Results 131 to 140 of about 111,958 (254)

Reliability‐Aware Framework for Fault‐Tolerant Multi‐Sensor Fusion Using Neuromorphic Hardware‐Native Learning

Advanced Computing, Volume 1, Issue 1, December 2026.
Reliability of training inputs is essential for hardware‐native neuromorphic learning, as faulty data in sensor fusion generates false triggers due to wrong conductance updates. This work presents a reliability‐aware framework ensuring only trustworthy sensor inputs participate in training, preventing false associations and improving robust decision ...
Tauseef Ejaz, Kapil Bhardwaj, Sayani Majumdar   +2 more
wiley   +1 more source

Memristor‐Based Neuromorphic Computing for Intelligent Sensing and Edge Applications

Advanced Computing, Volume 1, Issue 1, December 2026.
Memristor‐based neuromorphic computing provides a promising foundation for energy‐efficient edge intelligence by integrating in‐memory computing, brain‐inspired neural networks, and in‐sensor processing. Memristive devices can emulate neurons and synapses, enabling compact crossbar architectures with reduced data movement, low power consumption, and ...
Hanrui Li, Nazek El‐Atab
wiley   +1 more source

Research Progress of MRI Gradient Waveform Generator

Chinese Journal of Magnetic Resonance
The accurate encoding of the spatial position of imaging voxels is crucial for the spatial localization of magnetic resonance imaging (MRI). To guarantee spatial encoding accuracy, it is essential to obtain high-performance gradient magnetic fields ...
LIU Ying, LIN Ling, YUAN Binhua , ZHANG Haowei   +3 more
doaj   +1 more source

Predicting the Risk of Proteinuria Based on Blood Plasma Fourier‐Transform Infrared Spectroscopy and Machine Learning Algorithms From Pregnant Women and Newborns

Analytical Science Advances, Volume 7, Issue 2, December 2026.
ABSTRACT Proteinuria, defined by an abnormally elevated concentration of proteins in the urine, serves as a critical biomarker for the early detection and diagnosis of preeclampsia. Elevated proteinuria levels adversely affect both maternal and foetal health, increasing the risk of preterm birth and low birth weight.
Camila Lopes Ferreira, Sara Maria Santos Dias da Silva, Luma Martins Aleixo de Oliveira, Vitórya Carvalho Pádua de Magalhães, Simone Lima Silva, Sheila Cavalca Cortelli, Rodrigo Augusto Silva, Jaqueline Maria Brandão Rizzato, Marcelo Saito Nogueira, Luís Felipe Das Chagas e Silva de Carvalho   +9 more
wiley   +1 more source

FPGA-based optical distortion correction for imaging systems

, 2013
A novel algorithm for correcting optical spatial distortion in imaging systems is presented, together with the architectures implemented for FPGA-based hardware.
Nigel Allinson (17152816), L. Qiang (17249047)   +1 more
core   +2 more sources

Reconfigurable Computing in Neural Network‐Enhanced Finite Element Analysis in Structural Dynamics

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT In the present study, artificial neural networks (ANNs) trigger a better physically plausible initial guess in the Newton–Raphson scheme of an implicit material integration scheme of rate‐dependent viscoplastic dynamic response of plate structures in an in‐house finite element (FE) solver.
Vasileios Polydoras, Saurabh Balkrishna Tandale, Marcus Stoffel   +2 more
wiley   +1 more source

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya   +5 more
wiley   +1 more source

RHINO: reconfigurable hardware interface for computation and radio [PDF]

, 2011
Field-programmable gate arrays, or FPGAs, provide an attractive computing platform for software-defined radio applications. Their reconfigurable nature allows many digital signal processing (DSP) algorithms to be highly parallelised within the FPGA ...
Scott, Simon
core  

Electrochemical Electron Transfer Heterogeneity on Polycrystalline Titanium

Advanced Energy and Sustainability Research, Volume 7, Issue 11, November 2026.
Correlative SECCM, SEM, and EBSD measurements show that passive films formed during ambient re‐passivation dominate local electrochemical behavior on titanium. Surface orientation has little influence on E1/2, whereas HF etching substantially shifts and broadens the electrochemical response. The electrochemical behavior of polycrystalline titanium (Ti)
Mahin Maleki, Anju Singh, Ehsan Farabi, Haopeng Shen, Minkyung Kang   +4 more
wiley   +1 more source

Scalable Large Field‐of‐view 3D Photoacoustic Ultrasound Imaging With Digital Multiplexing for Human Extremities

Laser &Photonics Reviews, Volume 20, Issue 21, 6 November 2026.
A digitally multiplexed, large‐aperture photoacoustic and ultrasound imaging architecture is presented to overcome the fundamental limited‐view artifact inherent in conventional arrays. By significantly broadening the structural detection coverage, this scalable platform enables high‐fidelity 3D visualization of human extremities within a single ...
Sinyoung Park, Minsik Sung, Hyunhee Kim, Kijong Lee, Joongho Ahn, Eun‐Yeong Park, Sungsik Park, Hyung Ham Kim, Chulhong Kim   +8 more
wiley   +1 more source