25 papers · ranked by Valyu relevance
Oscar Esteban, Christopher J. Markiewicz, Ross W. Blair, Craig A. Moodie + 12 more
Preprocessing of functional MRI (fMRI) involves numerous steps to clean and standardize data before statistical analysis. Generally, researchers create ad hoc preprocessing workflows for each new dataset, building upon a large inventory of tools available for each step. The complexity of these workflows has snowballed…
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…
Canchen Li
—Data mining is about obtaining new knowledge from existing datasets. However, the data in the existing datasets can be scattered, noisy, and even incomplete. Although lots of effort is spent on developing or fine-tuning data mining models to make them more robust to the noise of the input data, their qualities still…
Vipul Mehra
This research work is a part of the Master of Science in Information Sciences and Technologies at the School of Information, B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, New York. I would like to express my gratitude to my committee chair Dr. Michael…
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…
M. Rajalakshmi
Mycotoxin contamination in certain agricultural systems have been a serious concern for human and animal health. Mycotoxins are toxic substances produced mostly as secondary metabolites by fungi that grow on seeds and feed in the field, or in storage. The food-borne Mycotoxins likely to be of greatest significance for…
Johannes Burdack, Fabian Horst, Sven Giesselbach, Ibrahim Hassan + 2 more
'Sabrina Daffner' 'Wolfgang I. Schöllhorn'] Human movements are characterized by highly non-linear and multi-dimensional interactions within the motor system. Therefore, the future of human movement analysis requires procedures that enhance the classification of movement patterns into relevant groups and support…
Martin A. Lindquist, Stephan Geuter, Tor D. Wager, Brian S. Caffo
The preprocessing pipelines typically used in both task and restingstate fMRI (rs-fMRI) analysis are modular in nature: They are composed of a number of separate filtering/regression steps, including removal of head motion covariates and band-pass filtering, performed sequentially and in a flexible order. In this paper…
Ovi Paul
—NumtaDB is by far the largest data-set collection for handwritten digits in Bengali. This is a diverse dataset containing more than 85000 images. But this diversity also makes this dataset very difficult to work with. The goal of this paper is to find the benchmark for pre-processed images which gives good accuracy on…
Jaap de Ruyter van Steveninck, Umut Güçlü, Richard van Wezel, Marcel van Gerven
Neural prosthetics may provide a promising solution to restore visual perception in some forms of blindness. The restored prosthetic percept is rudimentary compared to normal vision and can be optimized with a variety of image preprocessing techniques to maximize relevant information transfer. Extracting the most…
Nuzulha Khilwani Ibrahim, Emaliana Kasmuri, Mohamad Riduwan Md Nawawi, Sazilah Salam + 2 more
'Sazilah Salam' 'Mohd Adili Norasikin' 'Norazira A. Jalil'] Abstract— Most vehicle license plate recognition use neural network techniques to enhance its computing capability. The image of the vehicle license plate is captured and processed to produce a textual output for further processing. This paper reviews image…
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…
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…
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…
H. A. Abdulkareem, A. M. S. Tekanyi, Isiyaku Yau, Bashir Olaniyi Sadiq
'Bashir Olaniyi Sadiq'] ABSTRACT: This paper developed a brightness enhancement technique for video frame pixel intensity improvement. Frames extracted from the six sample video data used in this work were stored in the form of images in a buffer. Noise was added to the extracted image frames to vary the intensity of…
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…
Muhammad Aamir, Mahmoudreza Ovissipour, Shyam S. Sablani, Barbara Rasco
'Barbara Rasco'] A resurgence in interest examining thermal pasteurization technologies has been driven by demands for “cleaner” labeling and the need of organic and natural foods markets for suitable preventive measures to impede microbial growth and extend shelf life of minimally processed foods and ready-to-eat…
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…
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.…
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…
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.…