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Statistics report
Feb. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 94
Paper Published : 1276
No. of Authors : 3207
  Journal Paper

Paper Title
Connecting An IoT Prototype for Skin Diseases Classification with Custom Vision Using Http and Mqtt, Protocols

Abstract
Internet of Things (IoT) studies inter connected devices that consumes web facilities over the internet. Smart phones, smart TVs, medical devices or industrial devices can be examples of things that may connect via internet. IoT devices are supported by many standards like: HTTP (Hypertext Transferring Protocol), MQTT (Message Queue Telemetry Transport), and AMQP. With the progress of cloud computing, the challenge is how to communicate these devices with cloud AI applications. This research presents an approach for connecting and implementingthree modules in a Raspberry pi3device with the Custom Vision cloud services for classifying skin diseases lesions. The modules are run on a Raspberry pi3 using Azure at the edge where the custom vision services are existed.Two differentdatasets are used in this work; ISIC 2019 and DermIS.net. Keywords - Iot Protocols, Skin Diseases Classification, Azure Cloud Computing, Custom Vision, Http, Mqtt.


Author - Arwa Mohammed Taqi, Ahmed Awad, Fadwa Al-Azzo, Mariovana Milanova

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