Results 81 to 90 of about 2,383 (165)

Biomedical application of terahertz imaging technology: a narrative review. [PDF]

Quant Imaging Med Surg, 2023
Cong M, Li W, Liu Y, Bi J, Wang X, Yang X, Zhang Z, Zhang X, Zhao YN, Zhao R, Qiu J.   +10 more
europepmc   +1 more source

Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS) [PDF]

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 2023
Precipitation might change rapidly and vary spatially, therefore, knowledge on spatio-temporal variation of precipitation plays a pivotal role in water resources management, hydrogeological hazard and risk assessment, and city resilience enhancement. However, precipitation monitoring data are collected through a limited number of precipitation stations
Peiping Li, Yu Wang
exaly   +6 more sources

Automatic Target Recognition of SAR Images Using Collaborative Representation.

Comput Intell Neurosci, 2022
Hu J.
europepmc   +1 more source

Compressive Sensing Approach to Harmonics Detection in the Ship Electrical Network. [PDF]

Sensors (Basel), 2020
Palczynska B, Masnicki R, Mindykowski J.
europepmc   +1 more source

Data-adaptive pattern-coupled Bayesian compressive sensing for sparse sound field reconstruction. [PDF]

Sci Rep
Xiao Y, Liu Y, Chen Z, Zhang H, Ni P.
europepmc   +1 more source

Adaptive Block-Based Compressed Video Sensing Based on Saliency Detection and Side Information. [PDF]

Entropy (Basel), 2021
Wang W, Wang J, Chen J.
europepmc   +1 more source

Compressive sensing techniques based on secure data aggregation in WSNs. [PDF]

Sci Rep
Madkour ME, Soliman SE, Dessouky MI, Abd El-Samie FE, Hammad ME, Elsafrawey AS.   +5 more
europepmc   +1 more source

Inline 3D Volumetric Measurement of Moisture Content in Rice Using Regression-Based ML of RF Tomographic Imaging. [PDF]

Sensors (Basel), 2022
Almaleeh AA, Zakaria A, Kamarudin LM, Rahiman MHF, Ndzi DL, Ismail I.   +5 more
europepmc   +1 more source

SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks. [PDF]

Sensors (Basel)
Gao X, Yao X, Chen B, Zhang H.
europepmc   +1 more source

Accelerated sparsity based reconstruction of compressively sensed multichannel EEG signals. [PDF]

PLoS One, 2020
Tayyib M, Amir M, Javed U, Akram MW, Yousufi M, Qureshi IM, Abdullah S, Ullah H.   +7 more
europepmc   +1 more source