Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different ...

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 ...

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 ...

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 ...

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 ...

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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 ...

Abstract: Over recent years, the frequency and intensity of fire disasters have escalated, underscoring the urgent need for accurate and timely disaster classification and mitigation strategies. The ...