Results 171 to 180 of about 259,715 (355)

Wavelet packet denoising of magnetic resonance images: Importance of Rician noise at low SNR

, 1999
John C. Wood, Kevin M. Johnson
openalex   +1 more source

Photobiomodulation Strengthens Muscles via Its Dual Functions in Gut Microbiota

Advanced Science, EarlyView.
Non‐invasive photobiomodulation therapy (PBMT) enhances muscle endurance by rewiring the gut‐muscle axis. PBMT preserves gut epithelial integrity and enriches beneficial anaerobes, driving metabolites such as butyrate, spermidine, and L‐carnitine that supercharge mitochondrial energy in skeletal muscles.
Prabhat Upadhyay, Asmita Banstola, Brijesh Bhayana, Mei X. Wu   +3 more
wiley   +1 more source

Local adaptive transform based image denoising with varying window size [PDF]

, 2002
Hakan Öktem, Vladimir Katkovnik, K. Egiazarin, Jaakko Astola   +3 more
openalex   +1 more source

Accurate Generation of Conformational Ensembles for Intrinsically Disordered Proteins with IDPFold

Advanced Science, EarlyView.
In brief: IDPFold predicts the conformational ensembles of intrinsically disordered proteins (IDPs) from their amino acid sequences. The atomic structures generated by IDPFold offer crucial insights into the intricate relationship between IDP structures and their diverse biological functions.2 Abstract Intrinsically disordered proteins (IDPs) play ...
Junjie Zhu, Zhengxin Li, Zhuoqi Zheng, Bo Zhang, Bozitao Zhong, Jie Bai, Xiaokun Hong, Taifeng Wang, Ting Wei, Jianyi Yang, Hai‐Feng Chen   +10 more
wiley   +1 more source

Extracting and composing robust features with denoising autoencoders

International Conference on Machine Learning, 2008
Pascal Vincent, H. Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol   +3 more
semanticscholar   +1 more source

Chronic PET‐Microplastic Exposure: Disruption of Gut–Liver Homeostasis and Risk of Hepatic Steatosis

Advanced Science, EarlyView.
Chronic exposure to environmentally relevant PET microplastics disrupts gut–liver homeostasis, leading to hepatic steatosis, early fibrosis, and altered gut microbiota. These effects signal metabolic imbalance and gut–liver axis impairment, emphasizing chronic microplastic ingestion as an emerging environmental health risk linked to non‐communicable ...
Surye Park, Min‐Ji Kim, Jae‐Ho Shin, Eunsoo Kim, Myeongjoo Son, Seungjun Lee   +5 more
wiley   +1 more source

Motion Capture in Mixed-Reality Applications: A Deep Denoising Approach

Virtual Worlds
Motion capture is a fundamental technique in the development of video games and in film production to animate a virtual character based on the movements of an actor, creating more realistic animations in a short amount of time.
André Correia Gonçalves, Rui Jesus, Pedro Mendes Jorge   +2 more
doaj   +1 more source

<title>New denoising technique for ultrasound images using morphological properties of speckle combined with tissue classifying parameters</title> [PDF]

, 2002
G Stippel, Wilfried Philips, Ignace Lemahieu   +2 more
openalex   +1 more source

EasyAmplicon 2: Expanding PacBio and Nanopore Long Amplicon Sequencing Analysis Pipeline for Microbiome

Advanced Science, EarlyView.
EasyAmplicon 2 is an updated, user‐friendly, and community‐supported pipeline designed for full‐length amplicon data from long‐read sequencing technologies such as PacBio and Nanopore. It supports multiple platforms (Illumina, PacBio, Nanopore, etc.), integrates tools like DADA2 and Emu, and offers a complete workflow from raw data processing to high ...
Hao Luo, Defeng Bai, Zhihao Zhu, Salsabeel Yousuf, Haifei Yang, Jiani Xun, Meiyin Zeng, Yao Wang, Yunyun Gao, Kai Peng, Shanshan Xu, Yuanping Zhou, Tianyuan Zhang, Chuang Ma, Huiyu Hou, Xiulin Wan, Yang Zhou, Baolei Jia, Shi Huang, Renyou Gan, Tao Wen, Tong Chen, Xia Chen, Xiaofang Li, Yong‐Xin Liu   +24 more
wiley   +1 more source

Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach

Forecasting
Denoising is an integral part of the data pre-processing pipeline that often works in conjunction with model development for enhancing the quality of data, improving model accuracy, preventing overfitting, and contributing to the overall robustness of ...
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul, Amrit Kumar Paul   +3 more
doaj   +1 more source