Results 221 to 230 of about 67,461 (315)

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

SSEL: spike-based structural entropic learning for spiking graph neural networks. [PDF]

Front Neurosci
Yang S, Wu Y, Chen B.
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Hybrid Skeleton-Based Motion Templates for Cross-View and Appearance-Robust Gait Recognition. [PDF]

J Imaging
Nunes JF, Moreira PM, Tavares JMRS.
europepmc   +1 more source

Lead‐Free Bismuth Halide Perovskite Memristors: Low‐Voltage Switching and Physical Modeling of Resistive Hysteresis

Advanced Materials Technologies, EarlyView.
Lead‐free bismuth halide perovskite memristors exhibit stable low‐voltage resistive switching behavior. The conductance‐activated quasi‐linear memristor model quantitatively reproduces the experimental hysteresis, confirming ion migration‐driven filament dynamics.
So‐Yeon Kim, Gonzalo Rivera‐Sierra, Bitania Shiferaw Mengesha, Benjamin Iniguez, Juan Bisquert   +4 more
wiley   +1 more source

Spatially programmable origami networks enable high-density mechanical computing for autonomous robotics. [PDF]

Nat Commun
Hu X, Tan T, Chen Y, Yan Z.
europepmc   +1 more source

GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration

, 2014
Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John Stasko, Duen Horng Chau   +6 more
openalex   +2 more sources

Mechanical Fatigue in Liquid‐Metal Interconnects: Failure Mechanism Analysis and Validation of Improvement Strategies

Advanced Materials Technologies, EarlyView.
Multi‐million cycle reliability for liquid metal stretchable electronics is achieved through a continuous cycle of mechanical testing, failure mode and mechanism analysis and implementing subsequent mitigation strategies. ABSTRACT Stretchable electronics that combine mechanical compliance with reliable electrical performance are essential for ...
Lennert Purnal, Maximilian Krack, Parth Vinayakrao Sewlikar, Bart Ruttens, Tom Hauffman, Iris De Graeve, Wim Deferme, Michaël Daenen, Monika Rai   +8 more
wiley   +1 more source

Enhancing WSI image classification with graph convolutional neural networks and model uncertainty modeling. [PDF]

BMC Med Imaging
Liu C, Cheng Y, Li T, Hao Y, Zhang Q.
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source