Lithium‐ion battery degradation arises from complex, localized processes during operation, limiting long‐term performance. In situ electrochemical liquid cell TEM provides unique access to these mechanisms. This review summarizes degradation phenomena revealed by liquid cell TEM, traces the evolution of the three main cell designs, compares their ...
Walid Dachraoui, Rolf Erni
wiley +1 more source
Evaluating vision transformers and convolutional neural networks in the context of dental image processing: a systematic review. [PDF]
Felek T, Tercanlı H, Gök RŞ.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Automated identification of spotted-fever tick vectors using convolutional neural networks. [PDF]
Gomes IRC +11 more
europepmc +1 more source
Advanced COVID-19 detection using cough signals with space reconstruction and 3D deep convolutional neural networks. [PDF]
Altae AA, Ehsani Rad A, Mohebbi K.
europepmc +1 more source
Image steganalysis using LSTM fused convolutional neural networks for secure telemedicine. [PDF]
Shehab D, Alhaddad M.
europepmc +1 more source
Correction: Prediction of the ectasia screening index from raw Casia2 volume data for keratoconus identification by using convolutional neural networks. [PDF]
Mirsalehi M +3 more
europepmc +1 more source
Convolutional neural networks for automatic tuber segmentation and quantification of tuber burden in tuberous sclerosis complex. [PDF]
Sánchez Fernández I +19 more
europepmc +1 more source

