This is a deep learning-based project for plant leaf disease recognition, which aims to automatically identify the health status and specific disease types of plant leaves using convolutional neural ...

Abstract: Tabular data is important for medical care, finance, and the field of engineering, but deep learning models struggle with its varied component types, lack of spatial organization, and noise ...

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...

bLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom cDepartment of Eye and Vision ...

Neuromorphic computing seeks to emulate the structural and functional organization of the brain, enabling computational systems to operate in ways that resemble biological neural processing. Its ...

Wi-Fi is something we all need, but it feels like access to it gets harder to afford every year. Whether you’re locked into a specific Internet carrier or plan that keeps changing, it’s expensive.

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ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...

Objective: The aim of the present study proposed a deep learning framework for different influenza epidemic states based on Baidu index and the influenza-like-illness rate (ILI%). Methods: Official ...