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ORCIDJournal of Big Data, Volume 13
Volume 13, Number 1, December 2026
- Wasim Khan, Nadhem Sultan Ebrahim, Mohammad Ishrat, Hasan Alkahtani, Theyazn H. H. Aldhyani:
An adversarial variational graph autoencoder with contrastive learning for robust anomaly detection in large scale attributed networks. 1 - Xiang Zhao, Peyman Arebi:
A temporal federated learning of neural network for enhancing controllability temporal network robustness on federated social internet of things networks. 2 - Tahir Zaman, Asghar Khan, Zabihullah Movaheedi:
An innovative approach to decision-making through cubical fuzzy Einstein Hybrid aggregation operators. 3 - Mohit Bhatnagar, Shivaraj Huchhanavar:
Hybrid machine learning modelling with explainability for predicting case delays and durations in Indian lower courts. 4 - Yadavalli Uday Shankar, Somya Ranjan Sahoo:
A multi-granular hybrid neural architecture for detecting abusive content in online social networks (OSNs) with contextual awareness. 5 - Nouar AlDahoul, Myles Joshua Tan, Harishwar Reddy Kasireddy, Yasir Zaki:
Guardians of digital safety: benchmarking large language models in the fight against online toxicity. 6 - Ahmed F. El-Sayed, Saad M. Darwish, Nevine M. Labib, Mohamed S. El-Hadidi:
Generative deep learning in bioinformatics: a microservices-driven paradigm for big data environment. 7 - Faris H. Rizk, Khaled Sh. Gaber, Marwa Metwally Eid, Doaa Sami Khafaga, Amel Ali Alhussan, El-Sayed M. El-Kenawy:
Dynamic binary swordfish movement optimization algorithm for feature selection. 8 - Priya Batta, Abhishek Kumar, Pramod Singh Rathore:
A secure framework for optimized data transmission using steganographic techniques. 9 - Sara Sweidan, Norhan A. Farouk, Mohamed Abouhawwash, S. S. Askar, Mohamed Taha:
DeBERTa-based framework for detecting machine-generated content on social media: a comparative study. 10
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