Artificial Intelligence
This Dataset is related to the data prices of the cryptocurrency "Ethereum" over four years, from 01/01/2018 to 11/22/2022. Also, the new dataset created by the predictions of the intelligent filtered LSTM model is included.
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611 Views
Data diversity and volume are crucial to the success of training deep learning models, while in the medical imaging field, the difficulty and cost of data collection and annotation are especially huge. Specifically in robotic surgery, data scarcity and imbalance have heavily affected the model accuracy and limited the design and deployment of deep learning-based surgical applications such as surgical instrument segmentation.
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250 Views
The dataset, Pedestrians with IMU (Ped-IMU), contains pedestrians moving in different behaviors while carrying a wearable sensor. We use a smartphone mounted on a subject's waist as a wearable device and record the smartphone's accelerometer, gyroscope, and magnetometer readings. We invite ten subjects of ages 22-35 to perform walking around with 4 trajectories: Left-Turn Back (L-TB), Left-Go Straight (L-GS), Right-Turn Back (R-TB), and Right-Go Straight (R-GS). A camera is set with screen ratio 16:9, resolution 1920*1080 pixels, and 12 fps.
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335 Views
DRL DP USV
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47 Views
A dataset of Global Positioning System (GPS) spoofing attacks is presented in this article. This dataset includes data extracted from authentic GPS signals collected from different locationsto emulate a moving and a static autonomous vehicle using a universal software radio peripheral unit configured as a GPS receiver. During the data collection, 13 features are extracted from eight-parallel channels at different receiver stages (i.e., acquisition, tracking, and navigation decoding).
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3413 Views
The data set sentences are evenly distributed in length
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54 Views
The data set sentences are evenly distributed
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38 Views
The Paddy Doctor dataset contains 16,225 labeled paddy leaf images across 13 classes (12 different paddy diseases and healthy leaves). It is the largest expert-annotated visual image dataset to experiment with and benchmark computer vision algorithms. The paddy leaf images were collected from real paddy fields using a high-resolution (1,080 x 1,440 pixels) smartphone camera. The collected images were carefully cleaned and annotated with the help of an agronomist.
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10895 Views
The Research Paper "Detection of Bicep Form Using Myoware and Machine Learning" based on the novel dataset has been recently accepted in September 2022 and is being published in SCOPUS Indexed SPRINGER Book Series “Lecture Notes in Networks and Systems”
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1306 Views
Prior researches have shown the potential that WiFi signals could be used for human activities recognition (HAR), or monitor a person's gait for human identification (HI). Recently researchers pay more attention to the impact of environmental factors such as activity orientation, walking trajectory, WiFi device location, etc. on the HAR or HI tasks' performance.
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451 Views