Understanding deep reinforcement learning: Enhancing explainable decision-making in optical networks
Deep Reinforcement Learning (DRL) has emerged as a promising approach for solving complex tasks in optical networks. However, its black-box nature poses challenges for interpretability.
Jorge A. Bermúdez +4 more
doaj +1 more source
Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep +4 more
wiley +1 more source
Spectrum Defragmentation in Elastic Optical Networks: Two Approaches With Metaheuristics
This work introduces two novel approaches for the selection of active lightpaths that perform a spectrum defragmentation process in elastic optical networks (EONs).
Enrique J. Davalos +5 more
doaj +1 more source
Elastic optical networks [PDF]
Artykuł przybliża koncepcję elastycznej sieci optycznej i charakterystyczne zagadnienia związane z jej implementacją. Przedstawiono w nim standardy styków optycznych sieci Ethernet 40 Gbit/s i 100 Gbit/s zawarte w dokumencie IEEE 802.3ba.
Lasoń, A., Biernacka, E.
core
XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei +4 more
wiley +1 more source
A Resource and Task Scheduling Based Multi-Objective Optimization Model and Algorithms in Elastic Optical Networks. [PDF]
Wang Y, Yang Q, Guo X.
europepmc +1 more source
3D‐Printed Gradient Shape‐Memory Strain Sensors With Rewritable Gauge Factors
A 3D‐printed shape‐memory strain sensor combines thermomechanical programming with gradient architectural design. Preset strain rewrites the gauge factor (GF), while the gradient geometry amplifies the response through strain redistribution. Reprogrammable sensitivity enables the same sensor to detect weak pulse signals and monitor large‐amplitude ...
Xuan Zhang +10 more
wiley +1 more source
Versatile guanosine‐quadruplex (GQ) hydrogels are developed as dynamic biomatrices for cell culture. These scaffolds are fabricated under mild aqueous conditions, present improved stability, tunable mechanical properties within physiological ranges; fibrillar, porous microstructure, ion conductivity, and cytocompatibility.
Neha Thakur +10 more
wiley +1 more source
Multiple-period planning of Internet Protocol-over-Elastic Optical Networks
In view of both the growing dynamic traffic and increasing costs, in future, network operators will have to adopt a multi-period network planning technique that aims to jointly account for the upgrade of both the network, and the optical and the IP edges.
Sridhar Iyer, Shree Prakash Singh
doaj +1 more source
Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong +16 more
wiley +1 more source

