4 papers
The Effect of High-Frequency, Automatically-marked Formative Assessments on Student Outcomes in A-Level Sciences
Matey Yordanov, Mikhail Bychkov, Andrei Kuchma
Traditional human marking in upper-secondary STEM education creates a structural bottleneck that restricts the frequency of formative mock examinations. This quasi-experimental, mi…
AURA: A Hybrid Spatiotemporal-Chromatic Framework for Robust, Real-Time Detection of Industrial Smoke Emissions
Mikhail Bychkov, Matey Yordanov, Andrei Kuchma
This paper introduces AURA, a novel hybrid spatiotemporal-chromatic framework designed for robust, real-time detection and classification of industrial smoke emissions. The framewo…
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
Boris Kriuk, Matey Yordanov
This paper introduces GeloVec, a new CNN-based attention smoothing framework for semantic segmentation that addresses critical limitations in conventional approaches. While existin…
Cross-Technology Generalization in Synthesized Speech Detection: Evaluating AST Models with Modern Voice Generators
Andrew Ustinov, Matey Yordanov, Andrei Kuchma +1
This paper evaluates the Audio Spectrogram Transformer (AST) architecture for synthesized speech detection, with focus on generalization across modern voice generation technologies…