Results 231 to 240 of about 10,610,136 (340)

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo   +5 more
wiley   +1 more source

A Generalized Subclass of Multivalent Functions Related to Sigmoid Function

open access: yesJournal of Ultra Scientist of Physical Sciences Section A, 2018
Gurcharanjit Singh, Gagandeep Singh
openaire   +1 more source

Geometry‐Guided Transformer for Monocular 3D Object Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
This work proposes a geometry‐guided transformer‐based framework for monocular 3D object detection. By incorporating spatial features and geometry guidance through the advanced transformer structure, the method addresses the limitations of existing methods and improves detection accuracy and convergence speed, achieving SOTA detection performance with ...
Man Zhang   +4 more
wiley   +1 more source

Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98% accuracy in pattern recognition with low power consumption (0.321 nJ/image) and high robustness, paving the way for efficient, bioinspired neuromorphic computing ...
Zhixing Wen   +9 more
wiley   +1 more source

Management and risk factors for colonic volvulus: retrospective national cohort study. [PDF]

open access: yesBJS Open
Rasilainen S   +15 more
europepmc   +1 more source

Selective Update for Hardware‐Friendly On‐Chip Training in Distributed Analog In‐Memory Computing Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang   +3 more
wiley   +1 more source

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