2026 October - 38 articles
Safety-aligned language models often encode that a request is harmful yet still comply with it. We turn this gap between internal recognition and observable behavior into an inference-time defense. The proposed activation-steering method uses a multi...
Wave equations with Caputo fractional damping produce power-law attenuation, but their non-local memory term is costly, and stability proofs for nonlinear variants involve long, error-prone algebra. We discretise a one-dimensional wave equation with...
This work presents a new graphical method for plotting the residue loci of linear time-invariant control systems as the gain varies. While the classical root locus shows the trajectory of the closed-loop poles, it does not reveal the relative weight...
Against the background of global carbon neutrality goals and urban ecological transformation, traditional two-dimensional green-space indicators cannot fully reflect spatial–ecological benefits, and conventional 3D green-space calculation and l...
This paper examines the robustness of circular neighbor-balanced designs (CNBDs), a significant issue in experimental design when observations are missing and errors are correlated. Treatments may affect not only the designated unit but also its adja...
This study compares different methane chemical combustion mechanisms with varying levels of complexity. The mechanisms studied include the widely used and accepted global mechanism WD2 with 2 reactions, and skeletal and detailed mechanisms SG35, Z42,...
Internet of Things (IoT) traffic shifts as device communication patterns evolve, potentially reducing the reliability of static intrusion detectors. Existing drift monitors detect distributional changes but do not inherently distinguish shifts requir...
This paper proposes, implements, and tests a neural-network method based on orthogonal Laguerre polynomials for the numerical solution of the Cauchy problem for a singular nonlinear Lane–Emden equation with a variable-order fractional derivativ...
We consider the Cauchy problem for a scalar linear three-dimensional difference equation with variable coefficients and a fixed, finite rectangular stencil in a semi-infinite parallelepiped. Prescribed data occupy the complement of the unknown interi...
Epilepsy digital twins require patient-specific computational models that evolve with longitudinal observations and support prospective inference. We conducted a scoping review of complementary patient-specific modeling and longitudinal or remote EEG...
The increasing electricity demand of educational buildings requires the development of intelligent approaches to power supply management that improve energy efficiency and ensure the reliable operation of electrical networks. This study aims to devel...
This study considers a two-dimensional dynamic problem of linear elasticity formulated directly in terms of the stress tensor components. A coupled system of differential equations for two normal stress components and one shear stress component is de...
Computational modeling has become an important tool for investigating complex cardiovascular conditions and supporting the development and evaluation of endovascular treatments. In thoracic aortic disease, numerical approaches provide tools for exami...
In this study, an integrated finite-difference and deep neural network analysis of the simultaneous multiphysics of coupled momentum, heat, nanoparticle, and pollutant transport in a Sutterby tri-hybrid nanofluid over a quadratically radiative Riga s...
The autonomous navigation of Unmanned Ground Vehicles (UGVs) with omnidirectional traction demands precise dynamic models capable of capturing complex phenomena involving friction and lateral slip. This article presents a methodological benchmark eva...
This study examines whether higher temporal resolution and more flexible model specification improve short-horizon forecasting of aggregate U.S. listed-real-estate exchange-traded fund returns. Using release-aware daily, monthly, and quarterly predic...
Ticket-based queueing systems are widely adopted in the service industry and government sectors for managing customer flow. In such systems, each arriving customer receives a numbered ticket that indicates the number currently being served. Unlike co...
Sparse-byte error-control codes were originally developed mainly for protecting wide-I/O semiconductor memories, whereas their application to communication systems has received considerably less attention. In communication receivers, sparse-byte erro...
In this study, an analytical and dynamical study of the classical Kolmogorov–Petrovsky–Piskunov (KPP) equation is carried out by means of the improved generalized Riccati equation mapping (IGREM) method. An appropriate traveling-wave tran...
Physics-informed neural networks (PINNs) have developed from residual constrained neural approximations into a heterogeneous family of scientific computing formulations, combining governing equations, observations, numerical operators, and optimizati...
Sweeping gas membrane distillation (SGMD) is a thermally driven desalination process that uses a membrane to remove salts from seawater, achieving high salt-rejection rates at relatively low operating temperatures. Considering the coupled nature of h...
The transport of He, O, and Ar ions with energies of 10, 25, 50, and 100 keV in a 500 nm thick gallium nitride layer was investigated by using Monte Carlo simulations. The calculations were performed with SRIM/TRIM and Geant4. Depth profiles of ioniz...
This paper investigates a Schrödinger-type fractional-order nonlinear equation known as the Chen–Lee–Liu equation. The fractional properties of the model are described by means of the reduced M-fractional derivative. Using a travelin...
Boundary uncertainty arises when a continuous insurance-based severity ratio is converted into ordered damage states using crisp thresholds, causing nearly identical claims to receive different labels solely because they fall on opposite sides of a d...
This paper formulates beamforming synthesis as a multi-objective, multi-variable optimization problem to minimize the number of array elements while meeting constraints on half-power beamwidth, sidelobe level, and radiation attenuation in undesired d...
This paper proposes a Chebyshev spectral collocation method for nonlinear Volterra–Hammerstein integral equations of the second kind with smooth kernels. We approximate the unknown solution using a finite Chebyshev expansion and place collocati...
Pressure relief in high-pressure polyethylene processes involves dense, strongly non-ideal ethylene-based fluids. A transient real-fluid model was developed for the single-phase discharge of ethylene/vinyl acetate (VA) mixtures by coupling adiabatic...
Corporate adoption of Generative Artificial Intelligence (GenAI) is routinely managed as a problem of technological scaling: firms decide how much to use the tool while treating the quality of the underlying knowledge base as a given feature of the e...
Accurate static-thrust prediction is essential for early-stage unmanned aerial vehicle (UAV) propulsion assessment, but computational fluid dynamics (CFD) predictions for small propellers can be sensitive to mesh resolution, domain size, boundary tre...
Machine-learning intrusion detection on multi-attack Internet-of-Things (IoT) datasets is often reported through aggregate metrics that can hide near-failure on rare attack classes, and through single hand-picked feature subsets whose stability is se...
Paschen’s curves are essential for understanding the behavior of gas insulation systems in uniform field gaps under different pressure conditions. However, most real-world insulation systems generate non-uniform fields. For electrode geometries...
Emotion recognition from electroencephalography (EEG) signals is a central problem in affective computing. This study benchmarks seven classical machine learning models—XGBoost, LightGBM, Random Forest, Support Vector Machine (SVM), K-Nearest N...
We evaluated whether predictive alerts improve recovery in DriftGuard-SLA, a bounded controller for the Kubernetes-based DeathStarBench Hotel Reservation application. A logistic model trained on 35 monitoring runs was frozen before evaluation in 350...
This paper presents an architecture for integrating artificial intelligence (AI) functionalities into a chaos-based image encryption algorithm employing a Fibonacci matrix. The proposed approach aims to introduce dynamic behavior into the encryption...
Decompression of dense and supercritical CO2 containing impurities was investigated using an equilibrium isentropic model coupled with NIST REFPROP 10 and GERG-2008. The pressure plateau was determined from the intersection of the isentropic path and...
The median survival time is widely reported because it is robust and easily interpretable. Under right censoring, however, obtaining a confidence interval with two finite endpoints can be difficult. We present a Monte Carlo comparison of four confide...
The first boundary value problem for a biharmonic equation in an L-shaped domain is considered. An algorithm for finding an approximate solution to this problem based on Morley’s nonconforming finite element method has been created. Calculation...
The paper presents SAP.py2.0, a Python-based tool that interfaces with SAP2000 through its Open Application Programming Interface (OAPI) to automate the generation of combinatorial structural scenarios. In the field of structural health monitoring, t...
