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Mathematics, Volume 12, Issue 14

2024 July-2 - 151 articles

Cover Story: The study of nonlinear Schrödinger–Poisson systems has been a central topic in the field of nonlinear analysis for more than two decades. As most results on nonlinear elliptic boundary value problems demonstrate, to obtain nonzero solutions, conditions close to zero and infinity for nonlinearity are required. Using Liu and Wang's version of Clark's theorem [Ann. I. H. Poincaré – AN 32 (2015) 1015–1037], by truncating the term in the variational functional corresponding to the nonlinearity, we obtain infinite solutions of Schrödinger–Poisson systems whose odd nonlinearity is sublinear near zero. Except for subcritical growth, no other technical assumption is assumed for nonlinearity. Similar results for Schrödinger–Kirchhoff equations have also been obtained. View this paper
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Articles (151)

  • Article
  • Open Access
1 Citations
1,545 Views
32 Pages

22 July 2024

Prefabricated cabin modular units (PMCUs) are a widespread type of intermediate products used during ship or offshore platform construction. This paper focuses on the scheduling problem of PMCU assembly flow shops, which is summarized as a multi-obje...

  • Article
  • Open Access
1,203 Views
12 Pages

22 July 2024

In the paper, we investigate the commutativity of a two-torsion free prime ring R provided with generalized derivations, and some well-known results that characterize the commutativity of prime rings through generalized derivations have been generali...

  • Article
  • Open Access
1,168 Views
11 Pages

22 July 2024

We consider the problem of determining the weights of difference schemes whose form is specified by a particular symbolic expression. The order of approximation of the differential equation is equal to a given number. To solve it, it was propose to p...

  • Article
  • Open Access
1 Citations
1,634 Views
17 Pages

22 July 2024

The optimization problems in a fluid catalytic cracking process with dynamic constraints and conflicting objectives are challenging due to the complicated constraints and dynamic environments. The decision variables need to be reoptimized to obtain t...

  • Article
  • Open Access
4 Citations
2,020 Views
16 Pages

Enhanced Attention Res-Unet for Segmentation of Knee Bones

  • Daniel Aibinder,
  • Matan Weisberg,
  • Anna Ghidotti and
  • Miri Weiss Cohen

22 July 2024

The objective of this study was to develop a U-net capable of generating highly accurate 3D models of knee bones, in particular the femur. As part of the approach, a U-net was designed, trained, and validated. In order to achieve these goals, a novel...

  • Article
  • Open Access
10 Citations
4,026 Views
35 Pages

Multi-Objective Optimization of Resilient, Sustainable, and Safe Urban Bus Routes for Tourism Promotion Using a Hybrid Reinforcement Learning Algorithm

  • Keartisak Sriprateep,
  • Rapeepan Pitakaso,
  • Surajet Khonjun,
  • Thanatkij Srichok,
  • Peerawat Luesak,
  • Sarayut Gonwirat,
  • Chutchai Kaewta,
  • Monika Kosacka-Olejnik and
  • Prem Enkvetchakul

22 July 2024

Urban transportation systems in tourism-centric cities face challenges from rapid urbanization and population growth. Efficient, resilient, and sustainable bus route optimization is essential to ensure reliable service, minimize environmental impact,...

  • Article
  • Open Access
6 Citations
1,976 Views
21 Pages

Laplace-Logistic Unit Distribution with Application in Dynamic and Regression Analysis

  • Vladica S. Stojanović,
  • Tanja Jovanović Spasojević and
  • Mihailo Jovanović

22 July 2024

This manuscript presents a new two-parameter unit stochastic distribution, obtained by transforming the Laplace distribution, using a generalized logistic map, into a unit interval. The distribution thus obtained is named the Laplace-logistic unit (a...

  • Article
  • Open Access
6 Citations
2,368 Views
18 Pages

Seismic Response Prediction of Rigid Rocking Structures Using Explainable LightGBM Models

  • Ioannis Karampinis,
  • Kosmas E. Bantilas,
  • Ioannis E. Kavvadias,
  • Lazaros Iliadis and
  • Anaxagoras Elenas

21 July 2024

This study emphasizes the explainability of machine learning (ML) models in predicting the seismic response of rigid rocking structures, specifically using the LightGBM algorithm. By employing SHapley Additive exPlanations (SHAP), partial dependence...

  • Article
  • Open Access
22 Citations
3,033 Views
18 Pages

Learning a Context-Aware Environmental Residual Correlation Filter via Deep Convolution Features for Visual Object Tracking

  • Sachin Sakthi Kuppusami Sakthivel,
  • Sathishkumar Moorthy,
  • Sathiyamoorthi Arthanari,
  • Jae Hoon Jeong and
  • Young Hoon Joo

21 July 2024

Visual tracking has become widespread in swarm robots for intelligent video surveillance, navigation, and autonomous vehicles due to the development of machine learning algorithms. Discriminative correlation filter (DCF)-based trackers have gained in...

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Mathematics - ISSN 2227-7390