Zobrazeno 1 - 10
of 3 877
pro vyhledávání: '"Approximate computing"'
Publikováno v:
Circuit World, 2022, Vol. 50, Issue 2/3, pp. 257-266.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CW-09-2020-0219
Publikováno v:
Circuit World, 2021, Vol. 50, Issue 2/3, pp. 240-246.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CW-09-2020-0220
An efficient Imprecise 4:2 Compressor Using Gate Diffusion Input Supplemented with Dynamic Threshold
Publikováno v:
مهندسی مخابرات جنوب, Vol 13, Iss 50, Pp 1-10 (2024)
Approximate computing is a new design concept that causes a trade-off between circuitry performance and accuracy. The approximate circuits are more useful in error-resilient applications, like image processing. This paper introduces a new imprecise 4
Externí odkaz:
https://doaj.org/article/ce562e3c57954c02bd70a09e2f030132
Publikováno v:
IEEE Access, Vol 12, Pp 146022-146088 (2024)
The unprecedented progress in computational technologies led to a substantial proliferation of artificial intelligence applications, notably in the era of big data and IoT devices. In the face of exponential data growth and complex computations, conv
Externí odkaz:
https://doaj.org/article/d3ec286b8175477abd585bff541b0e0e
Publikováno v:
IEEE Access, Vol 12, Pp 136054-136072 (2024)
Approximate computing is a technique that sacrifices the accuracy of the result for an advantage in terms of power, area, and speed. It is useful for error-tolerant applications such as image and video processing. Many approximate arithmetic circuits
Externí odkaz:
https://doaj.org/article/79d1759872934f0ab03d81c12412b0ea
Autor:
Hoang Nhut Huynh, Quoc Tuan Nguyen Diep, Anh Tu Tran, Congo Tak Shing Ching, Trung Nghia Tran
Publikováno v:
IEEE Access, Vol 12, Pp 128246-128254 (2024)
In Electrical Impedance Tomography, the ill-posed nature of the inverse problem and the interaction between the electric current and objects cause poor spatial resolution and blurring in the reconstructed images. This study proposes a numerical metho
Externí odkaz:
https://doaj.org/article/9712cb10b219424a808ff3603abdaa56
Publikováno v:
IEEE Access, Vol 12, Pp 92181-92197 (2024)
Deep neural networks (DNNs) are a type of artificial intelligence models that are inspired by the structure and function of the human brain, designed to process and learn from large amounts of data, making them particularly well-suited for tasks such
Externí odkaz:
https://doaj.org/article/0b90e5819cbb42f1b72a187a06a06d79
Publikováno v:
IEEE Access, Vol 12, Pp 72813-72827 (2024)
Image dehazing is a crucial task in the early stages of real-time image processing pipelines used in applications such as surveillance and advance driver assistance systems. Dehazing algorithms mitigate the spatially selective degradation of image de
Externí odkaz:
https://doaj.org/article/79cd0e0717594b518a3823970ca5cf91
Publikováno v:
IEEE Access, Vol 12, Pp 69475-69487 (2024)
Approximate computing techniques, such as precision tuning, are widely recognized as key enablers for the next generation of computing systems, where computation quality metrics play an important role. In precision tuning, a trade-off between the acc
Externí odkaz:
https://doaj.org/article/900ce31f7b8c45edbbd1991010e2fc20