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School of Electrical Engineering

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#machine learning Preprint Sep 2026

An Input-Frugal Deep Learning Framework for Weather-Driven National Crop-Yield Forecasting: A Case Study of Brazilian Soybean

Reliable, timely crop-yield forecasts are essential for market stability and risk management, yet many approaches rely on costly or hard-to-scale inputs. We present a frugal, transferable, and architecture-agnostic deep learning framework that uses routine weather as the only time-varying input plus two lightweight sta...

Fernando Dupin da Cunha Mello, Prashant Kumar, Erick G. Sperandio Nascimento Stricto Sensu Department et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat?

Large language models (LLMs) have shown strong performance in creative text generation, yet their ability to produce culturally grounded and stylistically constrained literary forms remains underexplored. Prior work has focused largely on modern language varieties and poetry, while classical prose traditions such as ma...

AbdulRahman A. Morsy, Aya Zirikly Department of Computer Science, School Of Electrical Engineering et al. · 0 citations

Preprint Aug 2026

Unleashing the Power of Text: Text-Guided Flow Matching for Image Fusion under Complex Degradations

TGFusion is proposed, a text-guided latent-space flow matching framework that unifies degradation suppression and cross-modal fusion and achieves superior or competitive performance in perceptual quality, image naturalness, structural-detail preservation, and infrared-saliency retention, while remaining robust across d...

Axi Niu, Jiehua Li, Kang Zhang et al. · 0 citations