Statistical Assessment of QC Metrics on Raw LC-MS/MS Data.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6747-6_22
Abstract: Data quality assessment is important for reproducibility of proteomics experiments and reusability of proteomics data. We describe a set of statistical tools to routinely visualize and examine the quality control (QC) metrics obtained for raw… read more here.
Keywords: quality; statistical assessment; assessment metrics; metrics raw ... See more keywords
Learning personalized ADL recognition models from few raw data
Sign Up to like & getrecommendations! Published in 2020 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2020.101916
Abstract: Recognition of activities of daily living (ADL) is an essential component of assisted living systems based on actigraphy. This task can nowadays be performed by machine learning models which are able to automatically extract and… read more here.
Keywords: adl recognition; recognition models; personalized adl; recognition ... See more keywords
The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil
Sign Up to like & getrecommendations! Published in 2021 at "CATENA"
DOI: 10.1016/j.catena.2021.105699
Abstract: Abstract The choice of the method of raw data dividing into train and test subsets in the models based on the artificial neural networks (ANN) is one of the underexplored problems of continuous Spatio-temporal field… read more here.
Keywords: extraction; training; training subset; spatial distribution ... See more keywords
Methods comparison for attitude determination of a lightweight buoy by raw data of IMU
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2018.11.061
Abstract: Abstract Today, one of the most important issues is the determination of instantaneous sea level and distinguishing the Tsunami by floating buoy in the ocean. Usually, gyroscopes are used to measure the angular velocity of… read more here.
Keywords: raw data; euler angles; comparison attitude; attitude determination ... See more keywords
Fast adaptive neighbors clustering via embedded clustering
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.087
Abstract: Abstract Recently, spectral clustering (SC) has been gaining more and more attention due to its excellent performance in unsupervised learning. However, the computational complexity of the SC is high. Also, the adjacency graph matrix of… read more here.
Keywords: graph embedded; embedded data; fast adaptive; raw data ... See more keywords
An integrated approach for spatial distribution of potentially toxic elements (Cu, Pb and Zn) in topsoil
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-86937-1
Abstract: In this study, statistical analysis and spatial distribution were performed to compare raw data and centred log-ratio (clr) transformed data of three copper (Cu), lead (Pb), and zinc (Zn) potentially toxic elements (PTEs) concentration for… read more here.
Keywords: toxic elements; integrated approach; potentially toxic; spatial distribution ... See more keywords
GlycoPOST realizes FAIR principles for glycomics mass spectrometry data
Sign Up to like & getrecommendations! Published in 2021 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkaa1012
Abstract: Abstract For the reproducibility and sustainability of scientific research, FAIRness (Findable, Accessible, Interoperable and Re-usable), with respect to the release of raw data obtained by researchers, is one of the most important principles underpinning the… read more here.
Keywords: mass spectrometry; realizes fair; glycopost realizes; glycopost ... See more keywords
Universal Adversarial Attacks on the Raw Data From a Frequency Modulated Continuous Wave Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218349
Abstract: As more and more applications rely on Artificial Intelligence (AI), it is inevitable to explore the associated safety and security risks, especially for sensitive applications where physical integrity is at risk. One of the most… read more here.
Keywords: data frequency; adversarial attacks; universal adversarial; radar ... See more keywords
SAR Imaging From Azimuth Missing Raw Data via Sparsity Adaptive StOMP
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3132499
Abstract: Synthetic aperture radar (SAR) raw data missing occurs when the radar is interrupted for various reasons during the work. Different solutions have been proposed to this problem. In recent years, with the continuous deepening of… read more here.
Keywords: sar imaging; missing data; sparsity; raw data ... See more keywords
From Raw Data to Smart Manufacturing: AI and Semantic Web of Things for Industry 4.0
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2018.043741325
Abstract: AI techniques combined with recent advancements in the Internet of Things, Web of Things, and Semantic Web-jointly referred to as the Semantic Web-promise to play an important role in Industry 4.0. As part of this… read more here.
Keywords: smart manufacturing; web things; industry; things industry ... See more keywords
A Flexible Deep Learning Architecture for Temporal Sleep Stage Classification Using Accelerometry and Photoplethysmography
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3187945
Abstract: Wrist-worn consumer sleep technologies (CST) that contain accelerometers (ACC) and photoplethysmography (PPG) are increasingly common and hold great potential to function as out-of-clinic (OOC) sleep monitoring systems. However, very few validation studies exist because raw… read more here.
Keywords: wrist worn; ppg; photoplethysmography; raw data ... See more keywords