Machine Learning
This multispectral remote sensing image data contained pixels of size (1024 x 1024) for the region around Kolkata city in India and was obtained with LISS-III sensor. There are four spectral bands, i.e., two from visible spectrum (green and red) and two from the infrared spectrum (near-infrared and shortwave infrared). The spatial resolution and spectral variation over the wavelength are 23.5m and 0.52 - 1.7 μm, respectively.
- Categories:
1971 Views
This data is related to Novel window for cancer nanotheranostics: non-invasive ocular assessments of tumor growth and nanotherapeutic treatment efficacy in vivo published at https://doi.org/10.1364/BOE.10.000151
The file also contains Deep Learning Codes for segmentation of Tumor using U-Net model. Training weights are also uploaded.
- Categories:
694 Views
Spectral data for the manuscript "Predictability of vibration loads from experimental data by means of reduced vehicle models and machine learning "
- Categories:
176 Views
This data is used to train ML based SINR predictor
- Categories:
132 Views
The dataset contains:
1. We conducted a A 24-hour recording of ADS-B signals at DAB on 1090 MHz with USRP B210 (8 MHz sample rate). In total, we got the signals from more than 130 aircraft.
2. An enhanced gr-adsb, in which each message's digital baseband (I/Q) signals and metadata (flight information) are recorded simultaneously. The output file path can be specified in the property panel of the ADS-B decoder submodule.
3. Our GnuRadio flow for signal reception.
4. Matlab code of the paper, wireless device identification using the zero-bias neural network.
- Categories:
3473 Views
Measurements collected from pods M1, S1 and S2 and links L1, L2, L3 and L4.
- Categories:
362 Views
This database is provided for the Fake News Detection task. In addition to being used in other tasks of detecting fake news, it can be specifically used to detect fake news using the Natural Language Inference (NLI).
- Categories:
9475 Views
We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and 2 male professional actors performing various full-body movements and expressions, HUMAN4D provides a diverse set of motions and poses encountered as part of single- and multi-person daily, physical and social activities (jumping, dancing, etc.), along with multi-RGBD (mRGBD), volumetric and audio data. Despite the existence of multi-view color datasets c
- Categories:
1497 Views
This work contains data gathered by a series of sensors (PM 10, PM 2.5, temperature, relative humidity, and pressure) in the city of Turin in the north part of Italy (more precisely, at coordinates 45.041903N, 7.625850E). The data has been collected for a period of 5 months, from October 2018 to February 2019. The scope of the study was to address the calibration of low-cost particulate matter sensors and compare the readings against official measures provided by the Italian environmental agency (ARPA Piemonte).
- Categories:
960 Views
This dataset is for light field image augmentaion. The dataset contains 100 pairs of light field image, each of them consists of "original" and "modified". "Original" is light field image with only background, "modified" is light field image with exactly same background and an object on it.
- Categories:
201 Views