Results 31 to 40 of about 636 (117)

Denoising and Destriping Hyperspectral Images Using Double Graph Laplacian Regularizers

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
This article proposes a novel hyperspectral image (HSI) denoising and destriping method based on graph signal processing that fully exploits the HSI properties.
Fang Yang, Xin Chen, Zhi Zhang, Li Chai
doaj   +1 more source

Leak detection in water distribution networks based on graph signal processing of pressure data

Journal of Hydroinformatics, 2023
Leakages in water distribution networks (WDNs) affect the hydraulic state of the entire or a large part of the network. Statistical correlation computed among pressure sensors monitoring network nodes aids the detection and localization of such leaks ...
Daniel Bezerra Barros, Rui Gabriel Souza, Gustavo Meirelles, Bruno Brentan   +3 more
doaj   +1 more source

Graph signal processing based pilot pattern design and channel estimation for OFDM system

物联网学报, 2022
Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed ...
Bin HE, Guobing LI, Yuan CHEN, Guomei ZHANG   +3 more
doaj   +2 more sources

Kernelized multiview signed graph learning for single-cell RNA sequencing data

BMC Bioinformatics, 2023
Background Characterizing the topology of gene regulatory networks (GRNs) is a fundamental problem in systems biology. The advent of single cell technologies has made it possible to construct GRNs at finer resolutions than bulk and microarray datasets ...
Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente   +3 more
doaj   +1 more source

Body Motion Segmentation via Multilayer Graph Processing for Wearable Sensor Signals

IEEE Open Journal of Signal Processing
Human body motion segmentation plays a major role in many applications, ranging from computer vision to robotics. Among a variety of algorithms, graph-based approaches have demonstrated exciting potential in motion analysis owing to their power to ...
Qinwen Deng, Songyang Zhang, Zhi Ding
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Unraveling ovarian histology: The key morphological aspects that spur the development of the Fossa ovarii in equine

The Anatomical Record, EarlyView.
Abstract The equine ovary exhibits unique structural and developmental features that distinguish it from those of other domestic species, including the presence of an ovulation fossa and an inversion of cortical and medullary layers. This study aimed to investigate the morphostructural development of the equine fetal ovary, with particular emphasis on ...
Laura Ver Goltz, Silvio Pires Gomes, Bruno Cesar Schimming, Fabio Cesar Magioli Abdala, Maria Angélica Miglino, Tais Harumi de Castro Sasahara   +5 more
wiley   +1 more source

Doppler Shift Estimation Method for Frequency Diverse Array Radar Based on Graph Signal Processing

Remote Sensing
In this paper, a novel Doppler shift estimation method for frequency diverse array (FDA) radar based on graph signal processing (GSP) theory is proposed and investigated. First, a well-designed graph signal model for a monostatic linear FDA is formulated.
Ningbo Xie, Haijun Wang, Kefei Liao, Shan Ouyang, Hanbo Chen, Qinlin Li   +5 more
doaj   +1 more source

Metrnβ drives sepsis immunosuppression via macrophage reprogramming: A novel prognostic biomarker and therapeutic target

Interdisciplinary Medicine, EarlyView.
Metrnβ serves as a novel prognostic biomarker for sepsis and that targeted blockade of the Metrnβ‐c‐Kit axis represents a promising therapeutic strategy for sepsis. Abstract Sepsis is a heterogeneous syndrome critically driven by immunosuppression, yet lacking personalized prognostic markers and therapeutic targets. Here, we provide evidence to support
Xiao Li, Ai Chen, Chen Zhang, Meihong Da, Yonghui Liu, Zhi He, Chenyan Yuan, Shuo Ma, Yuming Yao, Dawen Chen, Meiling Zhou, Zhixin Song, Wenjing Lu, Chun‐Kwok Wong, Guoqiu Wu, Xun Gao   +15 more
wiley   +1 more source