21 papers · ranked by Valyu relevance
Shawn T. Schwartz, Haopei Yang, Alice M. Xue, Mingjian He
Pupillometry provides a non-invasive window into the mind and brain, particularly as a psychophysiological readout of autonomic and cognitive processes like arousal, attention, stress, and emotional states. Pupillometry research lacks a robust, standardized framework for data preprocessing, whereas in functional…
Mark M. McAvoy, Lei Liu, Ruiwen Zhou, Benjamin A. Philip
Numerous methods exist to analyze functional MRI (fMRI) data, but no software currently exists to integrate the commonly-used FSL statistical analysis software with alternative preprocessing methods from the Human Connectome Project. Here we developed the Connectome Operations For FSL ExEcution (COFFEE) pipeline to…
Lydia R Lucchesi, Petra Kuhnert, Jenny Davis, Lexing Xie
Data preprocessing is a crucial stage in the data analysis pipeline, with both technical and social aspects to consider. Yet, the attention it receives is often lacking in research practice and dissemination. We present the Smallset Timeline, a visualisation to help reflect on and communicate data preprocessing…
Garrett Mathesen, Kyle Mumm, Carter Taylor, Jian Cao
In laser powder bed fusion (L-PBF) processes, the rapid evolution of gas and fluid interactions complicates our ability to properly monitor or control the process, with unstable keyholes leading to porosity and spatter formation. High-speed operando x-ray imaging of the keyhole has been used to better understand the…
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…
Gökmen Altay, Jose Zapardiel-Gonzalo, Bjoern Peters
Gene network inference (GNI) methods have the potential to reveal functional relationships between different genes and their products. Most GNI algorithms have been developed for microarray gene expression datasets and their application to RNA-seq data is relatively recent. As the characteristics of RNA-seq data are…
J. Carvajal, F. E. Bauer, I. Reyes, F. Förster + 5 more
detection in the ZTF alert stream Authors: ['J. Carvajal' 'F. E. Bauer' 'I. Reyes' 'F. Förster' 'A. Muñoz-Arancibia' 'M. Catelan' 'P. Sanchéz-Sáez' 'C. Ricci' 'A. Bayo'] - 2 Millennium Institute of Astrophysics (MAS), Nuncio Monsenor Sótero Sanz 100, Providencia, Santiago, Chile - 3 Space Science Institute, 4750 Walnut…
Yanfan Zhu, Marilyn M. Lionts, Ezekiel J. Haugen, Alec B. Walter + 10 more
Raman spectroscopy offers a uniquely rich window into molecular structure and composition, making it a powerful tool across fields ranging from materials science to biology. However, the reproducibility of Raman data analysis remains a fundamental bottleneck. In practice, transforming raw spectra into meaningful…
Adarsh Arun, Jana Weber, Zhen Guo, Alexei Lapkin
As the chemical sector looks to decarbonize, one promising solution is the utilization of bio-feedstocks and biowaste to produce functional molecules. There is, therefore, great interest in understanding how and where to integrate these resources within chemical supply chains. To assist such efforts, screening…
Authors not listed
High-quality data preprocessing is essential for untargeted metabolomics experiments, where increasing dataset scale and complexity demand adaptable, robust, and reproducible software solutions. Modern preprocessing tools must evolve to integrate seamlessly with downstream analysis platforms, ensuring efficient and…
R. Austin Benn, Ting Xu, Rogier B. Mars, Magdalena Boch + 11 more
Cortical surface reconstruction has changed how we study brain morphology and geometry. However, extending these methods to non-human species has been limited by the lack of standardized pipelines, anatomical templates, and variability in imaging protocols. To address these challenges, we present Precon_all, an…
Mohsen Ebrahimi
Application of electronic railway systems as well as the implication of Automatic Train Control (ATC) System has increased the safety of rail transportation. However, one of the most important causes of accidents on the railway is rail damage and breakage. In this paper, we have proposed a method that the rail region…
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…
Authors not listed
In the data-driven discovery of high-performance thermoelectric (TE) materials, the lack of high-quality data remains a key bottleneck. Addressing this issue, we introduce the Systematically Verified Thermoelectric (sysTEm) dataset. Leveraging the physical relationships between transport properties, we curated and…
K. Briegel, F. Riccius, J. Filser, A. Bourgund + 5 more
'M. Panighel' 'C. Dri' 'Barbara A. J. Lechner' 'F. Esch'] In a continued quest to monitor subsecond surface dynamics on the atomic scale and to improve imaging resolution, a FAST module to accelerate existing scanning probe microscopy setups was previously presented. Hereby, the speedup is enabled by external…
Guzzetta, Gianluca
In this paper, we present a comprehensive study and analysis of the Chan Vese algorithm for image segmentation, using a discretized scheme obtained from the empirical study of Chan-Vese model's functional energy and its partial differential equation based on its level set function. The proof to such result is shown…
Tarini Naravane, Ilias Tagkopoulos
The future of personalized health relies on knowledge of dietary composition. The current analytical methods are impractical to scale up, and the computational methods are inadequate. We propose machine learning models to predict the nutritional profiles of cooked foods given the raw food composition and cooking…
Authors not listed
We present TAPAS (Transient Absorption Processing and Analysis Software), an open-source, Python-based graphical platform that covers the entire transient absorption (TA) workflow, from raw data import and preprocessing to visualization, global and target fitting, and statistical evaluation. Users operate TAPAS through…
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…