Results 81 to 90 of about 1,532,152 (301)

Noise-Enhanced Associative Memories [PDF]

, 2013
Recent advances in associative memory design through structured pattern sets and graph-based inference algorithms allow reliable learning and recall of exponential numbers of patterns.
Amir Hesam Salavati, Karbasi, Amin, Amin Karbasi, Salavati, Amir Hesam, Shokrollahi, Amin, Varshney, Lav R., Amin Shokrollahi, Lav R. Varshney   +7 more
core   +2 more sources

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Data‐driven target localization using adaptive radar processing and convolutional neural networks

IET Radar, Sonar & Navigation
Leveraging the advanced functionalities of modern radio frequency (RF) modeling and simulation tools, specifically designed for adaptive radar processing applications, this paper presents a data‐driven approach to improve accuracy in radar target ...
Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh   +5 more
doaj   +1 more source

astorfi/3D-convolutional-speaker-recognition: 3D Convolutional Neural Networks for Speaker Verification

, 2017
<p>This project is aimed to provide the implementation for Speaker Verification (SR) by using 3D convolutional neural networks following the SR protocol.</p ...
Amirsina Torfi
core   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Lite‐weight semantic segmentation with AG self‐attention

IET Computer Vision
Due to the large computational and GPUs memory cost of semantic segmentation, some works focus on designing a lite weight model to achieve a good trade‐off between computational cost and accuracy. A common method is to combined CNN and vision transformer.
Bing Liu, Yansheng Gao, Hai Li, Zhaohao Zhong, Hongwei Zhao   +4 more
doaj   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Functorial Models for Petri Nets [PDF]

, 2001
We show that although the algebraic semantics of place/transition Petri nets under the collective token philosophy can be fully explained in terms of strictly symmetric monoidal categories, the analogous construction under the individual token philosophy
Meseguer, J., Bruni, R., Montanari, U., Sassone, V.   +3 more
core   +2 more sources

Algebraic Models for Contextual Nets

, 2000
We extend the algebraic approach of Meseguer and Montanari from ordinary place/transition Petri nets to contextual nets, covering both the collective and the individual token philosophy uniformly along the two interpretations of net ...
SASSONE V., Roberto Bruni, BRUNI, ROBERTO, Bruni, R., Vladimiro Sassone, Sassone, V.   +5 more
core   +2 more sources

Differential convolutional neural network

, 2019
PubMedID: 31125914Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing similar artificial
Avci M., Sarıgül M., Ozyildirim B.M.
core   +1 more source