Machine Learning
This dataset has been collected in the Patient Recovery Center (a 24-hour, 7-day nurse staffed facility) with medical consultant from the Mobile Healthcare Service of Hamad Medical Corporation.
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1630 Views
This dataset consists of sensory data of digits, i.e., from 0 to 9. The dataset is collected from 20 volunteers by using a 9−axis Inertial Measurement Unit (IMU) equipped marker pen. The objective of this dataset is to design classification algorithms for recognizing a handwritten digit in real-time.
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2197 Views
Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails.
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487 Views
This dataset (GeoCOV19Tweets) contains IDs and sentiment scores of geo-tagged tweets related to the COVID-19 pandemic. The real-time Twitter feed is monitored for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. The tweet IDs in this dataset belong to the tweets created providing an exact location.
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40159 Views
With the increasing popularity of the Internet of Things (IoT), security issues in the IoT
network have become the focus of research. Since the number of IoT devices connected to the network
has increased, the conventional network framework faces several problems in terms of network latency
and resource overload. Fog computing is intended to construct a new network framework. However, fog
computing has also caused new security challenges, such as authentication, authorization, and secure
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2013 Views
Each voice sample is stored as a .WAV file, which is then pre-processed for acoustic analysis using the specan function from the WarbleR R package. Specan measures 22 acoustic parameters on acoustic signals for which the start and end times are provided.
The output from the pre-processed WAV files were saved into a CSV file, containing 3168 rows and 21 columns (20 columns for each feature and one label column for the classification of male or female).
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1448 Views
Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm
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1286 Views
As part of preparedness efforts in dealing with this, it is important for Indonesia to prepare guidelines for preparedness in dealing with COVID-19.
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3243 Views
Visible Light Positioning is an indoor localization technology that uses wireless transmission of visible light signals to obtain a location estimate of a mobile receiver.
This dataset can be used to validate supervised machine learning approaches in the context of Received Signal Strength Based Visible Light Positioning.
The set is acquired in an experimental setup that consists of 4 LED transmitter beacons and a photodiode as receiving element that can move in 2D.
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1051 Views
A dataset from semiconductor assembly and testing processes is used to evaluate the model selection prediction method. The response variable refers to the throughput rate of a specific machine–product combination in one of the assembly and testing process steps based on historical data. This data set includes 1 response variable, 5 categorical machine and product attributes and 11 numerical attributes. The dataset contains 13186 observations.
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2857 Views