Results 131 to 140 of about 92,088 (287)

Radiation-induced acoustic signal denoising using a supervised deep learning framework for imaging and therapy monitoring. [PDF]

Phys Med Biol, 2023
Jiang Z, Wang S, Xu Y, Sun L, Gonzalez G, Chen Y, Wu QJ, Xiang L, Ren L.   +8 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Underwater Acoustic Signal LOFAR Spectrogram Denoising Based on Enhanced Simulation

Applied Sciences
In complex marine environments, extracting target features from acoustic signal is very difficult, making the targets hard to be recognized. Therefore, it is necessary to perform denoising method on the acoustic signal to highlight the target features ...
Tianxiang He, Sheng Feng, Jie Yang, Kun Yu, Junlin Zhou, Duanbing Chen   +5 more
doaj   +1 more source

Investigation of microseismic signal denoising using an improved wavelet adaptive thresholding method. [PDF]

Sci Rep, 2022
Zhang Z, Ye Y, Luo B, Chen G, Wu M.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A Novel ECG Signal Denoising Algorithm Based on Sparrow Search Algorithm for Optimal Variational Modal Decomposition. [PDF]

Entropy (Basel), 2023
Mao J, Li Z, Li S, Li J.
europepmc   +1 more source

NIR‐II Imaging‐Guided Photothermal Activation of a TRPV4‐Targeted Nanoplatform Delivering Cycloastragenol to Promote Microglia Reprogramming and α‐Synuclein Clearance in Parkinson's Disease

Advanced Science, EarlyView.
ABSTRACT Current therapies for Parkinson's disease (PD) fail to concurrently address α‐synuclein (α‐syn) aggregation and microglia‐mediated neuroinflammation. Herein, we engineer a near‐infrared‐II (NIR‐II) phototheranostic nanoplatform, CAG/FD1080@MM‐aTRPV4, for synergistic regulation of microglial function and real‐time monitoring of PD pathology. We
Hsuan Lo, Linjuan Feng, Shiying Li, Lik Hang Hugo Tse, Xuehan Wang, Xingyang Zhao, Shaoheng Ma, Xin Li, Yanjuan Gu, Wing‐Tak Wong   +9 more
wiley   +1 more source

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

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +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