Results 111 to 120 of about 26,456 (261)

Application of Variational Mode Decomposition and Whale Optimization Algorithm to Laser Ultrasonic Signal Denoising. [PDF]

Sensors (Basel), 2022
Mao X, Yang Q, Wang X, Li J.
europepmc   +1 more source

Wrinkle‐Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring

Advanced Science, EarlyView.
This article introduces a wrinkle‐adaptive, kirigami‐structured wearable EEG patch that personalizes electrode‐skin conformity to stabilize the interface and enable wireless, high‐quality sleep monitoring. ABSTRACT Wearable electroencephalography (EEG) devices offer a promising solution for continuous brain monitoring outside laboratory settings ...
Jungmin Kim, Ka Ram Kim, Byeongjun Lee, Cheoljeong Park, Seong J. Cho, Woon‐Hong Yeo   +5 more
wiley   +1 more source

Application of translation wavelet transform with new threshold function in pulse wave signal denoising. [PDF]

Technol Health Care, 2023
Zhang J, Geng X, Zhang Y, Yao F, Wang Y, Zhang H.   +5 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Elevator Car Vibration Signal Denoising Method Based on CEEMD and Bilateral Filtering. [PDF]

Sensors (Basel), 2022
Niu D, Wang J.
europepmc   +1 more source

Signal denoising through modular topography

, 2021
To navigate in a dynamic and noisy environment, the brain must create reliable and meaningful representations from sensory inputs that are often ambiguous, incomplete or corrupt. From these noisy inputs, cortical circuits extract the relevant features to forge a ground truth against which internally generated signals from inferential processes can be ...
Zajzon, Barna, Dahmen, David, Morrison, Abigail, Duarte, Renato   +3 more
openaire   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Multiscale dilated denoising convolution with channel attention mechanism for micro-seismic signal denoising

Journal of Petroleum Exploration and Production Technology
Denoising micro-seismic signals is paramount for ensuring reliable data for localizing mining-related seismic events and analyzing the state of rock masses during mining operations.
Jianxian Cai, Zhijun Duan, Li Wang, Juan Meng, Zhenjing Yao   +4 more
doaj   +1 more source

A secondary EWMA-based dictionary learning algorithm for polynomial phase signal denoising. [PDF]

Sci Rep, 2022
Ou G, Zou S, Liu S, Tang J.
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source