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Titlebook: IoT Technologies for Health Care; 8th EAI Internationa Susanna Spinsante,Bruno Silva,Rossitza Goleva Conference proceedings 2022 ICST Insti

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https://doi.org/10.1007/978-3-030-99197-5artificial intelligence; computer hardware; computer networks; computer science; computer systems; comput
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978-3-030-99196-8ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022
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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/i/image/475099.jpg
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Detection of Diabetic Retinopathy Using CNNnd classifying fundus images. The proposed method is an implementation of CNN algorithm that detects and classifies fundus images based on the stage of the disease. As a result, the accuracy we obtained in our approach has reached 92.26% and MSE of 0.0628.
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Identification of Drug-Drug Interactions Using OCR. In this research, OCR is used to detect and extract the drug name from the drug boxes. Then the extracted drug name is used as input for the DDI identification process. The results of the proposed system are promising.
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CS-Based Decomposition of Acoustic Stimuli-Driven GSR Peaks Sensed by an IoT-Enabled Wearable Devicesed Sensing (CS) approach for extraction of peaks from GSR signals acquired with an IoT-enabled wrist-worn device, during unpleasant sound stimulation. Then, once the sparse peaks are detected, the overall GSR phasic component is reconstructed, too.
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1867-8211 uitous and mobile computing; information systems – information retrieval; applied computing - physical sciences and engineering; applied computing – life and medical sciences..978-3-030-99196-8978-3-030-99197-5Series ISSN 1867-8211 Series E-ISSN 1867-822X
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