تكنولوجيا المعلومات
Hybrid harmony search algorithm for social network contact tracing of COVID-19	Al-Shaikh, A., Mahafzah, B. A., & Alshraideh, M. (2021). Hybrid harmony search algorithm for social network contact tracing of COVID-19. Soft Computing, 1-23.‏ رابط البحث على موقع Springer	علم الحاسوب	علم الحاسوب	6/28/2021	علم الحاسوب
Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients	Abuqaddom, I., Mahafzah, B. A., & Faris, H. (2021). Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients. Knowledge-Based Systems, 230, 107391.‏ رابط البحث على موقع ScienceDirect	علم الحاسوب	علم الحاسوب	10/27/2021	علم الحاسوب
A feature selection algorithm for intrusion detection system based on pigeon inspired optimizer	Alazzam, Hadeel, Ahmad Sharieh, and Khair Eddin Sabri. "A feature selection algorithm for intrusion detection system based on pigeon inspired optimizer." Expert systems with applications 148 (2020): 113249.‏ رابط اابحث على ScienceDirect	علم الحاسوب	علم الحاسوب	6/15/2020	علم الحاسوب

FeaturedResearch // <![CDATA[ _spBodyOnLoadFunctionNames.push("setupPageDescriptionCallout"); // ]]>

https://www.springer.com/gp/book/9783319553535#aboutAuthors​

https://www.springer.com/gp/book/9783319553535#aboutAuthors