Results 131 to 140 of about 248,320 (248)

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability. [PDF]

PLoS One
Islam MFU, Hossain S, Alam MGR, Mansoor N, Chakrabarty A.   +4 more
europepmc   +1 more source

Low-Cost Ka-Band Satellite Receiver Data Preprocessing for Tropospheric Propagation Studies. [PDF]

Sensors (Basel), 2022
Pastoriza-Santos V, Machado F, Nandi D, Pérez-Fontán F.   +3 more
europepmc   +1 more source

Lignin Mimicking Protein Methylation Augments the Efficacy of FOLFOX Chemotherapy by Anchoring Thymidylate Synthase

Advanced Materials, EarlyView.
Lignin‐mimicking protein methylation can enhance the efficacy and mitigate the toxicity of the classic FOLFOX chemotherapy regimen. ABSTRACT FOLFOX has served as the standard chemotherapy regimen for advanced stages, specifically in the treatment of pancreatic, colorectal, and bladder cancers.
Shiyao Song, Yan‐Lai Tang, Xiaoting Liu, Jiayi Zhang, Chong Wu, Tang Li, Junhong Ye, Dianmin Xia, Yong Mei, Jingxuan Ma, Libin Huang, Xuequn Luo, Liheng Chen, Yanlin Qin, Weiling He   +14 more
wiley   +1 more source

A review on spectral data preprocessing techniques for machine learning and quantitative analysis. [PDF]

iScience
Yan C.
europepmc   +1 more source

automRm: An R Package for Fully Automatic LC-QQQ-MS Data Preprocessing Powered by Machine Learning. [PDF]

Anal Chem, 2022
Eilertz D, Mitterer M, Buescher JM.
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Optimized Sensor Data Preprocessing Using Parameter-Transfer Learning for Wind Turbine Power Curve Modeling. [PDF]

Sensors (Basel)
Martín-Calzada P, Martín Sánchez P, Rodríguez-Sánchez FJ, Santos-Pérez C, Ballesteros J.   +4 more
europepmc   +1 more source

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management. [PDF]

Sensors (Basel), 2021
Cofre-Martel S, Lopez Droguett E, Modarres M.   +2 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source