Results 181 to 190 of about 129,306 (313)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Fuzzy and Tile Coding Approximation Techniques for Coevolution in Reinforcement Learning
This thesis investigates reinforcement learning algorithms suitable for learning in large state space problems and coevolution. In order to learn in large state spaces, the state space must be collapsed to a computationally feasible size and then ...
Laurissa Nadia Tokarchuk +1 more
core
Generalized escape criteria for fractals via convex viscosity approximation iterations. [PDF]
Wang S +4 more
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Pricing bridges to cross a river. [PDF]
We consider a Stackelberg pricing problem in directed, uncapacitated networks. Tariffs have to be defined by an operator, the leader, for a subset of m arcs, the tariff arcs. Costs of all other arcs are assumed to be given.
Grigoriev, A +5 more
core
This paper introduces a Gegenbauer-based fractional approximation (GBFA) method for high-precision approximation of the left Riemann–Liouville fractional integral (RLFI).
Kareem T. Elgindy
core +1 more source
Differential Iterative Joint Estimation Approach for Indoor Target Localization. [PDF]
Su Z, Xu J, Hao J, Han B.
europepmc +1 more source
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
A DR-<i>ℓ</i><sub>1</sub>-PRLS Approach to Adaptive Equalization in Single-Carrier UWA Communication. [PDF]
Chen XC, Dai GQ, Shi Y, Wu FY.
europepmc +1 more source

