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Characterization of non-cardiac arrest
PulsePoint activations in public and private
settings
Abstract Background Geospatial smartphone application alert systems are used in some communities to crowdsource community response for out-of-hospital cardiac arrest (OHCA). Although the clinical focus of this strategy is OHCA, dispatch…
Characterizing people with frequent emergency department visits and substance use: a retrospective cohort study of linked administrative data in Ontario, Alberta, and B.C., Canada
Background: Substance use is common among people who visit emergency departments (EDs) frequently. We
aimed to characterize subgroups within this cohort to better understand care needs/gaps, and generalizability of
characteristics in three…
aimed to characterize subgroups within this cohort to better understand care needs/gaps, and generalizability of
characteristics in three…
Chatbot-based Information Service using RASA Open-Source Framework
in Prambanan Temple Tourism Object
The pandemic has caused a shift in the tourism industry's drive towards comprehensive digitization. This approach is used to
prevent the spread of the Covid-19 virus. The impact of Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) limiting the…
prevent the spread of the Covid-19 virus. The impact of Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) limiting the…
Chicken Egg Fertility Identification using FOS and BP-Neural Networks
on Image Processing
This article aims to test FOS (first-order statistical) in extracting features of embryonated eggs. This test uses the initial step of
image processing to get the best input image in feature extraction. The image processing method starts from the…
image processing to get the best input image in feature extraction. The image processing method starts from the…
Children’s mobile communicative practices and locational
privacy
Children start using smartphones increasingly from early ages. This makes it more difficult for them to develop an understanding of online privacy
and managing their personal data. Many parents monitor and regulate children’s online media use.…
and managing their personal data. Many parents monitor and regulate children’s online media use.…
Chord Recognition in Music Using a Robust Pitch Class Profile (PCP) Feature and Support Vector Machines (SVM)
Music serves as a powerful and immediate avenue for the expression of emotions, and a nuanced understanding of musical compositions is crucial for accurately interpreting and appreciating them. This research centers on the examination of robust Pitch…
Choreographing digital love: materiality, emotionality, and
morality in video-mediated communication between
Chinese migrant parents and their left-behind children
Video-mediated communication (VMC) has become particularly important for geographically dispersed families. Drawing on a 2-year video-based
ethnographic study of under-resourced Chinese rural-to-urban migrant parents and their left-behind children,…
ethnographic study of under-resourced Chinese rural-to-urban migrant parents and their left-behind children,…
Classification Based on Machine Learning Methods for Identification of
Image Matching Achievements
Classification is one method in image processing. Image processing to search for similar images or with similarity ownership
is called image matching or image matching. In the measurement of image matching, the original and fake logo objects are…
is called image matching or image matching. In the measurement of image matching, the original and fake logo objects are…
Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet
Clove is one of the precious plants produced in Indonesia. Clove has many benefits for humans, but
clove cultivation often experiences problems due to disease attacks, including Leaf Blister Blight
Disease(CDC). The handling of CDC disease is…
clove cultivation often experiences problems due to disease attacks, including Leaf Blister Blight
Disease(CDC). The handling of CDC disease is…
Classification of Coffee Fruit Maturity Level based on Multispectral Image Using Naïve Bayes Method
The current research about the classification of coffee fruit ripeness based on multispectral images has been developed using the Convolutional Neural Network (CNN) method to extract patterns from highdimensional multispectral images. The high…