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Shrooq Alsenan
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2020 – today
- 2024
- [j6]Mashael Aldayel
, Nouf Alsedairy, Abeer Al-Nafjan
, Shrooq Alsenan:
Systematic Review of Brain-Computer Interface-Based User Authentication System: Trends, Challenges, and Directions. IEEE Access 12: 96848-96861 (2024) - 2023
- [j5]Ahmad Taher Azar
, Mohamed Tounsi, Suliman Mohamed Fati, Yasir Javed, Syed Umar Amin
, Zafar Iqbal Khan, Shrooq Alsenan, Jothi Ganesan:
Automated System for Colon Cancer Detection and Segmentation Based on Deep Learning Techniques. Int. J. Sociotechnology Knowl. Dev. 15(1): 1-28 (2023) - 2021
- [j4]Shrooq Alsenan
, Isra Al-Turaiki
, Alaaeldin M. Hafez:
Auto-KPCA: A Two-Step Hybrid Feature Extraction Technique for Quantitative Structure-Activity Relationship Modeling. IEEE Access 9: 2466-2477 (2021) - [j3]Shrooq Alsenan, Isra Al-Turaiki, Alaaeldin M. Hafez:
A deep learning approach to predict blood-brain barrier permeability. PeerJ Comput. Sci. 7: e515 (2021) - [c5]Shrooq Alsenan, Deem Saleh Aljameel, Sarah Arfaj Alsenan, Dalal Fahad Al-Abdulaziz:
IoT based Attendance Management System (AMS) with Smartwatches' Compatibility. CIIS 2021: 72-76 - [c4]Shrooq A. Alsenan:
An Empirical Comparison of Machine and Deep Learning Algorithms' Performance on Chemical Data. iiWAS 2021: 655-658 - 2020
- [j2]Shrooq Alsenan
, Isra Al-Turaiki, Alaaeldin M. Hafez:
Feature Extraction Methods in Quantitative Structure-Activity Relationship Modeling: A Comparative Study. IEEE Access 8: 78737-78752 (2020) - [j1]Shrooq Alsenan
, Isra Al-Turaiki, Alaaeldin M. Hafez:
A Recurrent Neural Network model to predict blood-brain barrier permeability. Comput. Biol. Chem. 89: 107377 (2020) - [c3]Shrooq A. Alsenan, Isra Al-Turaiki, Alaaeldin M. Hafez:
Chemoinformatics for Data Scientists: an Overview. iiWAS 2020: 456-461
2010 – 2019
- 2016
- [c2]Shrooq Alsenan, Mourad Ykhlef
:
Statistical Machine Translation Context Modelling with Recurrent Neural Network and LDA. AISI 2016: 75-84 - [c1]Shrooq Alsenan, Abdulrahman A. Mirza
:
E-commerce alarming security symptoms review and discussion of attacks indicators in e-commerce. iiWAS 2016: 313-317
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