This study introduces a novel approach to community detection in complex networks by integrating fuzzy logic with multi-criteria decision-making techniques, and customizes the k-means clustering algorithm to accommodate small- and large-scale network structures.
Mohamed el-Moussaoui, Mohamed Hanine, S. Alshuhri et al.· International Journal of Adv...· 0 citations
This study proposes a multimodal deep learning framework for Urdu emotion recognition by integrating speech and text modalities that surpasses the existing UMEDNet benchmark, demonstrating the effectiveness of transformer-based feature extraction and multimodal late fusion for Urdu emotion recognition.
Muhammad Sheraz, Adil Majeed, Shehzad Khalid et al.· Computer Modeling in Enginee...· 0 citations
HEbdMIA is a lightweight homomorphic encryption-based defense that operates at the post-inference stage by encrypting model output logits without requiring retraining or architectural modifications, indicating that HEbdMIA provides an effective, scalable, and deployment-friendly solution for enhancing privacy in real-w...
Akash Shah, M. A. Wani, R. Chaturvedi et al.· Computers, Materials & C...· 0 citations
It is shown that the enhanced Zynerator framework reduces development effort, strengthens security posture, and accelerates DevSecOps adoption, indicating that DevSecOps-aware model-driven engineering offers a viable pathway toward secure, auto-mated software delivery.
Younes Zouani, Mohamed Lachgar, Youssef Harrati et al.· International Journal of Adv...· 0 citations
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