ADIC: Anomaly detection integrated circuit in 65-nm CMOS utilizing approximate computing

B Kar, PK Gopalakrishnan, SK Bose… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we present a low-power (LP) anomaly detection integrated circuit (ADIC)
based on a one-class classifier (OCC) neural network. The ADIC achieves LP operation …
被引用次数：9 相关文章
[PDF] pdpu.ac.in

[PDF][PDF] ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing

B Kar, PK Gopalakrishnan, SK Bose, M Roy, A Basu - iqac.pdpu.ac.in
In this article, we present a low-power (LP) anomaly detection integrated circuit (ADIC)
based on a one-class classifier (OCC) neural network. The ADIC achieves LP operation …

ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing

B Kar, PK Gopalakrishnan, SK Bose, M Roy… - arXiv e …, 2020 - ui.adsabs.harvard.edu
In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on
a one-class classifier (OCC) neural network. The ADIC achieves low-power operation …

ADIC: anomaly detection integrated circuit in 65-nm CMOS utilizing approximate computing

B Kar, PK Gopalakrishnan, SK Bose, M Roy… - IEEE Transactions on …, 2020 - dr.ntu.edu.sg
In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on
a one-class classifier (OCC) neural network. The ADIC achieves low-power operation …
[PDF] academia.edu

[PDF][PDF] ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing

B Kar, PK Gopalakrishnan, SK Bose, M Roy… - arXiv preprint arXiv …, 2020 - academia.edu
In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on
a one-class classifier (OCC) neural network. The ADIC achieves low-power operation …

ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing

B Kar, PK Gopalakrishnan, SK Bose, M Roy… - IEEE Transactions on …, 2020 - computer.org
In this article, we present a low-power (LP) anomaly detection integrated circuit (ADIC)
based on a one-class classifier (OCC) neural network. The ADIC achieves LP operation …

ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing

B Kar, PK Gopalakrishnan, SK Bose, M Roy… - arXiv preprint arXiv …, 2020 - arxiv.org
In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on
a one-class classifier (OCC) neural network. The ADIC achieves low-power operation …

ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing

B Kar, PK Gopalakrishnan, SK Bose… - … Transactions on Very …, 2020 - scholars.cityu.edu.hk
In this article, we present a low-power (LP) anomaly detection integrated circuit (ADIC)
based on a one-class classifier (OCC) neural network. The ADIC achieves LP operation …
[PDF] researchgate.net

[PDF][PDF] ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing

B Kar, PK Gopalakrishnan, SK Bose… - arXiv preprint arXiv …, 2020 - researchgate.net
In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on
a one-class classifier (OCC) neural network. The ADIC achieves low-power operation …

ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing

B Kar, PK Gopalakrishnan, SK Bose, M Roy… - IEEE Transactions on …, 2020 - dl.acm.org
In this article, we present a low-power (LP) anomaly detection integrated circuit (ADIC)
based on a one-class classifier (OCC) neural network. The ADIC achieves LP operation …