Tag: Fusion

Researchers Manjog Padhy and Rasmita Rautray have developed a modified DistilBERT architecture that integrates lexical emotion representations into the transformer ...

A study in the Journal of Materials Science identifies optimized laser powder bed fusion parameters for WE43 magnesium alloy, achieving ...

A new transformer-based framework achieves high accuracy in attributing terrorism attacks to armed groups using the Global Terrorism Database.

Researchers have developed a feature fusion framework that improves plant leaf disease classification under blur and compression while revealing specific ...

Researchers developed an RGB-D feature fusion network using rotated bounding boxes to detect rice panicles and estimate field yields with ...

A physics-guided hybrid framework combining MODFLOW and a Temporal Fusion Transformer provides accurate daily groundwater predictions and calibrated uncertainty intervals ...

A feature-adaptive fusion hybrid quantum–classical neural network achieves competitive accuracy in biomedical image classification benchmarks and higher aggregate mean accuracy ...

A proteomic and functional study reveals that down-regulation of NCK1 impairs placental cytotrophoblast fusion in early-onset preeclampsia via an EIF3D ...

Researchers have developed an interpretable deep learning framework combining feature gating and autoencoders to assess corporate debt maturity risk across ...

Researchers developed a parametric fusion modeling framework to mathematically reconstruct the destroyed Ming-dynasty spiral-caisson ceiling of Kaifu Temple using a ...