Results 31 to 40 of about 110,493 (310)
FPGA Implementation of Generalized Hebbian Algorithm for Texture Classification
This paper presents a novel hardware architecture for principal component analysis. The architecture is based on the Generalized Hebbian Algorithm (GHA) because of its simplicity and effectiveness.
Wei-Hao Lee +2 more
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Power line detection in millimetre‐wave radar images applying convolutional neural networks
High‐voltage power lines and their supporting towers create hazardous low‐altitude flight conditions for helicopters. Herein, a novel power line detection and classification is proposed for millimetre‐wave (MMW) radars applying Hough transform (HT) and ...
Wei Xiong, Jingsheng Luo, Chaopeng Yu
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Neural network model for recognition and classification of types of interactions in road traffic
The article presents neural network for recognition of driving strategies based on interactions between drivers in road traffic. It analyzes the architecture of the model implemented as a self-organizing map (SOM), consisting of a group of neural ...
Sergei Efremov, Tatiana Kochetova
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Residual and Attentional Architectures for Vector-Symbols
6 pages, 7 figures, 1 ...
Wilkie Olin-Ammentorp, Maxim Bazhenov
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« L’architecture globale », une lecture dynamique des territoires dans la globalisation
Since the end of the 20th century, architectural production, between sign and function, is a privileged resource for the public as well as private local actors looking for an image to promote their territories.
Cécile Renard
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The development of CRISPR-Cas-based engineering technologies has revolutionized the microbial biotechnology field. Over the years, the Class II Type II CRISPR-Cas9 system has become the gold standard for genome editing in many bacterial hosts.
Eveline-Marie Lammens +6 more
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In-memory Vector Symbolic Architectures
The field of Artificial Intelligence (AI) has achieved enormous progress in the past decade thanks primarily to deep neural network architectures and specialized hardware that support training the models within a reasonable time. However, since then a trend has emerged where, for solving increasingly difficult cognitive tasks, the model complexity in ...
openaire +2 more sources
Capacity Analysis of Vector Symbolic Architectures
Hyperdimensional computing (HDC) is a biologically-inspired framework which represents symbols with high-dimensional vectors, and uses vector operations to manipulate them. The ensemble of a particular vector space and a prescribed set of vector operations (including one addition-like for "bundling" and one outer-product-like for "binding") form a ...
Kenneth L. Clarkson +2 more
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Organotypic slice cultures recapitulate many features of an intact organ, including cellular architecture, microenvironment, and polarity, making them an ideal tool for the ex vivo study of viruses and viral vectors.
María C. Rosales Gerpe +8 more
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SEVA-Cpf1, a CRISPR-Cas12a vector for genome editing in cyanobacteria
Background Cyanobacteria are photosynthetic autotrophs that have tremendous potential for fundamental research and industrial applications due to their high metabolic plasticity and ability to grow using CO2 and sunlight. CRISPR technology using Cas9 and
Sara Baldanta +2 more
doaj +1 more source

