Results 121 to 130 of about 959,923 (296)
Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu +6 more
wiley +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Offline signatures serve as a fundamental basis for financial instrument verification and legal document authentication. Since signature authenticity directly impacts property security and the establishment of legal facts, automated verification systems ...
Liyan Huang, Bohan Jiang, Zhichen Xie
doaj +1 more source
A Compact Multijoint Finger Motion Sensing Module for Flexible Exoskeleton Applications
Addressing the motion estimation gap in underactuated wearable electronics, a highly integrated sensor alongside a customized readout circuit is proposed. Featuring a screen‐printed layout and optimized horseshoe geometry, this design establishes an optimal feedback mechanism for flexible hand exoskeletons while eliminating wiring clutter.
Huawei Zheng +3 more
wiley +1 more source
This work presents the first hardware realisation of the Syndrome-Decodingin-the-Head (SDitH) signature scheme, which is a candidate in the NIST PQC process for standardising post-quantum secure digital signature schemes.
Sanjay Deshpande +3 more
doaj +1 more source
This review highlights recent advances in automated iPSC culture systems integrating robotics, advanced imaging, artificial intelligence, and process control. These technologies improve reproducibility, scalability, and quality in cell expansion, differentiation, and real‐time monitoring, while emerging AI‐enabled and closed‐loop approaches offer new ...
Hyoryong Lee +3 more
wiley +1 more source
A Hybrid Features for Signature Recognition Using Neural Network
In automatic personal recognition systems, biometric features is used as recognition measure based on biological traits such as face, iris, fingerprint, etc…or gait, signature which is considered behavioral characteristics.
Shaymaa R. Saleh +2 more
doaj
Automatic left ventricular segmentation in echocardiography is critical for cardiac function assessment but remains challenging due to limited crossdomain feature interaction. This paper proposes SFMFNet, a Spatial‐Frequency Multi‐Scale Fusion Network that integrates multiscale convolution, wavelet transform, and Fourier transform.
Dang Li +3 more
wiley +1 more source
3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback
A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu +2 more
wiley +1 more source
A Deep Feature Reliability-Based Framework for Offline Handwritten Signature Verification
Offline handwritten signature verification is widely employed as a biometric authentication technique in financial, legal, and administrative applications. However, accurately distinguishing genuine signatures from skilled forgeries remains a challenging
Dr. Annapurna H
core +1 more source

