Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ali Azarpeyvand"'
Publikováno v:
IEEE Access, Vol 11, Pp 60471-60489 (2023)
Crime prediction in video-surveillance systems is required to prevent incident and protect assets. In this sense, our article proposes first artificial intelligence approach for Robbery Behavior Potential (RBP) prediction and detection in an indoor c
Externí odkaz:
https://doaj.org/article/581f60c4747c444d90e84eaeecd524ab
Autor:
Sakineh Seydi, Ali Azarpeyvand
Publikováno v:
Journal of Iranian Association of Electrical and Electronics Engineers. 18:31-36
Publikováno v:
Microelectronics Journal. 127:105521
Publikováno v:
2021 29th Iranian Conference on Electrical Engineering (ICEE).
In recent years, the use of digital images in data transmission networks and digital devices has increased greatly. Therefore, the security of images in transmission or storage has become very important due to security attacks. For this reason, crypt
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26:2684-2695
In this paper, we demonstrate the feasibility of building a memristor-based approximate accelerator to be used in cooperation with general-purpose $\times 86$ processors. First, an integrated full system simulator is developed for simultaneous simula
Publikováno v:
Current Genomics
System biology problems such as whole-genome network construction from large-scale gene expression data are sophisticated and time-consuming. Therefore, using sequential algorithms are not feasible to obtain a solution in an acceptable amount of time
Publikováno v:
CSICC
Human detection in images is a crucial task due to its usage in different areas including person detection and identification, abnormal surveillance and crowd counting. Low-resolution of image sequences taken by stationary outdoor surveillance camera
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 19(3)
Previous efforts in gene network reconstruction have mainly focused on data-driven modeling, with little attention paid to knowledge-based approaches. Leveraging prior knowledge, however, is a promising paradigm that has been gaining momentum in netw
Publikováno v:
Analog Integrated Circuits and Signal Processing. 96:577-588
This paper presents a mixed-signal implementation of complex-valued FIR filter bank using a memristor-based approximate multiplier. First, a memristor-based vector–matrix multiplier was developed for complex number multiplications and then it was e
Publikováno v:
Analog Integrated Circuits and Signal Processing. 93:363-373
The parallel structure of matrix multipliers makes them fascinating candidates to benefit from memristors' high density architecture. This paper first explains a memristor-based analog vector---matrix multiplier suitable for approximate computing. Ac