Results 121 to 130 of about 1,925,096 (328)

Giga‐Voxel Multiscale Composite Architecture Mirrored Through a Data‐to‐Model Closed‐Loop Digital Twin

Advanced Materials, EarlyView.
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu, Seungsoo Jang, Young Seok Cho, Seunggyu Park, Jun Yeon Hwang, Soon Hyung Hong, Thomas James Marrow, Kang Taek Lee   +7 more
wiley   +1 more source

Deep Pyramid Convolutional Neural Networks for Text Categorization [PDF]

, 2017
Rie Johnson, Tong Zhang
openalex   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Frequency-Domain and Spatial-Domain MLMVN-Based Convolutional Neural Networks

Algorithms
This paper presents a detailed analysis of a convolutional neural network based on multi-valued neurons (CNNMVN) and a fully connected multilayer neural network based on multi-valued neurons (MLMVN), employed here as a convolutional neural network in the
Igor Aizenberg, Alexander Vasko
doaj   +1 more source

Organic Electrochemical Transistors for Neuromorphic Devices and Applications

Advanced Materials, EarlyView.
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang, Jiajun Song, Hong Liu, Junxin Chen, Feng Yan   +4 more
wiley   +1 more source

Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks [PDF]

, 2017
Huei‐Fang Yang, Kevin Lin, Chu‐Song Chen   +2 more
openalex   +1 more source

Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images

, 2021
Mingjie Gao, Jeffrey A. Fessler, Heang‐Ping Chan   +2 more
openalex   +2 more sources

Spike time displacement-based error backpropagation in convolutional spiking neural networks [PDF]

, 2023
Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier   +3 more
openalex   +1 more source

Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post‐Moore Era

Advanced Materials, EarlyView.
In this Review, the state of art of ferroelectric hybrid systems—combining ferroelectrics, 2D semiconductors, and molecular switches is presented—as next‐generation platforms for high‐density, multifunctional electronics. By discussing 2D FeFET applications, nanoscale material downscaling, M3D integration, and emerging ferroelectrics, it highlights ...
Haixin Qiu, Xiaoshi Qian, Dahong Qian, Paolo Samorì   +3 more
wiley   +1 more source

A Two-Stage Transfer Regression Convolutional Neural Network for Bearing Remaining Useful Life Prediction [PDF]

, 2022
Xianling Li, Kai Zhang, Weijun Li, Yi Feng, Ruonan Liu   +4 more
openalex   +1 more source