Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang +6 more
wiley +1 more source
Damage Localization and Sensor Layout Optimization for In-Service Reinforced Concrete Columns Using Deep Learning and Acoustic Emission. [PDF]
Liu T +5 more
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Experimental Study on Acoustic Emission Characteristics of Modified Phosphogypsum at Different Loading Rates. [PDF]
Zhang B +5 more
europepmc +1 more source
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi +4 more
wiley +1 more source
Health Status Assessment of Passenger Ropeway Bearings Based on Multi-Parameter Acoustic Emission Analysis. [PDF]
Zhang J +5 more
europepmc +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Detecting deformation mechanisms of metals from acoustic emission signals through knowledge-driven unsupervised learning. [PDF]
Gou B +6 more
europepmc +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Study on the triaxial unloading failure characteristics and acoustic emission features of weakly cemented mudstone. [PDF]
Zou J +5 more
europepmc +1 more source

