Results 101 to 110 of about 32,551 (228)
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Design Concept for a Failover Mechanism in Distributed SDN Controllers [PDF]
Software defined networking allows the separation of the control plane and data plane in networking. It provides scalability, programmability, and centralized control. It will use these traits to reach ubiquitous connectivity.
Kong, Nathan
core +2 more sources
Record‐Wise Disaggregated Seismic Fragilities for Interconnected Systems
ABSTRACT Seismic risk assessment studies typically rely on fragility functions/curves to characterize the susceptibility of an asset or a class of assets to damage. These curves are essentially a summarization of responses evaluated on the basis of ground motions with record characteristics and intensities that may or may not be tied to a specific site
Nikolaos D. Karaferis +4 more
wiley +1 more source
In this work, an efficient graph-induced neighborhood search heuristic is proposed to address the capacitated multicommodity network design problem.
Houshan Zhang
doaj +1 more source
Performance Analysis of CA‐Polar Code for 5G‐IoT Low Power Wide Area Networks
ABSTRACT CRC‐Aided Polar (CA‐Polar) codes are the standardized channel coding scheme for control channels of 5G eMBB service class due to their capacity achieving performance. This work aims to assess the compatibility and scalability of CA‐Polar codes toward low power IoT applications coming under the domain of LPWAN.
Abhilasha Gautam +2 more
wiley +1 more source
Reinforcement Learning Enabled Nanophotonic Devices
A reinforcement learning algorithm is used to design photonic devices. The method creates metagratings and grating couplers that efficiently control both the direction and polarization of light. Further, a reinforcement learning approach is used to design in‐plane integrated photonic devices. This approach paves the way for advanced photonic components
Zi Wang +4 more
wiley +1 more source
Photonic Unitary Circuits for Quantum Information Processing
Unitary transformations are the cornerstone of quantum computing, enabling reversible manipulation of quantum states. This review evaluates photonic waveguide architectures as an evolving solution for quantum computing, exploiting the unique properties of photons. It investigates current theoretical frameworks, material platforms, and design strategies.
Kevin Zelaya +6 more
wiley +1 more source
A Novel Approach for Scalable and Sustainable 6G Networks
Hierarchical, distributed, scalable and Artificial Intelligence (AI)-based management of a massive number of network slices in different domains with the goal of zero-touch management is a major challenge for 6G networks.
Luis Blanco +5 more
doaj +1 more source
IDLB: An SDN‐Based Load‐Balancing Routing Protocol for Autonomous Satellite Constellation Networks
ABSTRACT Routing in satellite constellation networks with intersatellite links has become an important aspect to enable broadband Internet access and to integrate into terrestrial networks. However, their dynamic characteristics and large physical size require specifically tailored solutions.
Manuel M. H. Roth +4 more
wiley +1 more source
Fog-enabled Edge Learning for Cognitive Content-Centric Networking in 5G
By caching content at network edges close to the users, the content-centric networking (CCN) has been considered to enforce efficient content retrieval and distribution in the fifth generation (5G) networks.
Li, Gaolei, Li, Jianhua, Wu, Jun
core

