Informatica

To address the problems of poor gesture segmentation, incomplete feature extraction, and low recognition accuracy caused by cluttered backgrounds, light intensity fluctuations, and skin-like background interference in dynamic gesture recognition, a dual-mode feature fusion dynamic gesture recognition method based on GRU-LSTM is proposed for complex backgrounds. First, ada...

This study investigates whether failures of proto-life emergence are primarily due to limited optimization or
to insufficient model expressivity. We formulate an abstract protocell-inspired environment as a continuouscontrol
Markov decision process and train a Soft Actor–Critic (SAC) agent under a maximum-entropy
objective to act as a strong exploration-preserv...

Patients often receive care from multiple hospitals, where laboratory tests are commonly represented using
institution-specific names, units, and reporting conventions. This heterogeneity limits semantic interoperability
across Electronic Medical Record systems. This study proposes LabAlignAgent, a LOINC-enriched
ontology-guided agent for cross-hospital semanti...

Diabetic Retinopathy (DR) is a microvascular complication caused by prolonged hyperglycaemia that damages the retinal capillary network, putting people with diabetes at risk. Damage to these tiny vessels increases vascular permeability and results in microaneurysms, hemorrhages, and hard exudates. If left untreated, progression may lead to irreversible vision loss. Early dete...

Fine-grained classification of tomato leaf diseases faces challenges due to high inter-class similarity and insufficient model generalization ability. To address these issues, this paper proposes an improved EfficientNet architecture that fuses structural reparameterization, a lightweight channel attention mechanism, and an efficient optimization strategy. Specifically, the r...