Results 61 to 70 of about 2,137 (155)

AI‐enhanced Centiloid quantification of amyloid PET images

Alzheimer's &Dementia, Volume 22, Issue 2, February 2026.
Abstract INTRODUCTION The Centiloid scale is the standard for amyloid (Aβ) PET quantification in research and clinical settings. However, variability between tracers and scanners remains a challenge. METHODS This study introduces DeepSUVR, a deep learning method to correct Centiloid quantification, by penalizing implausible longitudinal trajectories ...
Pierrick Bourgeat, Jurgen Fripp, Leo Lebrat, Ying Xia, Azadeh Feizpour, Timothy Cox, Georgios Zisis, Ashley Gillman, Manu S. Goyal, Duygu Tosun, Tammie LS. Benzinger, Pamela LaMontagne, Michael Breakspear, Michelle K. Lupton, Cathy Short, Robert Adam, Joanne S. Robertson, Reisa Sperling, Sid E. O'Bryant, Sterling C. Johnson, Clifford R. Jack Jr, Christopher G. Schwarz, Frederik Barkhof, Gill Farrar, Ariane Bollack, Lyduine E. Collij, Susan Landau, Robert Koeppe, for the Alzheimer's Disease Neuroimaging Initiative, OASIS3, the A4/LEARN Study Team, the AMYPAD consortium, The Health and Aging Brain Study (HABS‐HD) Study Team, Mayo Clinic Study of Aging, WRAP, ADNI‐DOD, PISA, ADNeT, the AIBL research group, John C. Morris, Michael W. Weiner, Victor L. Villemagne, Colin L. Masters, Christopher C. Rowe, Vincent Dore   +44 more
wiley   +1 more source

Sophisticated Audio Source Separation: A Statistical Exploration of Clarity and Precision With FastICA

Engineering Reports, Volume 8, Issue 1, January 2026.
This workflow presents a complete pipeline for audio data processing, beginning with format conversion, channel adjustments, and cleaning, followed by enhancement and visualization techniques. It further applies signal separation using FastICA, postprocessing, and evaluation metrics (SDR, SIR, SAR) to improve audio analysis and support future research ...
Md. Razu Ahmed, Jannatul Mauya, Md. Shamim Reza, Ruhul Amin   +3 more
wiley   +1 more source

Single‐Channel Multi‐Component Linear Frequency Modulation Signal Blind Separation Based on Multi‐Feature Enhanced Swin‐Transformer

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To address the underdetermined blind source separation problem of single‐channel multi‐component linear frequency modulation (LFM) signals, the separation task is reformulated as a semantic segmentation problem on time‐frequency spectrograms. A multi‐feature enhanced Swin‐Transformer network, integrating an optimised convolutional block attention ...
Weifeng Sun, Xinyue Wang, Chao Zhang, Peng Zhang, Qi Liu   +4 more
wiley   +1 more source

Artificial Intelligence Applications in Smart Cities: Integrating Communication, Energy Management, Cybersecurity and Internet of Things

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik, Hafiz Abdul Muqeet, Rizwan Akram, Hafiz Muhammad Obaid, Atiq ur Rehman, Amine Bermak   +5 more
wiley   +1 more source

Regularized nonnegative matrix factorization: Geometrical interpretation and application to spectral unmixing

International Journal of Applied Mathematics and Computer Science, 2014
Nonnegative Matrix Factorization (NMF) is an important tool in data spectral analysis. However, when a mixing matrix or sources are not sufficiently sparse, NMF of an observation matrix is not unique.
Zdunek Rafał
doaj   +1 more source

Underwater acoustic target signal enhancement algorithm optimized by feature preservation and noise update [PDF]

Zhihui kongzhi yu fangzhen
The enhancement effect of the classic Nonnegative Matrix Factorization (NMF) applied to underwater acoustic target signal is unsatisfactory for the feature overlap of underwater acoustic target signal and the variability of ocean underwater acoustic ...
XIAO Haixia, CUI Shuangyue, LI Dawei, SUN Mingming, LIU Xianzhong, YANG Zhenxin
doaj   +1 more source

Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering

IEEE Access, 2019
As a typical variation of nonnegative matrix factorization (NMF), symmetric NMF (SNMF) is capable of exploiting information of the cluster embedded in the matrix of similarity.
Wei Yan, Bob Zhang, Zuyuan Yang, Shengli Xie   +3 more
doaj   +1 more source

Nonnegative Matrix Factorization of time frequency representation of vibration signal for local damage detection – comparison of algorithms

E3S Web of Conferences, 2018
Local damage detection in rotating machine elements is very important problem widely researched in the literature. One of the most common approaches is the vibration signal analysis.
Wodecki Jacek
doaj   +1 more source

Novel methods for spatial risks analysis and quantitative source apportionment of heavy metals pollution in agricultural soils

Journal of Agriculture and Food Research
Precision pollution control relies on accurate spatial interpolation and quantitative source apportionment. This study addresses key methodological gaps by developing two novel tools: a non-negative constrained biharmonic spline interpolation algorithm ...
Qinqin Yu, Jinying Li, Jiahao Li, Tong Liu, Fangyuan Chen, Yao Liu, Haoming Wang, Shaoyang Tao, Min Zhou, Haobo Hou   +9 more
doaj   +1 more source

A Hybrid Algorithm for Estimating Origin-Destination Flows

IEEE Access, 2018
With the development of intelligent transportation systems, the estimation of traffic flow in urban areas has attracted a great attention of researchers.
Xianghua Li, Jurgen Kurths, Chao Gao, Junwei Zhang, Zhen Wang, Zili Zhang   +5 more
doaj   +1 more source