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ORCIDMohammed Alsuhaibani
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2020 – today
- 2025
[j9]Qaizar Javed, Arfan Jaffar, Muhammad Ali Naeem
, Izhar Ahmed Khan, Mohammed Alsuhaibani:
An Adaptive Content Caching Model to Improve the NDN-Based IoT Network Performance. IEEE Access 13: 137102-137116 (2025)- [j8]Asif Ali, Izhar Ahmed Khan, Yuanqing Xia, Yuan Tian, Saba Sajid, Mohammed Alsuhaibani:
A retrieval-augmented LLM framework for severity prediction of bug reports in cloud-based mobile applications. J. Cloud Comput. 14(1): 77 (2025) - [j7]Arwa Almarzoqi, Mohammed Alsuhaibani:
Leveraging large language models for detecting and preserving emotions in quran translations. J. King Saud Univ. Comput. Inf. Sci. 37(9) (2025) - [j6]Ali Khan, Somaiya Khan, Mohammed A. M. Elhassan, Izhar Ahmed Khan, Hai Deng, Mohammed Alsuhaibani:
VDXNet: A Novel Lightweight Deep Learning Model for Vehicle Detection With Aerial Images. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j5]Mohammed Alsuhaibani:
The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference. PeerJ Comput. Sci. 11: e2957 (2025) - [j4]Mohammed Alsuhaibani, Kamel Gaanoun, Ali Mustafa Qamar:
Artificial intelligence-driven insights into Arab media's sustainable development goals coverage. PeerJ Comput. Sci. 11: e3071 (2025) - [j3]Izhar Ahmed Khan, Dechang Pi, Shaharyar Kamal, Mohammed Alsuhaibani, Bandar M. Alshammari:
Federated-Boosting: A Distributed and Dynamic Boosting-Powered Cyber-Attack Detection Scheme for Security and Privacy of Consumer IoT. IEEE Trans. Consumer Electron. 71(2): 6340-6347 (2025) - 2024
- [j2]Kashaf U. Duja, Izhar Ahmed Khan, Mohammed Alsuhaibani:
Video Surveillance Anomaly Detection: A Review on Deep Learning Benchmarks. IEEE Access 12: 164811-164842 (2024) - [c7]Arwa Almarzoqi, Mohammed Alsuhaibani:
Sentiment Analysis-Based Review of Sentiment Polarity in Translations. CSAI 2024: 382-391 - 2023
- [c6]Hasna Chouikhi, Fethi Jarray, Mohammed Alsuhaibani:
A Sequence-to-Sequence Neural Network for Joint Aspect Term Extraction and Aspect Term Sentiment Classification Tasks. ICAART (3) 2023: 117-123 - [c5]Rakia Saidi, Fethi Jarray, Mohammed Alsuhaibani:
SiameseBERT: A Bert-Based Siamese Network Enhanced with a Soft Attention Mechanism for Arabic Semantic Textual Similarity. ICAART (3) 2023: 146-151 - 2022
- [j1]Kamel Gaanoun, Mohammed Alsuhaibani:
Fabricated Hadith Detection: A Novel Matn-Based Approach With Transformer Language Models. IEEE Access 10: 113330-113342 (2022) - [c4]Rakia Saidi, Fethi Jarray, Mohammed Alsuhaibani:
Comparative Analysis of Recurrent Neural Network Architectures for Arabic Word Sense Disambiguation. WEBIST 2022: 272-277 - 2020
- [b1]Mohammed Alsuhaibani:
Joint approaches for learning word representations from text corpora and knowledge bases. University of Liverpool, UK, 2020
2010 – 2019
- 2019
- [c3]Mohammed Alsuhaibani, Takanori Maehara, Danushka Bollegala:
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy. AKBC 2019 - 2018
- [c2]Mohammed Alsuhaibani, Danushka Bollegala:
Joint Learning of Sense and Word Embeddings. LREC 2018 - 2016
- [c1]Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
Joint Word Representation Learning Using a Corpus and a Semantic Lexicon. AAAI 2016: 2690-2696 - 2015
- [i1]Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
Joint Word Representation Learning using a Corpus and a Semantic Lexicon. CoRR abs/1511.06438 (2015)
Coauthor Index
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