Results 121 to 130 of about 73,468 (309)
Exploring Convolutional Neural Networks [PDF]
In this thesis we have looked into the complexity of neural networks. Especially convolutional neural networks (CNNs), which are useful for image recognition, are looked into. In order to better understand the process in the neural networks, in the first
Hoogenberg, Ruben (author)
core
Deep Learning-Based Spectrum Sensing for Cognitive Radio Applications
In order for cognitive radios to identify and take advantage of unused frequency bands, spectrum sensing is essential. Conventional techniques for spectrum sensing rely on extracting features from received signals at specific locations.
Sara E. Abdelbaset +4 more
doaj +1 more source
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
Analysing Generalisation Error Bounds For Convolutional Neural Networks [PDF]
Analysing Generalisation Error Bounds for Convolutional Neural Networks Abstract: Convolutional neural networks (CNNs) have achieved breakthrough performance in a wide range of applications including image classification, semantic segmentation, and ...
Lin, Shan
core
A Portable and Dual‐Button Microneedle Device Enables Intelligent Multimodal Laser Sensing
A portable and dual‐button microneedle device enables rapid interstitial fluid sampling. Coupled with multimodal laser sensing and AI‐assisted data processing, the platform enables simultaneous molecular and elemental analysis for minimally invasive and multiplexed health assessment toward point‐of‐care diagnostics.
Yuanchao Liu +12 more
wiley +1 more source
Training convolutional neural networks with the Forward–Forward Algorithm
Recent successes in image analysis with deep neural networks are achieved almost exclusively with Convolutional Neural Networks (CNNs), typically trained using the backpropagation (BP) algorithm.
Riccardo Scodellaro +3 more
doaj +1 more source
State-of-the-Art of Breast Cancer Diagnosis in Medical Images via Convolutional Neural Networks (CNNs). [PDF]
Harrison P, Hasan R, Park K.
europepmc +1 more source
This work develops a breathable potentiometric self‐powered pressure sensor with good wearability, using a non‐woven fabric substrate and hydrogel electrolyte. The sensor is integrated into a five‐channel smart glove to acquire reliable hand motion signals, which are processed by a CNN for identity verification and smart vehicle control in human ...
Qilong Zhang +10 more
wiley +1 more source
We investigate the geometry‐governed optoelectronic anisotropy arising from dielectric confinement in quasi‐1D γ‐GaS nanoribbons with intrinsically isotropic atomic structures. Dielectric mismatch between the nanoribbon and its surroundings leads to a general polarization‐dependent photoresponse during near‐field scattering.
Jiawei Jing +16 more
wiley +1 more source
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation [PDF]
The advancement of deep convolutional neural networks (DCNNs) has driven significant improvement in the accuracy of recognition systems for many computer vision tasks.
Gu, Jiaxin +6 more
core +1 more source

