Tabriz Islamic Arts University

Evaluation Bias in Cross-Context Generalization of EEG-Based Affective Computing: A Simulation Study

Cross-context accuracy in electroencephalography (EEG)-based emotion recognition is usually reported without the model-selection rule, chance-level test, or reliability reference needed to interpret it. We quantify the consequences in simulations with known ground truth and on re...

Bony labyrinth taxonomic identification and long-term evolution of livestock in the Southwest and Central Asia

Abstract Southwest and Central Asia were pivotal regions for the domestication and dispersal of domestic herbivores. Here we investigate long-term variation in bony labyrinth morphology of domestic bovids (sheep, goats and cattle) across the last 10 000 years. We focused on the o...

Artificial neural network optimization of multifunctional wool dyeing with Hypericum scabrum using biomordant and metal biomordant binary systems

The growing demand for sustainable textile coloration has increased interest in natural dyes and eco-friendly mordanting strategies capable of imparting multifunctional properties. In this study, wool yarn was dyed with Hypericum scabrum extract under optimized conditions (pH 5,...

Development and evaluation of a multifunctional smartphone application for integrated women’s physical, reproductive and mental health management

Abstract Maternal health is a complex multimorbidity and has an impact on women of all ages, ethnicities, and social classes at risk of various physical and psychological morbidity, in addition to increased risk for premature death. The prevalence of obesity and overweight among...

RAVA: a robust recurrent active vision agent for plant disease diagnosis under severe environmental noise

Abstract Deep learning models have achieved near-perfect accuracy in plant disease classification within controlled laboratory settings; however, their deployment in real-world agricultural environments is severely hindered by the “deployment gap”—a critical vulnerability to envi...

Quantitative Analysis of Concrete Mechanical Properties with Ultrasonic Shear-Wave Tomography

Abstract Ultrasonic shear-wave tomography (UST) offers a promising nondestructive approach for evaluating the internal condition and mechanical properties of concrete. Although its qualitative capability to detect internal defects is well established, limited research has investi...