Results 161 to 170 of about 80,027 (267)

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Optimized bio-signal reconstruction and watermarking via enhanced fractional orthogonal moments. [PDF]

Sci Rep
Hassan G, Hosny KM, Fathi IS.
europepmc   +1 more source

Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons

Communications on Pure and Applied Mathematics, Volume 79, Issue 5, Page 1151-1298, May 2026.
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley   +1 more source

A Sparse Hierarchical <i>hp</i>-Finite Element Method on Disks and Annuli. [PDF]

J Sci Comput
Papadopoulos IPA, Olver S.
europepmc   +1 more source

A Structure‐Based Benchmarking Suite for Quantum Learning

Concurrency and Computation: Practice and Experience, Volume 38, Issue 10, May 2026.
ABSTRACT The application of quantum computing to Data Processing has naturally extended into the realm of quantum machine learning. However, while numerous benchmarks exist for evaluating quantum hardware, there remains a scarcity of tailored benchmarks that assess the intrinsic performance of learning models.
Duwon Lee, Byung‐Soo Choi
wiley   +1 more source

Legendre neural network-based computational study through hybrid particle swarm optimization for fractional unsteady flow of Sutterby fluid. [PDF]

Sci Rep
Fatima A, Asjad MI, Aslam MN, Riaz MB.
europepmc   +1 more source

Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies

Engineering Reports, Volume 8, Issue 5, May 2026.
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh, Deepak Chandra Uprety, Mohd Haroon, Dyuti Banerjee, Preety Shoran, Yash Varshney, Anurag Sinha, Samarth Sinha, Shantanu Kumar Mishra   +8 more
wiley   +1 more source

TC-KAN: Time-Conditioned Kolmogorov-Arnold Networks with Time-Dependent Activations for Long-Term Time Series Forecasting. [PDF]

Sensors (Basel)
Shen Z, Fu Y, Weng L, Han K, Xu Y.
europepmc   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

International Journal for Numerical Methods in Fluids, Volume 98, Issue 5, Page 557-577, May 2026.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime, B. Després, M. A. Puscas, C. Fiorini   +3 more
wiley   +1 more source

Intrinsic Quantization of Linear Hamiltonian Systems. [PDF]

Entropy (Basel)
Accardi L, Pandiscia C.
europepmc   +1 more source