Spectral based pipeline leak detection using a single spatial measurement
Sign Up to like & getrecommendations! Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2021.107940
Abstract: Abstract This study offers a vast improvement to the established Matched Field Processing (MFP) method for leak identification in terms of its versatility to pinpoint leaks with a single spatial measurement. All the previous schemes… read more here.
Keywords: spatial measurement; single spatial; spectral based; based pipeline ... See more keywords
Exodus: sequencing-based pipeline for quantification of pooled variants
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac319
Abstract: Abstract Summary Next-Generation Sequencing is widely used as a tool for identifying and quantifying microorganisms pooled together in either natural or designed samples. However, a prominent obstacle is achieving correct quantification when the pooled microbes… read more here.
Keywords: quantification; exodus; exodus sequencing; quantification pooled ... See more keywords
A Vision-Based Pipeline for Vehicle Counting, Speed Estimation, and Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3004066
Abstract: Cameras have been widely used in traffic operations. While many technologically smart camera solutions in the market can be integrated into Intelligent Transport Systems (ITS) for automated detection, monitoring and data generation, many Network Operations… read more here.
Keywords: traffic; vision based; pipeline; based pipeline ... See more keywords
Automatic deep learning-based pipeline for Mediterranean fish segmentation
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Marine Science"
DOI: 10.3389/fmars.2025.1525524
Abstract: Climate change and human activities are altering the Mediterranean marine biodiversity. Monitoring these alterations over time is crucial for assessing the health of coastal environments and preserving local species. However, this monitoring process is resource-intensive,… read more here.
Keywords: deep learning; based pipeline; automatic deep; pipeline ... See more keywords
Accurate and Strict Identification of Probiotic Species Based on Coverage of Whole-Metagenome Shotgun Sequencing Data
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2019.01683
Abstract: Identifying the microbes present in probiotic products is an important issue in product quality control and public health. The most common methods used to identify genera containing species that produce lactic acid are matrix-assisted laser… read more here.
Keywords: based pipeline; shotgun sequencing; coverage; coverage based ... See more keywords
AI-Based Pipeline for Classifying Pediatric Medulloblastoma Using Histopathological and Textural Images
Sign Up to like & getrecommendations! Published in 2022 at "Life"
DOI: 10.3390/life12020232
Abstract: Pediatric medulloblastomas (MBs) are the most common type of malignant brain tumors in children. They are among the most aggressive types of tumors due to their potential for metastasis. Although this disease was initially considered… read more here.
Keywords: textural images; based pipeline; deep learning; histopathological images ... See more keywords
A Python-Based Pipeline for Preprocessing LC–MS Data for Untargeted Metabolomics Workflows
Sign Up to like & getrecommendations! Published in 2020 at "Metabolites"
DOI: 10.3390/metabo10100416
Abstract: Preprocessing data in a reproducible and robust way is one of the current challenges in untargeted metabolomics workflows. Data curation in liquid chromatography–mass spectrometry (LC–MS) involves the removal of biologically non-relevant features (retention time, m/z… read more here.
Keywords: pipeline preprocessing; metabolomics workflows; based pipeline; preprocessing data ... See more keywords