Mixture-of-Experts (MoE) architectures decouple representational capacity from per-token computational cost: each input activates only a few specialised experts, yielding far greater capacity than dense models at equal activation cost. Federated Learning (FL)…
Background Transformer-based language models dominate modern natural language processing but impose substantial computational costs during full fine-tuning, limiting accessibility on consumer-grade hardware. Knowledge Distillation and Low-Rank Adaptation (LoRA…
Reinforcement learning is a machine learning paradigm that aims to develop optimal policies for discrete-time control problems based on quantitative feedback on the learner’s behaviour. Reinforcement learning is formulated as a gradient-based optimisation proc…
Modern manufacturing is progressing towards Industry 4.0 and Robotics 4.0, which puts the industrial robots in the focus of contemporary manufacturing. These sophisticated robots keep on producing multi-sensor rich data, which depicts their internal kinematics…
Artificial intelligence has become a key driver of innovation in geospatial data analysis. It enables new prediction, classification and decision-making methods in areas such as urban planning, environmental monitoring and mobility services. However, many arti…
Artificial Intelligence is increasingly used in clinical diagnostics; yet many systems fail to capture physician trust because their decision-making processes are unclear and difficult to interpret. To address this challenge, I propose the design of an explain…
Transparency is all around us. From windows to glass encased shopping malls. From drinking glasses to aquariums. And from safety goggles to protective encasings. It is one of the signs of technological advancement and prosperity, widely utilized in art and eng…
Дисертація на здобуття наукового ступеня доктора філософії за спеціальністю 122 Комп’ютерні науки (12 Інформаційні технології). Національний технічний університет «Харківський політехнічний інститут» Міністерства освіти і науки України, м. Харків, 2026. У дисе…
Кваліфікаційна робота присвячена розробці програмної системи автоматизованого виявлення та класифікації транспортних засобів у відеопотоці засобами комп’ютерного зору. У роботі проведено аналіз предметної галузі та існуючих аналогічних систем детекції об’єктів…
As optical systems advance in capability, they present new engineering challenges. This work focuses on two such challenges: controlling stray light in imaging systems with increasingly demanding out-of-field stray light requirements and understanding the rela…
Large language models (LLMs) have reshaped natural language processing, demonstrating remarkable reasoning across diverse tasks. Their rapid real-world integration has fostered growing reliance on their perceived cognitive abilities, with users expecting model…
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