Electroencephalogram (EEG) based classification of hand movements have an eloquent significance in the diverse fields like biomedical engineering, neuroscience, and assistive technologies. EEG can be used to convert brain waves into useful commands s... read more
This paper presents a deep learning-based framework for tactical analysis in football, focusing on modeling structured tracking data rather than attempting full end-to-end perception. We introduce two modular components: Tactiformer, a transformer-ba... read more
Humans readily generalize abstract relations, such as recognizing "constant" in shape or color, whereas neural networks struggle to do so, limiting their flexible reasoning. We ask what properties of internal representations enable abstract relationa... read more
This investigation employed both classical and hybrid machine learning (ML) strategies to examine the impact of alkali-activated materials on the compressive strength (CS) of Fly ash-based alkali-activated concrete (FAAC). For this reason, four super... read more
Natural scenes are often spatially and spectrally complex with a variety of land covers. Because of this complexity, where we look may not be guided by simple well-defined local image features or objects. Instead, gaze behavior may satisfy a more fun... read more
Transient hypocalcemia is a common complication of total thyroidectomy. This study aimed to evaluate whether machine learning (ML)-based models could enhance early risk prediction and support a robust clinical decision support system for hypocalcemia... read more
Many researchers have studied the application of titanium dioxide (TiO2) for photodegradation, but optimization is time-consuming and resource-intensive due to the complexity of various experimental parameters. In this study we developed a machine l... read more
Intelligent transportation systems (ITS) have experienced an important development in the past decade because of developments in communication, control, and information technology deployed to roads, vehicles, and traffic controller systems. Vehicle f... read more
To evaluate the clinical reasoning ability of large language models (LLMs) and retrieval-augmented generation (RAG) systems in pediatric myopia management using a real-world, expert-annotated case set covering diverse refractive, pathological, and hi... read more
In the ongoing effort to study the SARS-CoV-2 virus and COVID-19 disease, assessment of the T cell immune response has guided vaccine and therapeutic development. T cell immunity, as measured by T cell activation, is commonly assessed by the activati... read more
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