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Open access Aug 2026

Valorizing Residue Biomass into Bioenergy: An Explainable Hybrid Machine Learning Model for Predicting Higher Heating Value (HHV) from Elemental Composition

Transforming waste and agricultural-residue biomass into bioenergy is central to the circular bioeconomy, yet routing such heterogeneous residues to the right thermochemical pathway depends on the higher heating value (HHV), which is conventionally measured by slow, resource-intensive bomb calorimetry. Here, we present...

Y. Özüpak, Emrah Aslan, Mehmet Burukanli et al. · 0 citations
Open access Sep 2026

Saturated In-Domain, Separable Out-of-Domain: A Hierarchical Multi-Scale Lesion-Attention Network and a Zero-Shot Cross-Corpus Protocol for Multi-Crop Leaf Disease Classification

Leaf disease classifiers are ranked by held-out accuracy on their training corpus, where that number now exceeds 98% for many modern backbones. We ask what such a measurement can still resolve. On a four-crop, 21-class corpus of 7179 de-duplicated images, we train 26 architectures under one protocol with three seeds an...

Songul Karakus, Mehmet Burukanli, Davut Ari · 0 citations

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