Results 91 to 100 of about 18,490 (262)
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Microstructural evolution of premium rail steel during flash butt welding (FBW), comparing physically simulated heat‐affected zones with actual weld regions. Thermal cycles induce phase transformations and microstructural heterogeneity that influence weld quality and mechanical performance. These findings provide insights into optimizing FBW parameters
Emmanoelle Cintra da Cunha Araújo +15 more
wiley +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
To address the prevalent issues in the classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) data fusion, such as insufficient dynamic adaptive interaction of cross-modal features, and difficulties in high-fidelity spatial ...
Xingyue Zhang +7 more
doaj +1 more source
Higher-resolution wavefront sensing based on sub-wavefront information extraction
The limited spatial sampling rates of conventional Shack–Hartmann wavefront sensors (SHWFSs) make them unable to sense higher-order wavefront distortion.
Hongli Guan +25 more
doaj +1 more source
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
Dual-Modal Fast Photoacoustic/Ultrasound Localization Imaging with Sparsity-Constrained Optimization
Dual-modal imaging, combining photoacoustic (PA) and ultrasound localization (UL) with microbubbles, holds substantial promise across biomedical fields such as oncology, neuroscience, nephrology, and immunology. The combination of PA and UL imaging faces
Shensheng Zhao +3 more
doaj +1 more source
Disentangling Bulk and Surface Contributions to Charge and Discharge Fading in High‐Voltage LiCoO2
High‐voltage operation of LiCoO2 accelerates capacity fading through bulk and surface degradation. By introducing a LiTaO3 coating to selectively suppress surface degradation, bulk and surface contributions to charge and discharge fading are decoupled.
Hyungjoon Moon +6 more
wiley +1 more source
This paper aims to design and evaluate a text-speech-image multimodal collaborative English translation system. Addressing the issues of coarse-grained modal semantic alignment and the difficulty in balancing inference efficiency and translation quality ...
Kai Lu, Yimin Jiang
doaj +1 more source
Power Oscillation Damping Controller Powered by Data-Assisted Dominant Modal Decomposition
This paper focuses on deriving power-system linear models directly from collected PMU data with the aim of feeding a wide-area damping controller (WADC) architecture.
Mario R. Arrieta Paternina +9 more
doaj +1 more source

