Machine Learning
This dataset includes acceleration data measured by 36 participants across 154 Tactons (i.e., Tactile Icons). We used three iOS smartphones (iPhone 13 mini, iPhone 14, and iPhone 11 Pro Max) by Apple Inc. to collect acceleration data as well as sensory and emotional ratings of Tactons on various consumer phones. These phones varied in size and mass: iPhone 13 mini (64.2 x 131.5 x 7.65 mm, 141 g), iPhone 14 (71.5 x 146.7 x 7.8 mm, 172 g), and iPhone 11 Pro Max (77.8 x 158.0 x 8.1 mm, 226 g).
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This is a wheat breeding phenotyping and yield dataset, including canopy height (CH, m), canopy volume (CV, m3), and leaf area index (LAI) collected in the field; vegetation index (VI) generated by multispectral data acquired by UAV remote sensing; trial site weather (Weather); and yield (Yield, kg). The data comes from field trials.
Data acquisition and processing are described in the relevant part of the manuscript.
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Tourism is increasing worldwide and has many benefits for countries and cities, such as creating jobs, increasing company revenue, and improving government tax collection. As such, tourism is an unstoppable trend followed by countries and municipalities that try to stimulate this activity. However, unexpected impacts of this, in principle, wealthy activity must be observed.
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Abstract
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This study introduces a novel soil texture dataset designed to overcome geographic constraints and improve the generalization of classification models. Using the USDA soil classification triangle as a framework, the dataset is systematically generated by combining pure sand, silt, and clay in varying proportions to create diverse soil texture classes. The soil mixtures are captured using a multispectral sensor with seven bands, ensuring a rich representation of spectral information.
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This study identifies representative sensors for monitoring fan performance by analyzing vibration data collected from piezoelectric sensors during various operational modes. The dataset, which includes measurements at a rate of 300 samples/sec from 10 sensors, covers six modes of operation: Maximum Speed, Maximum Speed with Oscillation, Minimum Speed, Minimum Speed with Oscillation, Minimum to Maximum Speed, and a comprehensive dataset combining all modes.
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Moving away from plain-text DNS communications,
users now have the option of using encrypted DNS protocols
for domain name resolutions. DNS-over-QUIC (DoQ) employs
QUIC—the latest transport protocol—for encrypted communi-
cations between users and their recursive DNS servers. QUIC is
also poised to become the foundation of our daily web browsing
experience by replacing TCP with HTTPP/3, the latest version
of the HTTP protocol.
Traditional TCP-based web browsing is vulnerable to website
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This dataset is collected at KAIST, Daejeon, and KAIST by ISILAB to research seamless indoor-outdoor detection. The collecting device is a Raspberry Pi 4B+ with touchscreen UI connected with a Pmod Nav module and a PmodGPS. This collection has a rough three-month time span, which mitigates the specific time-specific bias. Further, in the collection, we also swap the wiring to simulate the device bias. The dynamic calibration is not applied to the dataset; searchers may choose to apply the dataset or not.
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This dataset integrates three Publicly available sources of drug-target interaction data: the Human dataset, the Biosnap dataset, and the DrugBank dataset, combining them into a comprehensive resource for drug discovery and bioinformatics research. It includes a diverse set of human proteins identified as potential drug targets, along with a variety of corresponding drug molecules. Each drug-target pair is accompanied by interaction labels, indicating whether the drug interacts with the protein target.
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This dataset integrates three valuable sources of drug-target interaction data: the Human dataset, the Biosnap dataset, and the DrugBank dataset, combining them into a comprehensive resource for drug discovery and bioinformatics research. It includes a diverse set of human proteins identified as potential drug targets, along with a variety of corresponding drug molecules. Each drug-target pair is accompanied by interaction labels, indicating whether the drug interacts with the protein target.
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