Skip Content
You are currently on the new version of our website. Access the old version .

Mathematical and Computational Applications, Volume 27, Issue 2

2022 April - 15 articles

Cover Story: We implemented stochastic recurrent neural networks (Boltzmann machines) for automated cell tracking in image sequences of growing bacterial populations to minimize task-specific costs. These new non-linear functionals were inferred from data, with key parameters determined numerically with an innovative algorithm. This approach enables good identification of cell divisions and efficient cell tracking in tightly packed cell populations, reaching cell registration accuracies ranging from 90% to 100% per frame when applied to images of E. Coli populations in microfluidic traps, as well as image sequences of simulated bacterial colonies. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (15)

  • Article
  • Open Access
9 Citations
3,550 Views
14 Pages

On the Prediction of Evaporation in Arid Climate Using Machine Learning Model

  • Mansura Jasmine,
  • Abdolmajid Mohammadian and
  • Hossein Bonakdari

Evaporation calculations are important for the proper management of hydrological resources, such as reservoirs, lakes, and rivers. Data-driven approaches, such as adaptive neuro fuzzy inference, are getting popular in many hydrological fields. This p...

  • Feature Paper
  • Article
  • Open Access
6 Citations
4,804 Views
26 Pages

Benchmarking Regridding Libraries Used in Earth System Modelling

  • Sophie Valcke,
  • Andrea Piacentini and
  • Gabriel Jonville

Components of Earth system models (ESMs) usually use different numerical grids because of the different environments they represent. Therefore, a coupling field sent by a source model has to be regridded to be used by a target model. The regridding h...

  • Article
  • Open Access
11 Citations
4,687 Views
13 Pages

Nadarajah–Haghighi Lomax Distribution and Its Applications

  • Vasili B. V. Nagarjuna,
  • Rudravaram Vishnu Vardhan and
  • Christophe Chesneau

Over the years, several researchers have worked to model phenomena in which the distribution of data presents more or less heavy tails. With this aim, several generalizations or extensions of the Lomax distribution have been proposed. In this paper,...

  • Article
  • Open Access
4 Citations
3,144 Views
25 Pages

Applications of ANFIS-Type Methods in Simulation of Systems in Marine Environments

  • Aakanksha Jain,
  • Iman Bahreini Toussi,
  • Abdolmajid Mohammadian,
  • Hossein Bonakdari and
  • Majid Sartaj

ANFIS-type algorithms have been used in various modeling and simulation problems. With the help of algorithms with more accuracy and adaptability, it is possible to obtain better real-life emulating models. A critical environmental problem is the dis...

  • Article
  • Open Access
2 Citations
3,443 Views
14 Pages

In Vivo Validation of a Cardiovascular Simulation Model in Pigs

  • Moriz A. Habigt,
  • Jonas Gesenhues,
  • Maike Stemmler,
  • Marc Hein,
  • Rolf Rossaint and
  • Mare Mechelinck

Many computer simulation models of the cardiovascular system, of varying complexity and objectives, have been proposed in physiological science. Every model needs to be parameterized and evaluated individually. We conducted a porcine animal model to...

  • Article
  • Open Access
5 Citations
3,240 Views
16 Pages

Image Segmentation with a Priori Conditions: Applications to Medical and Geophysical Imaging

  • Guzel Khayretdinova,
  • Christian Gout,
  • Théophile Chaumont-Frelet and
  • Sergei Kuksenko

In this paper, we propose a method for semi-supervised image segmentation based on geometric active contours. The main novelty of the proposed method is the initialization of the segmentation process, which is performed with a polynomial approximatio...

  • Article
  • Open Access
10 Citations
3,313 Views
17 Pages

Theoretical and Computational Results of a Memory-Type Swelling Porous-Elastic System

  • Adel M. Al-Mahdi,
  • Mohammad M. Al-Gharabli and
  • Mohamed Alahyane

In this paper, we consider a memory-type swelling porous-elastic system. First, we use the multiplier method to prove explicit and general decay results to solutions of the system with sufficient regularities. These decay results are established unde...

  • Article
  • Open Access
20 Citations
3,021 Views
15 Pages

The phenomenon of convective flow with heat and mass transfer has been studied extensively due to its applications in various fields. The effects of nonlinear thermal radiation (NLTR), slip, thermal-diffusion (Soret) and diffusion-thermo (Dufour) on...

  • Article
  • Open Access
18 Citations
7,020 Views
18 Pages

Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis

  • Eduardo Enrique Contreras-Luján,
  • Enrique Efrén García-Guerrero,
  • Oscar Roberto López-Bonilla,
  • Esteban Tlelo-Cuautle,
  • Didier López-Mancilla and
  • Everardo Inzunza-González

Deep venous thrombosis (DVT) is a disease that must be diagnosed quickly, as it can trigger the death of patients. Nowadays, one can find different ways to determine it, including clinical scoring, D-dimer, ultrasonography, etc. Recently, scientists...

  • Feature Paper
  • Article
  • Open Access
5 Citations
3,490 Views
18 Pages

Variable Decomposition for Large-Scale Constrained Optimization Problems Using a Grouping Genetic Algorithm

  • Guadalupe Carmona-Arroyo,
  • Marcela Quiroz-Castellanos and
  • Efrén Mezura-Montes

Several real optimization problems are very difficult, and their optimal solutions cannot be found with a traditional method. Moreover, for some of these problems, the large number of decision variables is a major contributing factor to their complex...

  • Feature Paper
  • Article
  • Open Access
2 Citations
4,609 Views
35 Pages

Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies

  • Sorena Sarmadi,
  • James J. Winkle,
  • Razan N. Alnahhas,
  • Matthew R. Bennett,
  • Krešimir Josić,
  • Andreas Mang and
  • Robert Azencott

Our work targets automated analysis to quantify the growth dynamics of a population of bacilliform bacteria. We propose an innovative approach to frame-sequence tracking of deformable-cell motion by the automated minimization of a new, specific cost...

  • Article
  • Open Access
27 Citations
8,988 Views
20 Pages

Attention Measurement of an Autism Spectrum Disorder User Using EEG Signals: A Case Study

  • José Jaime Esqueda-Elizondo,
  • Reyes Juárez-Ramírez,
  • Oscar Roberto López-Bonilla,
  • Enrique Efrén García-Guerrero,
  • Gilberto Manuel Galindo-Aldana,
  • Laura Jiménez-Beristáin,
  • Alejandra Serrano-Trujillo,
  • Esteban Tlelo-Cuautle and
  • Everardo Inzunza-González

Autism Spectrum Disorder (ASD) is a neurodevelopmental life condition characterized by problems with social interaction, low verbal and non-verbal communication skills, and repetitive and restricted behavior. People with ASD usually have variable att...

  • Article
  • Open Access
4 Citations
2,739 Views
19 Pages

The present paper aims to present the effects of late switching on (time delay) between two or three DC electrical machines characterized by limited power supplies on their fast or late self-synchronization when mounted on a rectangular plate with si...

  • Feature Paper
  • Article
  • Open Access
8 Citations
3,464 Views
15 Pages

Meshless Computational Strategy for Higher Order Strain Gradient Plate Models

  • Francesco Fabbrocino,
  • Serena Saitta,
  • Riccardo Vescovini,
  • Nicholas Fantuzzi and
  • Raimondo Luciano

The present research focuses on the use of a meshless method for the solution of nanoplates by considering strain gradient thin plate theory. Unlike the most common finite element method, meshless methods do not rely on a domain decomposition. In the...

  • Article
  • Open Access
2 Citations
3,682 Views
8 Pages

In this paper, inside the system of uncertainty theory, the valuation of equity warrants is explored. Different from the strategies of probability theory, the valuation problem of equity warrants is unraveled by utilizing the strategy of uncertain ca...

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Math. Comput. Appl. - ISSN 2297-8747