Computational complexity as a potential limitation on brain-behaviour mapping. [PDF]
Ozkirli A, Herzog MH, Jastrzębowska MA.
europepmc +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Complexity results and exact algorithms for robust knapsack problems. [PDF]
This paper studies the robust knapsack problem, for which solutions are, up to a certain point, immune to data uncertainty. We complement the works found in the literature where uncertainty affects only the profits or only the weights of the items by ...
Leus, Roel, Talla Nobibon, Fabrice
core
The neural dynamics associated with computational complexity. [PDF]
Franco JP, Bossaerts P, Murawski C.
europepmc +1 more source
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data. [PDF]
Huang L +5 more
europepmc +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
A Low-Computational-Complexity Digital Predistortion Model for Wideband Power Amplifier. [PDF]
Lu X +6 more
europepmc +1 more source
Uncertainty and computational complexity. [PDF]
Bossaerts P, Yadav N, Murawski C.
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Self-learning virtual organisms in a physics simulator: on the optimal resolution of their visual system, the architecture of the nervous system and the computational complexity of the problem. [PDF]
Zenin MS, Devyaterikov AP, Palyanov AY.
europepmc +1 more source

