Results 111 to 120 of about 672 (170)

Artificial Intelligence and Machine Learning in Optical Fiber Sensors: A Review. [PDF]

Sensors (Basel)
Cao L, Abedin S, Cui G, Wang X.
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Attenuation of surface-related multiples for single-channel seismic survey in offshore engineering. [PDF]

Sci Rep
Shen H, Che H, Chen F, Wang B, Liu S, Zhang C, Wang C, Zhao J.   +7 more
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An optimization-driven hierarchical deep learning approach using the Gray Langurs algorithm for data-driven seismic activity prediction. [PDF]

Sci Rep
Shabrawy M, El-Kenawy EM, Abdel-Hamid NB, Abdelsalam MM.   +3 more
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DEP-CEEMDAN-MPE-INHT a time-frequency analysis method for noisy blasting seismic waves with adaptive noise suppression and endpoint processing. [PDF]

Sci Rep
Sun M, Wu J, Wang YF, Lu YN, Yu FD.
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Local earthquake response on the submarine communication cable in the northern South China Sea. [PDF]

Sci Rep
Li H, Shen X, Li Z, Chen S.
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A two-stage robust non-intrusive load monitoring method against unknown waveform distortions. [PDF]

Sci Rep
Guo W, Luo Q, Yu T, Hu X, Wu Y, Liang M, Pan Z.   +6 more
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Geo-Sense: a portable distributed acoustic sensing (DAS) system for high-resolution seafloor monitoring. [PDF]

Sci Rep
Micallef A, Sherman A, McGill P, Schnittger A, Englert R, Klimov D, Touryan-Schaefer B, Henthorn R, Hill D, Jacobs S, Paull CK, Gwiazda R, Verma A, Goyal A.   +13 more
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Progressive plug and play full waveform inversion with multitask learning. [PDF]

Sci Rep
Zhang B, Wang L.
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Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging. [PDF]

Proc IEEE Inst Electr Electron Eng
Lin Y, Feng S, Theiler J, Chen Y, Villa U, Rao J, Greenhall J, Pantea C, Anastasio MA, Wohlberg B.   +9 more
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Generative Adversarial Network for Desert Seismic Data Denoising

IEEE Transactions on Geoscience and Remote Sensing, 2021
Seismic exploration is a kind of exploration method for oil and gas resources. However, the disturbance of numerous random noise will decrease the quality and signal-to-noise ratio (SNR) of real seismic records, which brings difficulties to the following works of processing and interpretation.
Yue Li, Xintong Dong, Hongzhou Wang
exaly   +3 more sources