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Chapter and Conference Paper
Develo** a Framework for Trustworthy AI-Supported Knowledge Management in the Governance of Risk and Change
This paper proposes a framework for develo** a trustworthy artificial intelligence (AI) supported knowledge management system (KMS) by integrating existing approaches to trustworthy AI, trust in data, and tr...
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Article
Textile fabric defect detection based on low-rank representation
In this paper, we propose a novel and robust fabric defect detection method based on the low-rank representation (LRR) technique. Due to the repeated texture structure we model a defects-free fabric image as a...
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Article
Ellipse fitting via low-rank generalized multidimensional scaling matrix recovery
This paper develops a novel ellipse fitting algorithm by recovering a low-rank generalized multidimensional scaling (GMDS) matrix. The main contributions of this paper are: i) Based on the derived Givens trans...
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Article
Accurate and Efficient Node Localization for Mobile Sensor Networks
In this paper, we propose a range-free cooperative localization algorithm for mobile sensor networks by combining hop-distance measurements with particle filtering. In the hop-distance measurement step, we des...
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Article
Mobility-Assisted Node Localization Based on TOA Measurements Without Time Synchronization in Wireless Sensor Networks
Wireless sensor networks (WSNs) have been proposed for a multitude of location-dependent applications. To stamp the collected data and facilitate communication protocols, it is necessary to identify the locati...
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Chapter and Conference Paper
Multi-line Fitting Using Two-Stage Iterative Adaptive Approach
A new multi-line fitting algorithm using two-stage iterative adaptive approach (IAA) is proposed in this paper. The key points and main contributions are: i) The proposed algorithm decouples the multi-line fit...
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Article
Open AccessTwo-Dimensional Frequencies Estimation Using Two-Stage Separated Virtual Steering Vector-Based Algorithm
In this paper, we develop a novel two-stage separated virtual steering vector- (SVSV-) based algorithm without association operation to estimate 2D frequencies. The key points of this algorithm are (i) in the ...
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Article
Joint frequency, 2-D DOA, and polarization estimation using parallel factor analysis
This paper proposes a new algorithm for joint frequency, two-dimensional (2-D) directions-of-arrival (DOA), and polarization estimation using parallel factor (PARAFAC) analysis model and cumulant. The proposed...
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Article
4-D parameter estimation of narrowband sources based on parallel factor analysis
A novel algorithm is presented in this paper to jointly estimate frequency, two-dimensional (2-D) direction-of-arrival (DOA), and range of near-field narrowband sources. The proposed method extends the paralle...
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Article
Open Access4D Near-Field Source Localization Using Cumulant
This paper proposes a new cumulant-based algorithm to jointly estimate four-dimensional (4D) source parameters of multiple near-field narrowband sources. Firstly, this approach proposes a new cross-array, and ...
