Results 131 to 140 of about 7,478 (267)

Intelligent fault diagnosis based on multi-source information fusion and attention-enhanced networks. [PDF]

Sci Rep
Tong C, Chen L, Zhang J, Zhao Z.
europepmc   +1 more source

Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission. [PDF]

Sensors (Basel), 2022
Ahmed HOA, Yu Y, Wang Q, Darwish M, Nandi AK.   +4 more
europepmc   +1 more source

Multiscale Spatial Fusion Feature‐Driven Characterization of Gastric Cancer Invasive Margins: A Multicenter Cohort Study for Preoperative Accurate Differentiation Between T4a and T4b Subtypes

Advanced Science, EarlyView.
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng, Xiaomiao Chai, Peng Jin, Xin Xin, Yingjie Li, Chun Yang, Jia Wei, Zishuo Yan, Jingyu Zhang, Qianning Zhao, Yingchen Han, Ning Zhang, Fuze Li, Bo Qiao, Huan Wang, Huachuan Zheng, Yan Li, Xin Zhang, Yan Zhao, Wenjun Mao, Jing Zhang   +20 more
wiley   +1 more source

Marine diesel engine reliable intelligent fault diagnosis method based on the generalized multi-source information fusion. [PDF]

iScience
Xie Z, Mo C, Jia B.
europepmc   +1 more source

An Intelligent Fault Diagnosis Based on Adversarial Generating Module and Semi-supervised Convolutional Neural Network. [PDF]

Comput Intell Neurosci, 2022
Ye Q, Liu C.
europepmc   +1 more source

From Chatbots to Co‐Scientists: The Impact of Knowledge‐Generating AI (AI 4.0) on Healthcare and Research

Advanced Science, EarlyView.
This perspective contrasts the historical, linear progression of early AI with the dynamic, iterative nature of AI 4.0; and it describes the real‐world medical applications and the necessary evolution of laboratory infrastructure brought about by AI 4.0.
Weida Liu, Gary Peltz
wiley   +1 more source

A Knowledge-Guide Data-Driven Model with Selective Wavelet Kernel Fusion Neural Network for Gearbox Intelligent Fault Diagnosis. [PDF]

Sensors (Basel)
Zhuang N, Ren Z, Yang D, Tian X, Wang Y.
europepmc   +1 more source

Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples. [PDF]

Sensors (Basel), 2022
Chen Z, Wang Y, Wu J, Deng C, Jiang W.
europepmc   +1 more source

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

Advanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu, Xiao Xu, Fengming Hu, Yuanzhe Liang, Zidong Yin, Biao Qi, Ruolin Liu, Ziyi Dai, Jianyi Luo, Bingpu Zhou   +9 more
wiley   +1 more source

Intelligent Fault Diagnosis of Hydraulic Pumps Based on Multi-Source Signal Fusion and Dual-Attention Convolutional Neural Networks. [PDF]

Sensors (Basel)
Jiang W, Gu X, Zhao Y, Tang E, Jiang X, Song Z, Zeng L.   +6 more
europepmc   +1 more source