Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
Water Meter Replacement Recommendation for Municipal Water Distribution Networks using Ensemble Outlier Detection Methods

F. Kaveh-Yazdy; S. Zarifzadeh

Volume 9, Issue 4 , November 2021, , Pages 425-438

https://doi.org/10.22044/jadm.2021.10672.2202

Abstract
  Due to their structure and usage condition, water meters face degradation, breaking, freezing, and leakage problems. There are various studies intended to determine the appropriate time to replace degraded ones. Earlier studies have used several features, such as user meteorological parameters, usage ...  Read More

H.6.5.10. Remote sensing
Nonparametric Spectral-Spatial Anomaly Detection

M. Imani

Volume 8, Issue 1 , January 2020, , Pages 95-103

https://doi.org/10.22044/jadm.2019.6629.1781

Abstract
  Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector ...  Read More

B.3. Communication/Networking and Information Technology
Behavior-Based Online Anomaly Detection for a Nationwide Short Message Service

Z. Shaeiri; J. Kazemitabar; Sh. Bijani; M. Talebi

Volume 7, Issue 2 , April 2019, , Pages 239-247

https://doi.org/10.22044/jadm.2019.6924.1812

Abstract
  As fraudsters understand the time window and act fast, real-time fraud management systems becomes necessary in Telecommunication Industry. In this work, by analyzing traces collected from a nationwide cellular network over a period of a month, an online behavior-based anomaly detection system is provided. ...  Read More

Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images

Mohsen Zare-Baghbidi; Saeid Homayouni; Kamal Jamshidi; A. R. Naghsh-Nilchi

Volume 3, Issue 1 , March 2015, , Pages 11-20

https://doi.org/10.5829/idosi.JAIDM.2015.03.01.02

Abstract
  Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algorithms ...  Read More