This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Dyslexia and dysgraphia are common learning disabilities that significantly impact handwriting and reading abilities, making early diagnosis crucial for effective intervention. Traditional assessment ...

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Abstract: The paper focuses on creating an efficient system that can predict the subject's emotional state through analyzing sound environment. Thus, we use open-source audio datasets of various ...

To infer intent, brain–computer interfaces must extract features that accurately estimate neural activity. However, the degradation of signal quality over time hinders the use of feature-engineering ...

Abstract: If diabetic retinopathy is not identified and treated right away, it is a dangerous side effect of diabetes that will cause blindness. In this work, we investigate novel deep learning (DL) ...

Document similarity is a crucial concept in natural language processing (NLP) that measures how closely two or more documents are related in terms of their content. It is widely used in applications ...

In recent years, the exponential growth of available data has prompted a surge in studying complex systems across various research domains. Networks have become a standard tool for modeling the ...

Hello, folks! As you may know, I wrote briefly about time domain feature extraction methods in the previous article. Now, I am going to give more detailed information (mathematical functions and ...

Fast and accurately characterizing animal behaviors is crucial for neuroscience research. Deep learning models are efficiently used in laboratories for behavior analysis. However, it has not been ...