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Mathematics, Volume 13, Issue 15

2025 August-1 - 217 articles

Cover Story: High-order reconstruction of piecewise-smooth functions is hampered by Gibbs oscillations near sharp transitions. The figure illustrates our Robust Discontinuity Indicator (RDI), which directly addresses this issue. The upper-left shows the input: function values on a spherical mesh. RDI processes the data in a single pass, combining a theoretically grounded cell-based overshoot indicator with a node-based oscillation indicator. The lower-right shows the output: a clean map that pinpoints C0 (value) and C1 (gradient) discontinuities. RDI handles complex geometry and nonuniform, unstructured meshes while producing fewer false positives than two-pass methods, enabling more reliable remapping and high-order simulations. View this paper
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Articles (217)

  • Article
  • Open Access
2 Citations
614 Views
17 Pages

7 August 2025

Groundwater is an important factor for the stability of the subway station pit constructed in the offshore area. To reflect the effects of groundwater drawdown on the stability of the station pit, this work uses a surface settlement formula based on...

  • Feature Paper
  • Review
  • Open Access
1,722 Views
55 Pages

7 August 2025

Magnetorheological fluids (MRFs) are multiphase materials whose viscosity can be controlled via magnetic fields. However, particle sedimentation undermines their long-term stability. This review examines stabilization strategies based on the interact...

  • Feature Paper
  • Article
  • Open Access
2 Citations
4,042 Views
31 Pages

7 August 2025

The You Only Look Once (YOLO) architecture is crucial for real-time object detection. However, deploying it in resource-constrained environments such as unmanned aerial vehicles (UAVs) requires efficient transfer learning. Although layer freezing is...

  • Article
  • Open Access
933 Views
15 Pages

7 August 2025

Let a and b be positive integers such that a<b and [a,b]={xNaxb}. In this work, we will show that A([a,b])={SS is a numerical semigroup whose Frobenius number belongs to [a,b]} and is a covariety. This fact allows us to...

  • Article
  • Open Access
1 Citations
1,046 Views
18 Pages

Coordinated Truck Loading and Routing Problem: A Forestry Logistics Case Study

  • Cristian Oliva,
  • Manuel Cepeda and
  • Sebastián Muñoz-Herrera

7 August 2025

This study addresses a real-world logistics problem in forestry operations: the distribution of plants from cultivation centers to planting sites under strict delivery time windows and limited depot resources. We introduce the Coordinated Truck Loadi...

  • Article
  • Open Access
1 Citations
701 Views
30 Pages

7 August 2025

Path flow always plays a critical role in extracting vehicle travel patterns and reflecting network-scale traffic features. However, the comprehensive topological structure of urban road networks induces massive route choices, so frequent travel rout...

  • Article
  • Open Access
599 Views
21 Pages

6 August 2025

This study aims to demonstrate how mathematics, especially calculus concepts, can be expanded to include semi-entities and how these can be applied to sampling activities. Here, the multivalued logic uses pseudo-complemented lattices, instead of Bool...

  • Article
  • Open Access
4 Citations
1,692 Views
16 Pages

6 August 2025

Underwater image enhancement is crucial for fields like marine exploration, underwater photography, and environmental monitoring, as underwater images often suffer from reduced visibility, color distortion, and contrast loss due to light absorption a...

  • Article
  • Open Access
1 Citations
2,205 Views
19 Pages

Inbound Truck Scheduling for Workload Balancing in Cross-Docking Terminals

  • Younghoo Noh,
  • Seokchan Lee,
  • Jeongyoon Hong,
  • Jeongeum Kim and
  • Sung Won Cho

6 August 2025

The rapid growth of e-commerce and advances in information and communication technologies have placed increasing pressure on last-mile delivery companies to enhance operational productivity. As investments in logistics infrastructure require long-ter...

  • Article
  • Open Access
738 Views
13 Pages

6 August 2025

This study explores the estimation of the mean of a sensitive variable using calibration estimators under measurement error. Three randomized response techniques are evaluated: Partial Randomized Response Technique, Compulsory Randomized Response Tec...

  • Feature Paper
  • Article
  • Open Access
620 Views
11 Pages

Finite Element Dynamic Modeling of Smart Structures and Adaptive Backstepping Control

  • Zhipeng Xie,
  • Dachang Zhu,
  • Zhenzhang Liu,
  • Yun Long and
  • Fangyi Li

6 August 2025

Smart structures with topological configurations that integrate perception and actuation have complex geometric features. The simplification of these features can lead to deviations in dynamic characteristics, making it difficult to establish an accu...

  • Article
  • Open Access
2 Citations
1,425 Views
34 Pages

A Refined Fuzzy MARCOS Approach with Quasi-D-Overlap Functions for Intuitive, Consistent, and Flexible Sensor Selection in IoT-Based Healthcare Systems

  • Mahmut Baydaş,
  • Safiye Turgay,
  • Mert Kadem Ömeroğlu,
  • Abdulkadir Aydin,
  • Gıyasettin Baydaş,
  • Željko Stević,
  • Enes Emre Başar,
  • Murat İnci and
  • Mehmet Selçuk

6 August 2025

Sensor selection in IoT-based smart healthcare systems is a complex fuzzy decision-making problem due to the presence of numerous uncertain and interdependent evaluation criteria. Traditional fuzzy multi-criteria decision-making (MCDM) approaches oft...

  • Article
  • Open Access
7 Citations
2,937 Views
27 Pages

6 August 2025

High-dimensional prediction problems with complex non-linear feature interactions present significant algorithmic challenges in machine learning, particularly when dealing with imbalanced datasets and multicollinearity issues. This study proposes an...

  • Feature Paper
  • Article
  • Open Access
671 Views
14 Pages

6 August 2025

In total, geodesic surfaces and their generalizations, namely totally umbilical and parallel surfaces, are well-known topics in Submanifold Theory and have been intensively studied in three-dimensional ambient spaces, both Riemannian and Lorentzian....

  • Article
  • Open Access
785 Views
24 Pages

Neural Network-Based Predictive Control of COVID-19 Transmission Dynamics to Support Institutional Decision-Making

  • Cristina-Maria Stăncioi,
  • Iulia Adina Ștefan,
  • Violeta Briciu,
  • Vlad Mureșan,
  • Iulia Clitan,
  • Mihail Abrudean,
  • Mihaela-Ligia Ungureșan,
  • Radu Miron,
  • Ecaterina Stativă and
  • Ioana Nanu
  • + 2 authors

6 August 2025

The COVID-19 pandemic was a profoundly influential global occurrence in recent history, impacting daily life, economics, and healthcare systems for an extended period. The abundance of data has been essential in creating models to simulate and foreca...

  • Article
  • Open Access
788 Views
42 Pages

6 August 2025

This paper presents a combined theoretical, numerical, and experimental analysis to investigate the lateral plastic crushing behavior and energy absorption of circular and non-circular thin-walled rings between two rigid plates. Theoretical solutions...

  • Article
  • Open Access
1 Citations
941 Views
15 Pages

6 August 2025

The K-means algorithm utilizes the Euclidean distance metric to quantify the similarity between data points and clusters, with the fundamental objective of assessing the relationship between points. It is important to note that, during the process of...

  • Article
  • Open Access
2 Citations
671 Views
11 Pages

A Random Riemann–Liouville Integral Operator

  • Jorge Sanchez-Ortiz,
  • Omar U. Lopez-Cresencio,
  • Martin P. Arciga-Alejandre and
  • Francisco J. Ariza-Hernandez

6 August 2025

In this work, we propose a definition of the random fractional Riemann–Liouville integral operator, where the order of integration is given by a random variable. Within the framework of random operator theory, we study this integral with a rand...

  • Feature Paper
  • Article
  • Open Access
1 Citations
2,950 Views
18 Pages

6 August 2025

Contextual multi-armed bandits (CMABs) are vital for sequential decision-making in areas such as recommendation systems, clinical trials, and finance. We propose a simulation framework integrating Gaussian Process (GP)-based CMABs with vine copulas t...

  • Article
  • Open Access
1 Citations
1,232 Views
32 Pages

5 August 2025

Internet of Things (IoT) applications and services have transformed the way people interact with their environment, enhancing comfort and quality of life. Additionally, Machine Learning (ML) approaches show significant promise for detecting intrusion...

  • Article
  • Open Access
1,078 Views
15 Pages

5 August 2025

With the advent of the big data era, multi-view clustering (MVC) methods have attracted considerable acclaim due to their capability in handling the multifaceted nature of data, which achieves impressive results across various fields. However, two si...

  • Article
  • Open Access
534 Views
14 Pages

Oscillatory Analysis of Third-Order Hybrid Trinomial Delay Differential Equations via Binomial Transform

  • Ganesh Purushothaman,
  • Ekambaram Chandrasekaran,
  • George E. Chatzarakis and
  • Ethiraju Thandapani

5 August 2025

The oscillatory behavior of a class of third-order hybrid-type delay differential equations—used to model various real-world phenomena in fluid dynamics, control systems, biology, and beam deflection—is investigated in this study. A novel...

  • Article
  • Open Access
1 Citations
961 Views
11 Pages

5 August 2025

This paper addresses the controller design problem for linear systems with time-varying delays. By constructing a novel Lyapunov–Krasovskii functional incorporating delay-partitioning techniques, we establish delay-dependent stability criteria...

  • Feature Paper
  • Article
  • Open Access
1 Citations
911 Views
28 Pages

5 August 2025

The accurate prediction of significant wave height presents a complex yet vital challenge in the fields of ocean engineering. This capability is essential for disaster prevention, fostering sustainable development and deepening our understanding of v...

  • Article
  • Open Access
1,082 Views
34 Pages

A Study of Periodicities in a One-Dimensional Piecewise Smooth Discontinuous Map

  • Rajanikant A. Metri,
  • Bhooshan Rajpathak,
  • Kethavath Raghavendra Naik and
  • Mohan Lal Kolhe

5 August 2025

In this study, we investigate the nonlinear dynamical behavior of a one-dimensional linear piecewise-smooth discontinuous (LPSD) map with a negative slope, motivated by its occurrence in systems exhibiting discontinuities, such as power electronic co...

  • Article
  • Open Access
677 Views
23 Pages

5 August 2025

The berth allocation and crane assignment problem (BACAP) is a key challenge in port logistics, particularly under dynamic and uncertain vessel arrival conditions. To address the limitations of existing methods in handling large-scale and high-distur...

  • Feature Paper
  • Article
  • Open Access
1,180 Views
15 Pages

5 August 2025

This paper develops an analytical pricing formula for vulnerable options with stochastic volatility under a two-factor stochastic interest rate model. We consider the underlying asset price following the Heston stochastic volatility model, while the...

  • Article
  • Open Access
500 Views
15 Pages

5 August 2025

This paper investigates the periodic boundary value problem for impulsive evolution equation in ordered Banach space. By applying the Poincaré mapping and monotone iterative method, we obtain the existence results of mild solutions and positiv...

  • Article
  • Open Access
605 Views
18 Pages

5 August 2025

This paper is concerned with the problem of dynamic output feedback exponential stability control of T-S fuzzy networked control systems (NCSs) with varying communication delays. First, with consideration of varying communication delays, a new model...

  • Article
  • Open Access
770 Views
15 Pages

An Upper Bound for the Weight of the Fine Uniformity

  • Johnny Cuadro,
  • Margarita Gary and
  • Adolfo Pimienta

5 August 2025

If (X,U) is a Hausdorff uniform space, we define the uniform weight w(X,U) as the smallest cardinal κ such that U has a basis of cardinality κ. An important topological cardinal of a Tychonoff space X is the number of cozero sets of...

  • Article
  • Open Access
1,016 Views
17 Pages

Privacy-Aware Table Data Generation by Adversarial Gradient Boosting Decision Tree

  • Shuai Jiang,
  • Naoto Iwata,
  • Sayaka Kamei,
  • Kazi Md. Rokibul Alam and
  • Yasuhiko Morimoto

4 August 2025

Privacy preservation poses significant challenges in third-party data sharing, particularly when handling table data containing personal information such as demographic and behavioral records. Synthetic table data generation has emerged as a promisin...

  • Feature Paper
  • Article
  • Open Access
1 Citations
972 Views
31 Pages

4 August 2025

Automated quality control plays a critical role in modern industries, particularly in environments that handle large volumes of packaged products requiring fast, accurate, and consistent inspections. This work presents an anomaly detection system for...

  • Retraction
  • Open Access
555 Views
1 Page

4 August 2025

The journal retracts the article “Resolving Indeterminacy Approach to Solve Multi-Criteria Zero-Sum Matrix Games with Intuitionistic Fuzzy Goals” [...]

  • Article
  • Open Access
1 Citations
1,581 Views
24 Pages

A Transfer Learning Approach for Diverse Motion Augmentation Under Data Scarcity

  • Junwon Yoon,
  • Jeon-Seong Kang,
  • Ha-Yoon Song,
  • Beom-Joon Park,
  • Kwang-Woo Jeon,
  • Hyun-Joon Chung and
  • Jang-Sik Park

4 August 2025

Motion-capture data provide high accuracy but are difficult to obtain, necessitating dataset augmentation. To our knowledge, no prior study has investigated few-shot generative models for motion-capture data that address both quality and diversity. W...

  • Article
  • Open Access
1 Citations
5,111 Views
17 Pages

4 August 2025

Quantum finance, as a key application scenario of quantum computing, showcases multiple significant advantages of quantum machine learning over traditional machine learning methods. This paper first aims to overcome the limitations of the hidden quan...

  • Article
  • Open Access
1,523 Views
28 Pages

Fine-Tuning Pre-Trained Large Language Models for Price Prediction on Network Freight Platforms

  • Pengfei Lu,
  • Ping Zhang,
  • Jun Wu,
  • Xia Wu,
  • Yunsheng Mao and
  • Tao Liu

4 August 2025

Various factors influence the formation and adjustment of network freight prices, including transportation costs, cargo characteristics, and policies and regulations. The interaction of these factors increases the difficulty of accurately predicting...

  • Article
  • Open Access
687 Views
24 Pages

4 August 2025

Meta-heuristic algorithms are the dominant techniques for parameter estimating for solar photovoltaic (PV) models. Current algorithms are primarily designed with a focus on search performance and convergence speed, but they fail to account for the si...

  • Feature Paper
  • Article
  • Open Access
852 Views
25 Pages

3 August 2025

Clinical trials involving paired organs often yield a mixture of unilateral and bilateral data, where each subject may contribute either one or two responses. While unilateral responses from different individuals can be treated as independent, bilate...

  • Article
  • Open Access
1 Citations
1,456 Views
40 Pages

3 August 2025

This study proposes a novel metaheuristic algorithm, Cosmic Evolution Optimization (CEO), for numerical optimization and engineering design. Inspired by the cosmic evolution process, CEO simulates physical phenomena including cosmic expansion, univer...

  • Article
  • Open Access
621 Views
16 Pages

3 August 2025

In this paper, by using the techniques of real analysis, with the help of the Euler–Maclaurin summation formula, Abel’s summation by parts formula, and the differentiation mid-value theorem, we establish a half-discrete Hardy–Mulhol...

  • Article
  • Open Access
614 Views
13 Pages

3 August 2025

The relationship between temperature and mortality is well-documented, yet most existing studies assume this relationship remains static over time. This study investigates whether the temperature-mortality association in Chicago from 1987 to 2000 has...

  • Article
  • Open Access
3,334 Views
16 Pages

Multimodal Temporal Knowledge Graph Embedding Method Based on Mixture of Experts for Recommendation

  • Bingchen Liu,
  • Guangyuan Dong,
  • Zihao Li,
  • Yuanyuan Fang,
  • Jingchen Li,
  • Wenqi Sun,
  • Bohan Zhang,
  • Changzhi Li and
  • Xin Li

3 August 2025

Knowledge-graph-based recommendation aims to provide personalized recommendation services to users based on their historical interaction information, which is of great significance for shopping transaction rates and other aspects. With the rapid grow...

  • Article
  • Open Access
1,501 Views
19 Pages

3 August 2025

In today’s volatile supply chain environment, organizations require flexible and collaborative procurement strategies. Swap contracts, originally developed as financial instruments, have recently been adopted to address inventory imbalances&mda...

  • Article
  • Open Access
505 Views
19 Pages

New Asymptotic and Oscillatory Results for Third-Order Noncanonical Advanced Differential Equations

  • Asma Althemairi,
  • Stefano Serra-Capizzano,
  • Belgees Qaraad and
  • Higinio Ramos

3 August 2025

The aim of this study is to investigate the oscillatory behaviour of a new class of third-order advanced differential equations in their noncanonical form. By employing newly refined transformations, the noncanonical equation is converted into its ca...

  • Article
  • Open Access
1,320 Views
24 Pages

Robust JND-Guided Video Watermarking via Adaptive Block Selection and Temporal Redundancy

  • Antonio Cedillo-Hernandez,
  • Lydia Velazquez-Garcia,
  • Manuel Cedillo-Hernandez,
  • Ismael Dominguez-Jimenez and
  • David Conchouso-Gonzalez

3 August 2025

This paper introduces a robust and imperceptible video watermarking framework designed for blind extraction in dynamic video environments. The proposed method operates in the spatial domain and combines multiscale perceptual analysis, adaptive Just N...

  • Article
  • Open Access
816 Views
30 Pages

Finite Integration Method with Chebyshev Expansion for Shallow Water Equations over Variable Topography

  • Ampol Duangpan,
  • Ratinan Boonklurb,
  • Lalita Apisornpanich and
  • Phiraphat Sutthimat

2 August 2025

The shallow water equations (SWEs) model fluid flow in rivers, coasts, and tsunamis. Their nonlinearity challenges analytical solutions. We present a numerical algorithm combining the finite integration method with Chebyshev polynomial expansion (FIM...

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Mathematics - ISSN 2227-7390