25 papers · ranked by Valyu relevance
Alhassan Mumuni, Fuseini Mumuni
—Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly from data. This approach has achieved impressive results and has contributed significantly to the progress of AI, particularly in the sphere of supervised deep learning. It has also simplified the design of machine learning…
Jiayuan Ding, Zhongyu Xing, Yixin Wang, Renming Liu + 9 more
Preprocessing is a critical step in single-cell data analysis, yet current practices remain largely a black-box, trial-and-error process driven by user intuition, legacy defaults, and ad hoc heuristics. The optimal combination of steps such as normalization, gene selection, and dimensionality reduction varies across…
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…
Jianxun Ren, Ning An, Cong Lin, Youjia Zhang + 13 more
Neuroimaging has entered the era of big data. However, the advancement of preprocessing pipelines falls behind the rapid expansion of data volume, causing significant computational challenges. Here, we present DeepPrep, a pipeline empowered by deep learning and workflow manager. Evaluated on over 55,000 scans, DeepPrep…
G. Kalpana, N. Deepa, D. Dhinakaran
The segmentation of breast cancer diagnosis and medical imaging contains issues such as noise, variation in contrast, and low resolutions which make it challenging to distinguish malignant sites. In this paper, we propose a new solution that integrates with AIPT (Advanced Image Preprocessing Techniques) and CASDN…
Nadine S. J. Jacobsen, Daniel Kristanto, Suong Welp, Yusuf Cosku Inceler + 1 more
Preprocessing is necessary to extract meaningful results from electroencephalography (EEG) data. With many possible preprocessing choices, their impact on outcomes is fundamental. While previous studies have explored the effects of preprocessing on stationary EEG data, this research delves into mobile EEG, where…
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…
Mojtaba A. Farahani, Matt McCormick, Robert Gianinny, Frank Hudacheck + 3 more
'Frank Hudacheck' 'Ramy Harik' 'Zhichao Liu' 'Thorsten Wuest'] Since the inception of Industry 4.0 in 2012, emerging technologies have enabled the acquisition of vast amounts of data from diverse sources such as machine tools, robust and affordable sensor systems with advanced information models, and other sources…
M.E. Hoeppli, M.A. Garenfeld, C.K. Mortensen, H. Nahman-Averbuch + 2 more
Preprocessing fMRI data requires striking a fine balance between conserving signals of interest and removing noise. Typical steps of preprocessing include motion correction, slice timing correction, spatial smoothing, and high-pass filtering. However, these standard steps do not remove many sources of noise. Thus…
Scott Huberty, James Desjardins, Tyler Collins, Mayada Elsabbagh + 1 more
EEG recordings are typically long and contain large amounts of data, making manual cleaning a time-consuming and error-prone task. Automated pre-processing pipelines can facilitate the efficient and objective extraction of artifacts, enabling standardized and reproducible analyses. However, automated pre-processing…
Amélie Gruel, Pierre Lewden, Adrien F. Vincent, Sylvain Saïghi
Neuromorphic vision made significant progress in recent years, thanks to the natural match between spiking neural networks and event data in terms of biological inspiration, energy savings, latency and memory use for dynamic visual data processing. However, optimising its energy requirements still remains a challenge…
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…
Ying Liu, Vinicius Stein Dani, Iris Beerepoot, Xixi Lu
Event logs are invaluable for conducting process mining projects, offering insights into process improvement and data-driven decision-making. However, data quality issues affect the correctness and trustworthiness of these insights, making preprocessing tasks a necessity. Despite the recognized importance, the…
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…
Elena Zaitseva, Vitaly Levashenko, Jan Rabcan, Miroslav Kvassay + 2 more
'Antonio Brunetti' 'Elena A. Jones'] The development of information technology has had a significant impact on various areas of human activity, including medicine. It has led to the emergence of the phenomenon of Industry 4.0, which, in turn, led to the development of the concept of Medicine 4.0. Medicine 4.0, or smart…
Andrzej Katunin, Marko Nagode, Simon Oman, Adam Cholewa + 2 more
'Krzysztof Dragan' 'Gui Yun Tian'] Hidden corrosion in aircraft structures, not detected on time, can have a significant influence on aircraft structural integrity and lead to catastrophic consequences. According to the widely accepted damage tolerance philosophy, non-destructive inspections are performed to assess…
Authors not listed
Kinetic modeling is essential for predicting changes in food quality during processing and storage. This study evaluates the application of physics-informed neural networks (PINN) for food kinetic modeling, integrating kinetic insights into neural network frameworks. Based on three case studies, namely seed drying…
Authors not listed
While Raman spectroscopy offers notable experimental advantages as a probe of complex mixtures, its application in practice often confronts samples that present an overwhelming fluorescence background. Here, we explore the efficacy of two particular Raman spectrometric strategies for quantitative analysis under…
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…
Alberto Gomez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint + 7 more
'Shujie Deng' 'Robert Wright' 'Emily Skelton' 'Jackie Matthew' 'Bernhard Kainz' 'Jo Hajnal' 'Julia Schnabel'] We present PRETUS - a Plugin-based Real Time UltraSound software platform for live ultrasound image analysis and operator support. The software is lightweight; functionality is brought in via independent…
Keisuke Ozawa
Statistically weighted principal component analysis (wPCA) is widely used to reduce the noise of scanning transmission electron microscopy-energy-dispersive X-ray (STEM-EDX) spectroscopy data. It is beneficial to retain the spatial resolution of observation in each step of the analysis, but the direct application of…
Monalisa Cavalcante, J. C. R. Araújo, José Holanda da Silva Júnior
Image processing has always been a topic of significant importance to society. Recently, this field has gained considerable prominence due to the development of intelligent systems. In this work, we present a new method of image processing that utilizes statistical analysis, specifically designed for applications in…
Julie M. Bugg, Christopher O. Nuño, Changrun Huang, Tobias Egner
Despite the intuition that attention can be willfully heightened on demand in response to warnings that alert people to impending distraction (e.g., “Pay attention!”), the empirical evidence for this notion from studies employing congruency pre-cues is surprisingly weak, posing a challenge to some theoretical accounts.…
Narjes Soltani Dehaghani, Mojtaba Zarei
5## MENTAL IMAGERY Pre-stimulus brain activities are sometimes linked to imagination. Multiple studies suggest that mental imagery operates similarly to weak perceptual stimuli, such as those with low contrast or luminance (Pearson, ). Although imagination is typically considered a voluntary process, it can also occur…
Shiwei Ni, Fei Chen, Guolong Chen, Yufeng Yang
Biological pattern formation ensures that tissues and organs develop in the correct place and orientation within the body. A great deal has been learned about cell and tissue staining techniques, and today’s microscopes can capture digital images. A light microscope is an essential tool in biology and medicine.…