Most Recent

In the present paper, we introduce a new class of positive linear operators of Szász–Kantorovich type which are generated by degenerate Hermite polynomials, where the ordinary Kantorovich average is replaced by a Riemann–Liouville...

We study practical output tracking for stochastic high-order systems with unknown time-varying powers, uncertain positive control coefficients, time-varying delays, and stochastic inverse dynamics. Relying on the symmetric property of signed-power op...

Persistent multimodal conversational memory requires unified access to textual and visual evidence across sessions, yet differences between image content and textual queries make relevant sources harder to locate. We propose DualBridgeMem, a structur...

This paper proposes an enhanced Dhole Optimization Algorithm (eDOA) for the techno-economic operation of power systems. The proposed eDOA variant improves upon the original DOA by incorporating adaptive parameter control, refined exploration–ex...

Aspect-based sentiment classification associates each target aspect with relevant polarity evidence in sentences containing competing opinion cues and syntactic dependencies. We present two architectures extending aspect-oriented relational-graph att...

Let $I(X,R)$ be the incidence algebra determined by a unital commutative coefficient ring R and a poset X all of whose intervals are finite. We show that each Jordan higher $\alpha$-derivation of $I(X,R)$, for any R-linear automorphism or anti-automorphis...

Vehicular ad hoc networks (VANETs) must balance reactive and proactive routing under high mobility and changing vehicle density. Most hybrid protocols switch modes using fixed scalar thresholds, so they cannot see the spatial shape of the network aro...

The rapid growth of Internet of Medical Things (IoMT) devices in dense hospital environments creates severe challenges for network reliability, latency, and power efficiency. Although the IEEE 802.11ax (Wi-Fi 6) standard includes features such as Tar...

Rail surface defects frequently exhibit arbitrary orientations, elongated geometries, small spatial footprints, and substantial texture-scale variation. Although oriented bounding boxes (OBBs) improve geometric localization, they do not directly addr...

Air entrained in automotive coolant reduces heat transfer and may cause pump cavitation, but traditional passive de-aeration and expansion tanks depend on gravity to cause bubbles to rise and on sufficient residence time, which makes them unsuitable...

This manuscript is concerned with a class of nonlinear uncertain evolution differential equations driven by a canonical process which is the twin of Brownian motion in the framework of uncertain theory. By using some Gronwall integral inequalities, w...

Event-based cameras have emerged as promising sensors for autonomous systems due to their high temporal resolution, low latency, and resilience to challenging illumination. However, deploying event cameras for obstacle detection requires large annota...

The exponential distribution is widely used in reliability and delay-time analysis owing to its mathematical simplicity and analytical tractability. However, its constant failure rate assumption may be restrictive for systems characterized by heterog...

In the context of intelligent Internet-of-Things (IoT) systems, security can be viewed as preserving symmetry among trusted entities, accurate physical observations, and secure digital interactions despite adversarial threats. Analyzing the security...

A possible gamma-ray excess from the Galactic halo favors dark matter with a mass of several hundred GeV. In previous work, we found that an electroweak scalar doublet is a particularly economical—and nearly uniquely selected—interpretati...

In this paper, we study the set of values of a non-negative integer parameter n for each of which a nonlinear discrete digit-counting mapping $F_n:{\mathbb{N}}^{10}\to {\mathbb{N}}^{10}$, defined by a specific formula $F_n(x_0,x_1,\dots ,x_9)=\left(f_0(n,x_0,\dots ,x_9),f_1(n,x_0,\dots ,x_{}\right)$...

National disaster-response networks must balance aggregate travel efficiency, worst-case accessibility, and the spatial concentration of operational need. This study evaluates Türkiye’s professional search-and-rescue network using geograph...

The monomiality principle provides an algebraic framework in which polynomial families can be treated operationally as ordinary monomials, with the Heisenberg–Weyl algebra underlying the corresponding raising and lowering operators. Legendre po...

Fins at large temperature differences lose heat by convection and radiation. With temperature-dependent conductivity, the nonlinear problem is usually treated numerically. Using $\lambda$-symmetries, the extended Prelle–Singer method and Lie sym...

Existing biomimetic SUV styling studies have primarily addressed visual resemblance, semantic association, and geometric form transformation, whereas the continuity of structural relations during product-oriented form adaptation has received comparat...

Recently, a new class of operators called $⟨\mathbf{A}⟩$-normal operators was introduced. These operators satisfy the identity $\mathbf{A}\mathcal{T}{\mathcal{T}}^{{♯}_{\mathbf{A}}}=\mathbf{A}{\mathcal{T}}^{{♯}_{\mathbf{A}}}\mathcal{T}$, where $\mathbf{A}$ is a positive semi-definite operator on a complex Hilbert space $\mathcal{K}$, $\mathcal{T}$ is a bounded linear operator that...

Post-quantum migration for constrained IoT devices is usually assessed one primitive at a time, so little is known about how a complete protocol behaves once deployed. This study examines a post-quantum authenticated-encryption construction combining...

Autoregressive Transformer translation relies on a target prefix and does not directly condition each prediction on an ungenerated target suffix. This study evaluates how complementary decoding directions, linguistic guidance, and pretrained source r...

Machine-learning research on software vulnerability detection measures progress against a small set of public benchmark datasets, treated as a shared yardstick for comparing models. This approach rests on the untested premise that benchmarks agree: i...

Modeling and forecasting online illegal transactions require representations of recurrent temporal variation, uneven spatial activity, and changing local conditions. This paper studies a framework consisting of spatio-temporal assessment, adaptive pe...

Recently, Graph Neural Networks (GNNs) have demonstrated remarkable success in graph-based learning tasks. However, existing deep GNN (DGNN) architectures and Neural Architecture Search (NAS) frameworks remain limited due to tightly coupled propagati...

Personalized learning requires systematic approaches for representing, analyzing, and quantifying learner characteristics and educational processes. This study presents a framework for analyzing and quantifying symmetry in personalized learning throu...

To address the design requirements of structural lightweighting and multi-performance coordination for UAV frames, an optimization method combining topology optimization and the NSGA-III multi-objective evolutionary algorithm is proposed. Twelve kind...

Coordinating whole-body shape generation, geometric object caging, and collision-aware transportation remains challenging for hyper-redundant robots. This study presents a framework integrating Transformer-based backbone prediction, cage-preserving g...

Georgiev’s analysis of a freely precessing spin correctly emphasizes that the Mandelstam–Tamm quantity $\mathsf{\Delta }T=\mathsf{\Delta }\widehat{A}/|\mathrm{d}⟨\widehat{A}⟩/\mathrm{d}t|$ is not the variance of a time operator. He concludes, however, that its divergence near the...

Bilateral (Z₂) symmetry produces perceptual aliasing in 2D LiDAR localization, yet whether it predicts localization failure and its direction is uncharacterized. Linking the bilateral symmetry of a laser scan to the anisotropy of the scan-matching in...

Takagi–Sugeno–Kang (TSK) fuzzy classifiers have achieved notable success in pattern recognition and data mining due to their combination of approximation capability and model interpretability. However, existing TSK classifiers predominant...

We study the undirected power congruence graph $G_n^k\left(\{p,q\}\right)$ on vertex set $V=\{0,1,\dots ,n-1\}$ in which two distinct vertices $a,b$ are adjacent whenever $a^k\equiv b^k\left(\mathrm{mod}p\right)$ or $a^k\equiv b^k\left(\mathrm{mod}q\right)$, where $p,q$ are distinct primes with $pq<n$ and $k\ge 1$...

Airfoil profiles form the foundation of flight performance by determining the balance between lift and drag forces. Computational Fluid Dynamics (CFD) analyses enable a detailed examination of the velocity and pressure distributions around these prof...

Effective transportation of heat and mass in nanofluids is vital for enhancing energy transfer and thermal management. In this study, the Cattaneo–Christov double-diffusive MHD flow of a Maxwell ternary hybrid nanofluid through a porous medium...

Financial time series are characterized by high volatility, nonstationarity, nonlinear dynamics, and multiscale fluctuations, which pose significant challenges to accurate stock price forecasting. In multivariate financial forecasting, financial vari...

Background and Aim: Goalkeeper performance relies on bilateral upper-limb function. In amputee football, unilateral upper-limb absence asymmetrically reduces the defendable area, creating a task-specific biomechanical constraint. This study aimed to...

The thermal runaway propagation in lithium-ion battery modules poses a serious threat to the safety of electric vehicles and energy storage systems. This study experimentally evaluated the thermal propagation suppression performance of five insulatin...

Transparent curved surfaces of glass packaging bottles produce structural responses that can obscure local appearance asymmetries associated with defects, complicating their segmentation across different scales and shapes. To address these challenges...

Several sources may produce sequential evidence even though only an unknown source is conditionally valid at each time. We study this problem when the valid source can change predictably at most a prescribed number of times. Other sources are unrestr...

Partial shading conditions (PSCs) produce multiple peaks in photovoltaic (PV) power–voltage curves, which can trap maximum power point tracking (MPPT) controllers at local optima. This study introduces a Dream Optimization Algorithm (DOA)-deriv...

This study aims to propose a self-adaptive viscosity-type algorithm with inertial effects to find the common solutions of the split mixed equilibrium, split variational inclusion and common fixed point problems associated with nonexpansive mappings....

Nonlinear equations are challenging problems arising in numerous applications. A widely adopted strategy is to transform nonlinear systems into equivalent global optimization problems whose objective function achieves its global minimum at the soluti...

Physics-based nowcasting cascades for urban air mobility (UAM) must deliver 30 min wind forecasts on a 5 min decision cycle, yet their dominant error is not the physics but the statistics of their own advection operator: motion fields estimated from...

Reared-apart twin designs offer a powerful means for investigating the relative contributions of genetic and environmental factors to individual differences in physical and behavioral traits. The current study analyses data from the Minnesota Study o...

In this research work, we study different mathematical models that are capable of describing the particle diffusion phenomena in fluid flows. One-dimensional Cartesian models are defined to analyze the diffusion phenomena while they occur in a backgr...

Product carbon footprint estimation can support early screening in the food and beverage sector, but life cycle assessment requires detailed inventory data that are often unavailable. Machine learning can estimate reference-food impacts from food des...

Interpretable analysis of affect-related artwork scores requires an explicit link between visual attributes and model outputs. This study develops a CLIP-guided neuro-fuzzy framework that maps eight painting-domain attributes to four computational sc...

Recently we started building a bridge between two cases of Langlands duality. The latter is one of the most influential topics in mathematical research. It has many different appearances and influential subtopics. Yet there is a topic that, until now...

Image encryption requires effective local transformation together with reliable propagation across image blocks. This study proposes a block-based encryption scheme that transforms a symmetric circulant graph into a key-dependent asymmetric directed...