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Open access 2026

FR-CNN: SOFTWARE FAULT PREDICTION USING A NOVEL HYBRID HIERARCHICAL MODEL

A novel hybrid model based on a fine-tuned fully connected fully connected deep neural network, a random forest, and a convolutional neural network that achieves competitive fault prediction performance while requiring lower computational complexity and training time than recent deep-learning approaches.

Mehrasa Jouybari, Alireza Tajary, M. Fateh et al. · 0 citations
Open access 2026

Dual-Level Prototype Alignment via Cross-Attention for Few-Shot Remote Sensing Semantic Segmentation

DLPANet is proposed, a novel dual-level prototype alignment network centered on Prototype-Guided Spatial Attention, enabling simultaneous modeling of scene context and fine-grained details and demonstrates that the decoupled dual cross-attention mechanism provides superior prototype-query alignment compared to prior gl...

Mustafa Alawadi, M. Fateh · 0 citations

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