13 papers · ranked by Valyu relevance
Daniel Eilertz, Michael Mitterer, Joerg M. Buescher
Data Preprocessing Powered by Machine Learning Authors: ['Daniel Eilertz' 'Michael Mitterer' 'Joerg M. Buescher'] Preprocessing of liquid chromatography-mass spectrometry (LC-MS) raw data facilitates downstream statistical and biological data analyses. In the case of targeted LC-MS data, consistent recognition of…
Lea Waller, Susanne Erk, Elena Pozzi, Yara J. Toenders + 7 more
The reproducibility crisis in neuroimaging has led to an increased demand for standardized data processing workflows. Within the ENIGMA consortium, we developed HALFpipe (Harmonized Analysis of Functional MRI pipeline), an open-source, containerized, user-friendly tool that facilitates reproducible analysis of…
Aydin Demircioğlu
Background Radiomics is a noninvasive method using machine learning to support personalised medicine. Preprocessing filters such as wavelet and Laplacian-of-Gaussian filters are commonly used being thought to increase predictive performance. However, the use of preprocessing filters increases the number of features by…
Jean-Michel Roger, Alexandre Mallet, Federico Marini, Jaan Laane
Even though NIR spectroscopy is based on the Beer-Lambert law, which clearly relates the concentration of the absorbing elements with the absorbance, the measured spectra are subject to spurious signals, such as additive and multiplicative effects. The use of NIR spectra, therefore, requires a preprocessing step. This…
Zongli Xu, Liang Niu, Jack A. Taylor
Background Illumina DNA methylation arrays are high-throughput platforms for cost-effective genome-wide profiling of individual CpGs. Experimental and technical factors introduce appreciable measurement variation, some of which can be mitigated by careful “preprocessing” of raw data. Methods Here we describe the ENmix…
Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie + 5 more
'Mohan Wang' 'Lei Shi' 'Shaozhong Song'] Introduction Maize kernel variety identification is crucial for reducing storage losses and ensuring food security. Traditional single models show limitations in processing large-scale multimodal data. Methods This study constructed an interpretable ensemble learning model for…
Alix Lamouroux, Julie Coloigner, Pierre Maurel, Nicolas Farrugia + 1 more
'Giulia Lioi'] Title: Abstract Functional magnetic resonance imaging (fMRI) is essential for studying brain function and connectivity. Resting-state fMRI, which captures spontaneous brain activity without task requirements, is particularly suited for individuals with post-stroke impairments. However, the inherent noise…
Yi Deng, Chengyue Xing, Ling Cai
At present, data mining technology is continuously researched in science and application. With the rapid development of remote sensing satellite industry, especially the launch of remote sensing satellites with high-resolution sensors, the amount of information obtained from remote sensing images has increased…
Milan Klöwer, Miha Razinger, Juan J. Dominguez, Peter D. Düben + 1 more
'Tim N. Palmer'] Hundreds of petabytes are produced annually at weather and climate forecast centers worldwide. Compression is essential to reduce storage and to facilitate data sharing. Current techniques do not distinguish the real from the false information in data, leaving the level of meaningful precision…
Han Yang, Fuheng Qu, Yong Yang, Xiaofeng Li + 4 more
'Lu Wang' 'Guillermo Villanueva'] In the field of rice processing and cultivation, it is crucial to adopt efficient, rapid and user-friendly techniques to detect the flavor values of various rice varieties. The conventional methods for flavor value assessment mainly rely on chemical analysis and technical evaluation…
Yongping Jiang, Bowen Tai, Yufan Yang, Xinyue Zhang + 2 more
Aflatoxin B1 (AFB1) contamination in maize poses serious risks to food and feed safety; however, conventional laboratory-based assays are often constrained by time and throughput for large-scale screening. This study proposes a hyperspectral imaging (HSI) workflow for rapid, non-destructive prediction of AFB1. A total…
Xinyu Yuan, Yihan Fang, Yuhan Diao, Beibei Wu + 5 more
The paper presents a substantial review of the use of non-thermal technologies in the food industry. In contrast to thermal processing, non-thermal techniques have been very effective in improving and maintaining the nutritional composition of food items. As an alternative to thermal processing, various ambient…
B. Aarthy, B. Srutha Keerthi
Digital image processing has a wide range of uses, including robotics and automated inspection of industrial parts. Other uses include remote sensing using satellites and other spacecraft, image transmission and storage for business applications, medical processing, and Acoustic image processing. The process of…