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Algorithms, Volume 17, Issue 6

June 2024 - 51 articles

Cover Story: The extraction of information from object data hinges on the representational approach employed. This study introduces a novel representation of 3D objects as interconnected series of dependent random variables, paving the way for a non-gradient, non-iterative methodology. This approach facilitates the mapping of two 3D objects by aligning their extrema. It amplifies extrema by aggregating dependent random values and provides an in-depth elucidation of the underlying statistical principles. The method is efficient, yielding a finite set of potential matches; this ensures that any existing mapping is contained within this set. This approach shows promise for object analysis and identification within additive manufacturing and for protein structure alignment. View this paper
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Articles (51)

  • Article
  • Open Access
5 Citations
5,767 Views
21 Pages

20 June 2024

Within the framework of sustainable supply chain management and logistics, this work tackles the complex challenge of optimizing inventory levels across varied storage facilities. It introduces a comprehensive many-objective optimization model design...

  • Article
  • Open Access
2 Citations
2,200 Views
15 Pages

Sensor Fusion Architecture for Fault Diagnosis with a Predefined-Time Observer

  • Ofelia Begovich,
  • Adrián Lizárraga and
  • Antonio Ramírez-Treviño

20 June 2024

This study focuses on generating reliable signals from measured noisy signals through an enhanced sensor fusion method. The main contribution of this research is the development of a novel sensor fusion architecture that creates virtual sensors, impr...

  • Article
  • Open Access
1,417 Views
14 Pages

Parsing Unranked Tree Languages, Folded Once

  • Martin Berglund,
  • Henrik Björklund and
  • Johanna Björklund

19 June 2024

A regular unranked tree folding consists of a regular unranked tree language and a folding operation that merges (i.e., folds) selected nodes of a tree to form a graph; the combination is a formal device for representing graph languages. If, in the p...

  • Article
  • Open Access
4 Citations
1,875 Views
14 Pages

17 June 2024

Precision agriculture involves the application of advanced technologies to improve agricultural productivity, efficiency, and profitability while minimizing waste and environmental impacts. Deep learning approaches enable automated decision-making fo...

  • Article
  • Open Access
3 Citations
2,096 Views
23 Pages

15 June 2024

GMRES is one of the most powerful and popular methods to solve linear systems in the Krylov subspace; we examine it from two viewpoints: to maximize the decreasing length of the residual vector, and to maintain the orthogonality of the consecutive re...

  • Article
  • Open Access
5 Citations
1,363 Views
23 Pages

Optimizing Charging Pad Deployment by Applying a Quad-Tree Scheme

  • Rei-Heng Cheng,
  • Chang-Wu Yu and
  • Zuo-Li Zhang

14 June 2024

The recent advancement in wireless power transmission (WPT) has led to the development of wireless rechargeable sensor networks (WRSNs), since this technology provides a means to replenish sensor nodes wirelessly, offering a solution to the energy ch...

  • Article
  • Open Access
2,629 Views
19 Pages

3D Reconstruction Based on Iterative Optimization of Moving Least-Squares Function

  • Saiya Li,
  • Jinhe Su,
  • Guoqing Jiang,
  • Ziyu Huang and
  • Xiaorong Zhang

14 June 2024

Three-dimensional reconstruction from point clouds is an important research topic in computer vision and computer graphics. However, the discrete nature, sparsity, and noise of the original point cloud contribute to the results of 3D surface generati...

  • Systematic Review
  • Open Access
4 Citations
6,007 Views
32 Pages

14 June 2024

Respiratory Inductance Plethysmography (RIP) is a non-invasive method for the measurement of respiratory rates and lung volumes. Accurate detection of respiratory rates and volumes is crucial for the diagnosis and monitoring of prognosis of lung dise...

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Algorithms - ISSN 1999-4893