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Algorithms, Volume 18, Issue 5

May 2025 - 60 articles

Cover Story: Earth‑scale functional datasets—curves, surfaces, and even 4D fields—are now common. However, existing tools choke on irregular sampling and increasing dimensionality. We introduce Bayesian Scalable Functional Data Analysis (BSFDA), a kernel‑based framework that simultaneously selects basis functions and intrinsic rank. By coupling sparsity‑promoting priors with an active‑subspace optimizer, BSFDA preserves high-dimensional complexities while scaling linearly with the data size. Simulations and real‑world studies, from sparse CD4 immune trajectories to wind‑speed curves and global ocean temperatures, demonstrate its efficacy. Overall, BSFDA offers an adaptive, continuous, and scalable tool for modern functional data analysis across diverse scientific domains. View this paper
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Articles (60)

  • Article
  • Open Access
1,009 Views
23 Pages

Innovative Control Techniques for Enhancing Signal Quality in Power Applications: Mitigating Electromagnetic Interference

  • N. Manoj Kumar,
  • Yousef Farhaoui,
  • R. Vimala,
  • M. Anandan,
  • M. Aiswarya and
  • A. Radhika

18 May 2025

Electromagnetic interference (EMI) remains a difficult task in the design and operation of contemporary power electronic systems, especially in those applications where signal quality has a direct impact on the overall performance and efficiency. Con...

  • Article
  • Open Access
3 Citations
1,005 Views
24 Pages

Generation of Realistic Synthetic Load Profile Based on the Markov Chains Theory: Methodology and Case Studies

  • Irena Valova,
  • Katerina G. Gabrovska-Evstatieva,
  • Tsvetelina Kaneva and
  • Boris I. Evstatiev

17 May 2025

Digital energy systems rely on actual data about power consumption and generation, which are not always available and, in certain situations, can be replaced with synthetic forms. This study presents a methodology for generating synthetic time-series...

  • Article
  • Open Access
1 Citations
1,965 Views
15 Pages

Efficient Expiration Date Recognition in Food Packages for Mobile Applications

  • Hao Peng,
  • Juan Bayon,
  • Joaquin Recas and
  • Maria Guijarro

15 May 2025

The manuscript introduces an innovative framework for expiration date recognition aimed at improving accessibility for visually impaired individuals. The study underscores the pivotal role of convolutional neural networks (CNNs) in addressing complex...

  • Article
  • Open Access
1 Citations
967 Views
19 Pages

Development of a Model for Soil Salinity Segmentation Based on Remote Sensing Data and Climate Parameters

  • Gulzira Abdikerimova,
  • Dana Khamitova,
  • Akmaral Kassymova,
  • Assyl Bissengaliyeva,
  • Gulsara Nurova,
  • Murat Aitimov,
  • Yerlan Alimzhanovich Shynbergenov,
  • Moldir Yessenova and
  • Roza Bekbayeva

14 May 2025

The paper presents a hybrid machine learning model for the spatial segmentation of soils by salinity using multispectral satellite data from Sentinel-2 and climate parameters of the ERA5-Land model. The proposed method aims to solve the problem of ac...

  • Article
  • Open Access
1,122 Views
29 Pages

Learning Analytics in a Non-Linear Virtual Course

  • Jhon Mercado,
  • Carlos Mendoza-Cardenas,
  • Luis Fletscher and
  • Natalia Gaviria-Gomez

13 May 2025

Researchers have extensively explored learning analytics in online courses, primarily focusing on linear course structures where students progress sequentially through lessons and assessments. However, non-linear courses, which allow students to comp...

  • Article
  • Open Access
1 Citations
870 Views
23 Pages

Modeling of Global and Individual Kinetic Parameters in Wheat Straw Torrefaction: Particle Swarm Optimization and Its Impact on Elemental Composition Prediction

  • Ismael Urbina-Salas,
  • David Granados-Lieberman,
  • Martín Valtierra-Rodríguez,
  • Claudia Adriana Ramírez-Valdespino and
  • David Aarón Rodríguez-Alejandro

13 May 2025

With the growing demand for sustainable energy solutions, biomass torrefaction has emerged as a crucial technology for converting agricultural waste into high-value biofuels. This work develops dual kinetic modeling using global and individual parame...

  • Article
  • Open Access
755 Views
30 Pages

12 May 2025

This paper introduces a novel method for the topology optimization of multi-material structures. The core innovation lies in minimizing an appropriate norm of the transfer matrix that links external loads to system outputs. Several formulations of st...

  • Article
  • Open Access
1 Citations
926 Views
16 Pages

11 May 2025

The automatic segmentation technique for colorectal polyps in colonoscopy is considered critical for aiding physicians in real-time lesion identification and minimizing diagnostic errors such as false positives and missed lesions. Despite significant...

  • Article
  • Open Access
944 Views
16 Pages

10 May 2025

In this paper, we present a new distributed approximation algorithm for the minimum dominating set problem in planar triangle-free graphs. The algorithm operates in a constant number of rounds in the LOCAL model. Using the bunch technique, we prove t...

  • Article
  • Open Access
783 Views
17 Pages

DEPANet: A Differentiable Edge-Guided Pyramid Aggregation Network for Strip Steel Surface Defect Segmentation

  • Yange Sun,
  • Siyu Geng,
  • Chengyi Zheng,
  • Chenglong Xu,
  • Huaping Guo and
  • Yan Feng

9 May 2025

The steel strip is an important and ideal material for the automotive and aerospace industries due to its superior machinability, cost efficiency, and flexibility. However, surface defects such as inclusions, spots, and scratches can significantly im...

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Algorithms - ISSN 1999-4893