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Periodic Solutions to Nonlinear Second-Order Difference Equations with Two-Dimensional Kernel Mathematics (IF 2.4) Pub Date : 2024-03-14 Daniel Maroncelli
In this work, we provide conditions for the existence of periodic solutions to nonlinear, second-order difference equations of the form y(t+2)+by(t+1)+cy(t)=g(y(t)), where b and c are real parameters, c≠0, and g:R→R is continuous.
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Analyzing Russia–Ukraine War Patterns Based on Lanchester Model Using SINDy Algorithm Mathematics (IF 2.4) Pub Date : 2024-03-14 Daewon Chung, Byeongseon Jeong
In this paper, we present an effective method for analyzing patterns in the Russia–Ukraine war based on the Lanchester model. Due to the limited availability of information on combat powers of engaging forces, we utilize the loss of armored equipment as the primary data source. To capture the intricate dynamics of modern warfare, we partition the combat loss data into disjoint subsets by examining
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OptimizingEnsemble Learning to Reduce Misclassification Costs in Credit Risk Scorecards Mathematics (IF 2.4) Pub Date : 2024-03-14 John Martin, Sona Taheri, Mali Abdollahian
Credit risk scorecard models are utilized by lending institutions to optimize decisions on credit approvals. In recent years, ensemble learning has often been deployed to reduce misclassification costs in credit risk scorecards. In this paper, we compared the risk estimation of 26 widely used machine learning algorithms based on commonly used statistical metrics. The best-performing algorithms were
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Frequency Criterion for the Existence of Sliding Processes in Control Systems with an Arbitrary Variable Structure Mathematics (IF 2.4) Pub Date : 2024-03-14 Vladimir Kodkin, Ekaterina Kuznetsova, Alexander Anikin, Alexander A. Baldenkov
The article proposes a criterion for the existence of sliding processes according to the frequency characteristics of the control device and the control object. It is shown that the conditions for the existence of slip are equivalent to the conditions for the absolute stability of equivalent circuits of the original systems with a variable structure. This approach is proposed by the authors as an alternative
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Exploring Thermoelastic Effects in Damped Bresse Systems with Distributed Delay Mathematics (IF 2.4) Pub Date : 2024-03-14 Abdelbaki Choucha, Djamel Ouchenane, Safa M. Mirgani, Eltigan I. Hassan, A. H. A. Alfedeel, Khaled Zennir
In this work, we consider the one-dimensional thermoelastic Bresse system by addressing the aspects of nonlinear damping and distributed delay term acting on the first and the second equations. We prove a stability result without the common assumption regarding wave speeds under Neumann boundary conditions. We discover a new relationship between the decay rate of the solution and the growth of ϖ at
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A Source Identification Problem in Magnetics Solved by Means of Deep Learning Methods Mathematics (IF 2.4) Pub Date : 2024-03-15 Sami Barmada, Paolo Di Barba, Nunzia Fontana, Maria Evelina Mognaschi, Mauro Tucci
In this study, a deep learning-based approach is used to address inverse problems involving the inversion of a magnetic field and the identification of the relevant source, given the field data within a specific subdomain. Three different techniques are proposed: the first one is characterized by the use of a conditional variational autoencoder (CVAE) and a convolutional neural network (CNN); the second
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Simple Moment Generating Function Optimisation Technique to Design Optimum Electronic Filter for Underwater Wireless Optical Communication Receiver Mathematics (IF 2.4) Pub Date : 2024-03-15 Intesar F. El Ramley, Saleha M. AlZhrani, Nada M. Bedaiwi, Yas Al-Hadeethi, Abeer Z. Barasheed
This paper introduces a new simple moment-generating function (MGF) design modelling method to conclude an optimum filter to maximize the Q-factor and increase the link communication span. This approach mitigates the pulse temporal dispersion, particularly the underwater wireless optical communication (UWOC) systems. Hence, some form of equalizing filter design is highly desirable. The model solution
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A Noisy Fractional Brownian Motion Model for Multiscale Correlation Analysis of High-Frequency Prices Mathematics (IF 2.4) Pub Date : 2024-03-15 Tim Leung, Theodore Zhao
We analyze the multiscale behaviors of high-frequency intraday prices, with a focus on how asset prices are correlated over different timescales. The multiscale approach proposed in this paper is designed for the analysis of high-frequency intraday prices. It incorporates microstructure noise into the stochastic price process. We consider a noisy fractional Brownian motion model and illustrate its
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An Analysis of Power Friction Losses in Gear Engagement with Intermediate Rolling Elements and a Free Cage Mathematics (IF 2.4) Pub Date : 2024-03-16 Egor A. Efremenkov, Nikita V. Martyushev, Svetlana K. Efremenkova, Egor S. Chavrov
Currently, mechanical gears with cycloid engagement are increasingly used in mechanisms along with involute ones. In modern drive mechanisms, using pin gears and gears with intermediate rolling elements (IRE) is widespread, which simultaneously use cycloid gears. To a greater extent, pin gears are now being investigated, but IRE gears have their undeniable advantages. Many works are devoted to the
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The Constrained 2-Maxian Problem on Cycles Mathematics (IF 2.4) Pub Date : 2024-03-16 Chunsong Bai, Jun Du
This paper deals with p-maxian problem on cycles with an upper bound on the distances of all facilities. We consider the case of p=2 and show that, in the worst case, the optimal solution contains at least one vertex of the underlying cycle, which helps to develop an efficient algorithm to solve the constrained 2-maxian problem. Based on this property, we develop a linear time algorithm for the constrained
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A Mathematica-Based Interface for the Exploration of Inter- and Intra-Regional Financial Flows Mathematics (IF 2.4) Pub Date : 2024-03-16 Kyriaki Tsilika
This work surveys the use of directed weighted graphs in conducting comparative static analyses. The paper discusses the implementation of a computer-aided process for building spreadsheet-based graph models for inter- and intra-regional financial flows. The graph-theoretic techniques are programmed to enable the interactive visualization and analysis of financial data using Wolfram technologies (i
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Consistency Improvement in the Analytic Hierarchy Process Mathematics (IF 2.4) Pub Date : 2024-03-12 Valerio Antonio Pamplona Salomon, Luiz Flavio Autran Monteiro Gomes
Consistency checking is one of the reasons for the Analytic Hierarchy Process (AHP) leadership in publications on multiple criteria decision-making (MCDM). Consistency is a measure of the quality of data input in the AHP. The theory of AHP provides indicators for the consistency of data. When an indicator is out of the desired interval, the data must be reviewed. This article presents a method for
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Three-Dimensional Modeling and Inversion of Gravity Data Based on Topography: Urals Case Study Mathematics (IF 2.4) Pub Date : 2024-03-12 Denis Byzov, Petr Martyshko
In this paper, the derivation of a concise closed form for the gravitational field of a polyhedron is presented. This formula forms the basis of the algorithm for calculating the gravitational field of an arbitrary shape body with high accuracy. Based on this algorithm, a method for gravity data inversion (creating density models of the Earth’s crust) has been developed. The algorithm can accept either
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On the Dynamics of Immune-Tumor Conjugates in a Four-Dimensional Tumor Model Mathematics (IF 2.4) Pub Date : 2024-03-13 Konstantin E. Starkov, Alexander P. Krishchenko
We examine the ultimate dynamics of the four-dimensional model describing interactions between host cells, immune cells, tumor cells, and immune-tumor conjugate cells proposed by Abernethy and Gooding in 2018. In our paper, the ultimate upper bounds for all variables of this model are obtained. Formulas for positively invariant sets are deduced. Using these results, we establish conditions for the
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A Moiré Removal Method Based on Peak Filtering and Image Enhancement Mathematics (IF 2.4) Pub Date : 2024-03-14 Wenfa Qi, Xinquan Yu, Xiaolong Li, Shuangyong Kang
Screen photos often suffer from moiré patterns, which significantly affect their visual quality. Although many deep learning-based methods for removing moiré patterns have been proposed, they fail to recover images with complex textures and heavy moiré patterns. Here, we focus on text images with heavy moiré patterns and propose a new demoiré approach, incorporating frequency-domain peak filtering
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Revenue Management in Airlines and External Factors Affecting Decisions: The Harmonic Oscillator Model Mathematics (IF 2.4) Pub Date : 2024-03-14 Ivan Arraut, Wilson Rosado, Victor Leong
The Revenue Management (RM) problem in airlines for a fixed capacity, single resource and two classes has been solved before by using a standard formalism. In this paper we propose a model for RM by using the semi-classical approach of the Quantum Harmonic Oscillator. We then extend the model to include external factors affecting the people’s decisions, particularly those where collective decisions
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The Emission Reduction Technology Decision of the Port Supply Chain Mathematics (IF 2.4) Pub Date : 2024-03-14 Yan Zhou, Haiying Zhou
The technology options for sustainable development are explored with customer low-carbon preference in a port supply chain consisting of one ship and one port. Port supply chains can opt for either shower power or low-sulfur fuel oil to cut down emissions. We set game models considering three power structures: the port dominant (port-led Stackelberg game), the ship dominant (ship-led Stackelberg game)
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GreenNAS: A Green Approach to the Hyperparameters Tuning in Deep Learning Mathematics (IF 2.4) Pub Date : 2024-03-14 Giorgia Franchini
This paper discusses the challenges of the hyperparameter tuning in deep learning models and proposes a green approach to the neural architecture search process that minimizes its environmental impact. The traditional approach of neural architecture search involves sweeping the entire space of possible architectures, which is computationally expensive and time-consuming. Recently, to address this issue
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Stochastic Orderings between Two Finite Mixtures with Inverted-Kumaraswamy Distributed Components Mathematics (IF 2.4) Pub Date : 2024-03-14 Raju Bhakta, Pradip Kundu, Suchandan Kayal, Morad Alizadeh
In this paper, we consider two finite mixture models (FMMs) with inverted-Kumaraswamy distributed components’ lifetimes. Several stochastic ordering results between the FMMs are obtained. Mainly, we focus on three different cases in terms of the heterogeneity of parameters. The usual stochastic order between the FMMs is established when heterogeneity presents in one parameter as well as two parameters
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Accurate Computations with Block Checkerboard Pattern Matrices Mathematics (IF 2.4) Pub Date : 2024-03-14 Jorge Delgado, Héctor Orera, J. M. Peña
In this work, block checkerboard sign pattern matrices are introduced and analyzed. They satisfy the generalized Perron–Frobenius theorem. We study the case related to total positive matrices in order to guarantee bidiagonal decompositions and some linear algebra computations with high relative accuracy. A result on intervals of checkerboard matrices is included. Some numerical examples illustrate
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Multi-Threshold Image Segmentation Based on the Improved Dragonfly Algorithm Mathematics (IF 2.4) Pub Date : 2024-03-14 Yuxue Dong, Mengxia Li, Mengxiang Zhou
In view of the problems that the dragonfly algorithm has, such as that it easily falls into the local optimal solution and the optimization accuracy is low, an improved Dragonfly Algorithm (IDA) is proposed and applied to Otsu multi-threshold image segmentation. Firstly, an elite-opposition-based learning optimization is utilized to enhance the diversity of the initial population of dragonflies, laying
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The Build-Up Construction for Codes over a Commutative Non-Unitary Ring of Order 9 Mathematics (IF 2.4) Pub Date : 2024-03-15 Adel Alahmadi, Tamador Alihia, Rowena Alma Betty, Lucky Galvez, Patrick Solé
The build-up method is a powerful class of propagation rules that generate self-dual codes over finite fields and unitary rings. Recently, it was extended to non-unitary rings of order 4, to generate quasi self-dual codes. In the present paper, we introduce three such propagation rules to generate self-orthogonal, self-dual and quasi self-dual codes over a special non-unitary ring of order 9. As an
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The Mass Formula for Self-Orthogonal and Self-Dual Codes over a Non-Unitary Non-Commutative Ring Mathematics (IF 2.4) Pub Date : 2024-03-15 Adel Alahmadi, Altaf Alshuhail, Rowena Alma Betty, Lucky Galvez, Patrick Solé
In this paper, we derive a mass formula for the self-orthogonal codes and self-dual codes over a non-commutative non-unitary ring, namely, Ep=a,b|pa=pb=0,a2=a,b2=b,ab=a,ba=b, where a≠b and p is any odd prime. We also give a classification of self-orthogonal codes and self-dual codes over Ep, where p=3,5, and 7, in short lengths.
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Modulated Memory Network for Video Object Segmentation Mathematics (IF 2.4) Pub Date : 2024-03-15 Hannan Lu, Zixian Guo, Wangmeng Zuo
Existing video object segmentation (VOS) methods based on matching techniques commonly employ a reference set comprising historical segmented frames, referred to as ‘memory frames’, to facilitate the segmentation process. However, these methods suffer from the following limitations: (i) Inherent segmentation errors in memory frames can propagate and accumulate errors when utilized as templates for
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Switching Self-Attention Text Classification Model with Innovative Reverse Positional Encoding for Right-to-Left Languages: A Focus on Arabic Dialects Mathematics (IF 2.4) Pub Date : 2024-03-15 Laith H. Baniata, Sangwoo Kang
Transformer models have emerged as frontrunners in the field of natural language processing, primarily due to their adept use of self-attention mechanisms to grasp the semantic linkages between words in sequences. Despite their strengths, these models often face challenges in single-task learning scenarios, particularly when it comes to delivering top-notch performance and crafting strong latent feature
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Cyclic Codes over a Non-Local Non-Unital Ring Mathematics (IF 2.4) Pub Date : 2024-03-15 Adel Alahmadi, Malak Altaiary, Patrick Solé
We study cyclic codes over the ring H of order 4 and characteristic 2 defined by generators and relations as H=⟨a,b∣2a=2b=0,a2=0,b2=b,ab=ba=0⟩. This is the first time that cyclic codes over a non-unitary ring are studied. Every cyclic code of length n over H is uniquely determined by the data of an ordered pair of binary cyclic codes of length n. We characterize self-dual, quasi-self-dual, and linear
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Multi-Criteria Decision under Uncertainty as Applied to Resource Allocation and Its Computing Implementation Mathematics (IF 2.4) Pub Date : 2024-03-15 Petr Iakovlevitch Ekel, Matheus Pereira Libório, Laura Cozzi Ribeiro, Mateus Alberto Dorna de Oliveira Ferreira, Joel Gomes Pereira Junior
This research addresses the problem of multi-objective resource allocation or resource deficits, offering robust answers to planning decisions that involve the elementary question: “How is it done?”. The solution to the problem is realized using the general scheme of multi-criteria decision-making in uncertain conditions. The bases of the proposed scheme are associated with the possibilistic approach
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A Type of Interpolation between Those of Lagrange and Hermite That Uses Nodal Systems Satisfying Some Separation Properties Mathematics (IF 2.4) Pub Date : 2024-03-15 Elías Berriochoa, Alicia Cachafeiro, Héctor García Rábade, José Manuel García-Amor
In this paper, we study a method of polynomial interpolation that lies in-between Lagrange and Hermite methods. The novelty is that we use very general nodal systems on the unit circle as well as on the bounded interval only characterized by a separation property. The way in which we interpolate consists in considering all the nodes for the prescribed values and only half for the derivatives. Firstly
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Research on Improved Differential Evolution Particle Swarm Hybrid Optimization Method and Its Application in Camera Calibration Mathematics (IF 2.4) Pub Date : 2024-03-15 Xinyu Sha, Fucai Qian, Hongli He
The calibration of cameras plays a critical role in close-range photogrammetry because the precision of calibration has a direct effect on the quality of results. When handling image capture using a camera, traditional swarm intelligence algorithms such as genetic algorithms and particle swarm optimization, in conjunction with Zhang’s calibration method, frequently face difficulties regarding local
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Best Decision-Making on the Stability of the Smoke Epidemic Model via Z-Numbers and Aggregate Special Maps Mathematics (IF 2.4) Pub Date : 2024-03-15 Donal O’Regan, Safoura Rezaei Aderyani, Reza Saadati
The present paper considers a fractional-order smoke epidemic model. We apply fuzzy systems and probability theory to make the best decision on the stability of the smoking epidemic model by using a new class of controllers powered by special functions to effectively generalize Ulam-type stability problems. Evaluation of optimal controllability and maximal stability is the new issue. This different
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GA-CatBoost-Weight Algorithm for Predicting Casualties in Terrorist Attacks: Addressing Data Imbalance and Enhancing Performance Mathematics (IF 2.4) Pub Date : 2024-03-11 Yuxiang He, Baisong Yang, Chiawei Chu
Terrorism poses a significant threat to international peace and stability. The ability to predict potential casualties resulting from terrorist attacks, based on specific attack characteristics, is vital for protecting the safety of innocent civilians. However, conventional data sampling methods struggle to effectively address the challenge of data imbalance in textual features. To tackle this issue
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Machine Learning Application of Generalized Gaussian Radial Basis Function and Its Reproducing Kernel Theory Mathematics (IF 2.4) Pub Date : 2024-03-12 Himanshu Singh
Gaussian Radial Basis Function Kernels are the most-often-employed kernel function in artificial intelligence for providing the optimal results in contrast to their respective counterparts. However, our understanding surrounding the utilization of the Generalized Gaussian Radial Basis Function across different machine learning algorithms, such as kernel regression, support vector machines, and pattern
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Key Backup and Recovery for Resilient DID Environment Mathematics (IF 2.4) Pub Date : 2024-03-12 Jihwan Kim, Pyung Kim, Younho Lee, Daeseon Choi
This paper delves into the advantages of authentication algorithms employing self-sovereign identity, highlighting a reduced communication overhead and the elimination of single points of failure. However, it acknowledges the vulnerability of digital wallets to real-world issues like loss or theft. To address these challenges, we propose an efficient key backup and recovery protocol based on the FROST
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Direction of Arrival Estimation Method Based on Eigenvalues and Eigenvectors for Coherent Signals in Impulsive Noise Mathematics (IF 2.4) Pub Date : 2024-03-12 Junyan Cui, Wei Pan, Haipeng Wang
In this paper, a Toeplitz construction method based on eigenvalues and eigenvectors is proposed to combine with traditional denoising algorithms, including fractional low-order moment (FLOM), phased fractional low-order moment (PFLOM), and correntropy-based correlation (CRCO) methods. It can improve the direction of arrival (DOA) estimation of signals in impulsive noise. Firstly, the algorithm performs
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Hyperstability for a Generalized Class of Pexiderized Functional Equations on Monoids via Páles’ Approach Mathematics (IF 2.4) Pub Date : 2024-03-13 Rashad M. Asharabi, Muaadh Almahalebi
In this paper, we deduce some hyperstability results for a generalized class of homogeneous Pexiderized functional equations, expressed as ∑ρ∈Γfxρ.y=ℓf(x)+ℓg(y), x,y∈M, which is inspired by the concept of Ulam stability. Indeed, we prove that function f that approximately satisfies an equation can, under certain conditions, be considered an exact solution. Domain M is a monoid (semigroup with a neutral
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Vibration Characteristics of a Functionally Graded Viscoelastic Fluid-Conveying Pipe with Initial Geometric Defects under Thermal–Magnetic Coupling Fields Mathematics (IF 2.4) Pub Date : 2024-03-13 Yao Ma, Zhong-Min Wang
In this study, the Kevin–Voigt viscoelastic constitutive relationship is used to investigate the vibration characteristics and stability of a functionally graded viscoelastic(FGV) fluid-conveying pipe with initial geometric defects under thermal–magnetic coupling fields. First, the nonlinear dimensionless differential equations of motion are derived by applying Timoshenko beam theory. Second, by solving
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Power Factor Modelling and Prediction at the Hot Rolling Mills’ Power Supply Using Machine Learning Algorithms Mathematics (IF 2.4) Pub Date : 2024-03-13 Manuela Panoiu, Caius Panoiu, Petru Ivascanu
The power supply is crucial in the present day due to the negative impacts of poor power quality on the electric grid. In this research, we employed deep learning methods to investigate the power factor, which is a significant indicator of power quality. A multi-step forecast was developed for the power factor in the power supply installation of a hot rolling mill, extending beyond the horizontal line
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REFS-A Risk Evaluation Framework on Supply Chain Mathematics (IF 2.4) Pub Date : 2024-03-13 István Mihálcz, Zsolt T. Kosztyán
Large, powerful corporations were formerly solely and exclusively responsible for supplies, manufacturing, and distribution; however, the supply chain has undergone significant transformations over the last half-century. Almost all supply chain processes are currently outsourced, owing to the initiatives of cutting-edge, contemporary businesses. According to a compilation of studies, analysts, and
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Gradient Ricci Solitons on Spacelike Hypersurfaces of Lorentzian Manifolds Admitting a Closed Conformal Timelike Vector Field Mathematics (IF 2.4) Pub Date : 2024-03-13 Norah Alshehri, Mohammed Guediri
In this article, we investigate Ricci solitons occurring on spacelike hypersurfaces of Einstein Lorentzian manifolds. We give the necessary and sufficient conditions for a spacelike hypersurface of a Lorentzian manifold, equipped with a closed conformal timelike vector field ξ¯, to be a gradient Ricci soliton having its potential function as the inner product of ξ¯ and the timelike unit normal vector
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Loss-Averse Supply Chain Coordination with a Revenue-Sharing Contract Mathematics (IF 2.4) Pub Date : 2024-03-13 Ming Wu, Xin Li, Yuhao Chen
As economic fluctuations and market uncertainty intensify, supply chain members face enormous challenges. To explore the role of revenue-sharing contracts in supply chain members with different risk preferences, we study the risk-averse two-stage supply chain coordination in a revenue-sharing contract under three different scenarios: the supplier is risk-averse and the retailer is risk-neutral, or
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Calculating Insurance Claim Reserves with an Intuitionistic Fuzzy Chain-Ladder Method Mathematics (IF 2.4) Pub Date : 2024-03-13 Jorge De Andrés-Sánchez
Estimating loss reserves is a crucial activity for non-life insurance companies. It involves adjusting the expected evolution of claims over different periods of active policies and their fluctuations. The chain-ladder (CL) technique is recognized as one of the most effective methods for calculating claim reserves in this context. It has become a benchmark within the insurance sector for predicting
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An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem Mathematics (IF 2.4) Pub Date : 2024-03-11 Qi Zhang, Bin Xu, Man Yao, Jiacun Wang, Xiwang Guo, Shujin Qin, Liang Qi, Fayang Lu
In the context of sustainable development strategies, the recycling of discarded products has become increasingly important with the development of electronic technology. Choosing the human–robot collaborative disassembly mode is the key to optimizing the disassembly process and ensuring maximum efficiency and benefits. To solve the problem of human–robot cooperative parallel dismantling line balance
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Optimizing the Economic Order Quantity Using Fuzzy Theory and Machine Learning Applied to a Pharmaceutical Framework Mathematics (IF 2.4) Pub Date : 2024-03-11 Kalaiarasi Kalaichelvan, Soundaria Ramalingam, Prasantha Bharathi Dhandapani, Víctor Leiva, Cecilia Castro
In this article, we present a novel methodology for inventory management in the pharmaceutical industry, considering the nature of its supply chain. Traditional inventory models often fail to capture the particularities of the pharmaceutical sector, characterized by limited storage space, product degradation, and trade credits. To address these particularities, using fuzzy logic, we propose models
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Pinning Event-Triggered Scheme for Synchronization of Delayed Uncertain Memristive Neural Networks Mathematics (IF 2.4) Pub Date : 2024-03-11 Jiejie Fan, Xiaojuan Ban, Manman Yuan, Wenxing Zhang
To reduce the communication and computation overhead of neural networks, a novel pinning event-triggered scheme (PETS) is developed in this paper, which enables pinning synchronization of uncertain coupled memristive neural networks (CMNNs) under limited resources. Time-varying delays, uncertainties, and mismatched parameters are all considered, which makes the system more interpretable. In addition
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Enhancing Arabic Sign Language Interpretation: Leveraging Convolutional Neural Networks and Transfer Learning Mathematics (IF 2.4) Pub Date : 2024-03-11 Saad Al Ahmadi, Farah Muhammad, Haya Al Dawsari
In a world essentializing communication for human connection, the deaf community encounters distinct barriers. Sign language, their main communication method is rich in hand gestures but not widely understood outside their community, necessitating interpreters. The existing solutions for sign language recognition depend on extensive datasets for model training, risking overfitting with complex models
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New Criteria for Oscillation of Advanced Noncanonical Nonlinear Dynamic Equations Mathematics (IF 2.4) Pub Date : 2024-03-12 Taher S. Hassan, Rami Ahmad El-Nabulsi, Naveed Iqbal, Amir Abdel Menaem
In this study, novel criteria are derived to ensure the oscillation of solutions in nonlinear advanced noncanonical dynamic equations. The obtained results are reminiscent of the criteria proposed by Hille and Ohriska for canonical dynamic equations. Additionally, this paper addresses a previously unresolved issue found in numerous existing works in the literature on advanced dynamic equations. This
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Two-Age-Structured COVID-19 Epidemic Model: Estimation of Virulence Parameters through New Data Incorporation Mathematics (IF 2.4) Pub Date : 2024-03-12 Cristiano Maria Verrelli, Fabio Della Rossa
The COVID-19 epidemic has required countries to implement different containment strategies to limit its spread, like strict or weakened national lockdown rules and the application of age-stratified vaccine prioritization strategies. These interventions have in turn modified the age-dependent patterns of social contacts. In our recent paper, starting from the available age-structured real data at the
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Transfer Learning with ResNet3D-101 for Global Prediction of High Aerosol Concentrations Mathematics (IF 2.4) Pub Date : 2024-03-12 Dušan P. Nikezić, Dušan S. Radivojević, Ivan M. Lazović, Nikola S. Mirkov, Zoran J. Marković
In order to better predict the high aerosol concentrations associated with air pollution and climate change, a machine learning model was developed using transfer learning and the segmentation process of global satellite images. The main concept of transfer learning lies on convolutional neural networks and works by initializing the already trained model weights to better adapt the weights when the
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Stability Analysis of a Delayed Paranthrene tabaniformis (Rott.) Control Model for Poplar Forests in China Mathematics (IF 2.4) Pub Date : 2024-03-12 Meiyan Wang, Leilei Han, Yuting Ding
Forest pests and diseases can diminish forest biodiversity, damage forest ecosystem functions, and have an impact on water conservation. Therefore, it is necessary to analyze the interaction mechanism between plants and pests. In this paper, the prevention and control of a specific pest—namely the larva of Paranthrene tabaniformis (Rott.) (hereinafter referred to as larva)—are studied. Based on the
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Forward Selection of Relevant Factors by Means of MDR-EFE Method Mathematics (IF 2.4) Pub Date : 2024-03-12 Alexander Bulinski
The suboptimal procedure under consideration, based on the MDR-EFE algorithm, provides sequential selection of relevant (in a sense) factors affecting the studied, in general, non-binary random response. The model is not assumed linear, the joint distribution of the factors vector and response is unknown. A set of relevant factors has specified cardinality. It is proved that under certain conditions
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Sea Shield: A Blockchain Technology Consensus to Improve Proof-of-Stake-Based Consensus Blockchain Safety Mathematics (IF 2.4) Pub Date : 2024-03-12 Sana Naz, Scott Uk-Jin Lee
In a blockchain network, a rule set called consensus mechanism is used to create and finalize a block. In a proof-of-stake (PoS), consensus-based blockchain network, nodes become validators, minters, or stakeholders’ nodes to complete the consensus mechanism. In these networks, when a node becomes a validator node, its details need to be saved because the details of the validators are used in the network
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Improving Adversarial Robustness of Ensemble Classifiers by Diversified Feature Selection and Stochastic Aggregation Mathematics (IF 2.4) Pub Date : 2024-03-12 Fuyong Zhang, Kuan Li, Ziliang Ren
Learning-based classifiers are found to be vulnerable to attacks by adversarial samples. Some works suggested that ensemble classifiers tend to be more robust than single classifiers against evasion attacks. However, recent studies have shown that this is not necessarily the case under more realistic settings of black-box attacks. In this paper, we propose a novel ensemble approach to improve the robustness
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Deriving Exact Mathematical Models of Malware Based on Random Propagation Mathematics (IF 2.4) Pub Date : 2024-03-12 Rodrigo Matos Carnier, Yue Li, Yasutaka Fujimoto, Junji Shikata
The advent of the Internet of Things brought a new age of interconnected device functionality, ranging from personal devices and smart houses to industrial control systems. However, increased security risks have emerged in its wake, in particular self-replicating malware that exploits weak device security. Studies modeling malware epidemics aim to predict malware behavior in essential ways, usually
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An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation Mathematics (IF 2.4) Pub Date : 2024-03-12 Shujin Qin, Xinkai Xie, Jiacun Wang, Xiwang Guo, Liang Qi, Weibiao Cai, Ying Tang, Qurra Tul Ann Talukder
The growing emphasis on ecological preservation and natural resource conservation has significantly advanced resource recycling, facilitating the realization of a sustainable green economy. Essential to resource recycling is the pivotal stage of disassembly, wherein the efficacy of disassembly tools plays a critical role. This work investigates the impact of disassembly tools on disassembly duration
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Impact of Demographic Developments and PCV13 Vaccination on the Future Burden of Pneumococcal Diseases in Germany—An Integrated Probabilistic Differential Equation Approach Mathematics (IF 2.4) Pub Date : 2024-03-08 Myka Harun Sarajan, Kahkashan Mahreen, Patrizio Vanella, Alexander Kuhlmann
Streptococcus pneumonia is the primary cause of morbidity and mortality in infants and children globally. Invasive pneumococcal disease (IPD) incidence is affected by various risk factors such as age and comorbidities. Additionally, this bacterium is a major cause of community-acquired pneumonia (CAP), leading to higher rates of hospitalization, especially among older adults. Vaccination with pneumococcal
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Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification Mathematics (IF 2.4) Pub Date : 2024-03-08 Tamás Katona, Gábor Tóth, Mátyás Petró, Balázs Harangi
Chest X-ray evaluation is challenging due to its high demand and the complexity of diagnoses. In this study, we propose an optimized deep learning model for the multi-label classification of chest X-ray images. We leverage pretrained convolutional neural networks (CNNs) such as VGG16, ResNet 50, and DenseNet 121, modifying their output layers and fine-tuning the models. We employ a novel optimization
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An Agent-Based Transmission Model of Major Infectious Diseases Considering Places: Forecast and Control Mathematics (IF 2.4) Pub Date : 2024-03-10 Jingwen Zhang, Lili Rong, Yufan Gong
This paper enhances the agent model of ordinary individuals by incorporating the roles of places in the transmission, prevention, and control in the process, establishing a fundamental connection between these two types of agents through individual travel rules. The impact of real-world prevention and control measures on regional epidemic transmission is studied based on this model. Firstly, based
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Bivariate Polynomial Matrix and Smith Form Mathematics (IF 2.4) Pub Date : 2024-03-10 Licui Zheng, Tao Wu, Jinwang Liu
Matrix equivalence plays a pivotal role in multidimensional systems, which are typically represented by multivariate polynomial matrices. The Smith form of matrices is one of the important research topics in polynomial matrices. This article mainly investigates the Smith forms of several types of bivariate polynomial matrices and has successfully derived several necessary and sufficient conditions
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Algorithms for the Reconstruction of Genomic Structures with Proofs of Their Low Polynomial Complexity and High Exactness Mathematics (IF 2.4) Pub Date : 2024-03-11 Konstantin Gorbunov, Vassily Lyubetsky
The mathematical side of applied problems in multiple subject areas (biology, pattern recognition, etc.) is reduced to the problem of discrete optimization in the following mathematical method. We were provided a network and graphs in its leaves, for which we needed to find a rearrangement of graphs by non-leaf nodes, in which the given functional reached its minimum. Such a problem, even in the simplest
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Inference for Parameters of Exponential Distribution under Combined Type II Progressive Hybrid Censoring Scheme Mathematics (IF 2.4) Pub Date : 2024-03-11 Kyeongjun Lee
In recent years, various forms of progressive hybrid censoring schemes (PHCS) have gained significant traction in survival and reliability analysis studies due to their versatility. However, these PHCS variants are often characterized by complexity stemming from the multitude of parameters involved in their specification. Consequently, the primary objective of this paper is to propose a unified approach