AICOM-MP: an AI-based monkeypox detector for resource-constrained environments

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2024-02-06 DOI:10.1080/09540091.2024.2306962

Tianyi Yang, Tianze Yang, Andrew Liu, Na An, Shaoshan Liu, Xue Liu

引用次数: 0

Abstract

Under the Autonomous Mobile Clinics (AMCs) initiative, the AI Clinics on Mobile (AICOM) project is developing, open sourcing, and standardising health AI technologies on low-end mobile devices to e...

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AICOM-MP：基于人工智能的猴痘探测器，适用于资源有限的环境

在自主移动诊所（AMCs）倡议下，移动人工智能诊所（AICOM）项目正在开发、开源和标准化低端移动设备上的健康人工智能技术，以便在移动设备上提供医疗服务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.