A new doctoral thesis at Karlstad University provides increased understanding of how medicines can be analysed more reliably ...
A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...
A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language ...
This article adopts a constructivist grounded theory approach based on the principle of intersubjective relations and the co-construction of interpretations. Reflecting on the author's experiences as ...
Causal information, from health guidance on diets that prevent disease to financial advice for growing savings, is everywhere. Psychological research has shown that people can readily use causal ...
LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
Stroke is one of the leading causes of disability and death worldwide, often leading to physical paralysis and cognitive dysfunction, seriously affecting patients’ quality of life, and increasing ...
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Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...
ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.
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