Results 91 to 100 of about 12,894,975 (292)

Emergence of Unconventional Magnetic Order in Strain‐Engineered RuO2/TiO2 Superlattices

open access: yesAdvanced Science, EarlyView.
Epitaxial strain activates unconventional magnetism in rutile RuO2, absent in bulk or relaxed RuO2. Polarized neutron reflectometry with atomic‐layer resolution directly reveals finite magnetization confined to RuO2 layers in fully strained RuO2/TiO2 superlattices on TiO2 (110).
Seung Gyo Jeong   +12 more
wiley   +1 more source

Semi-Markov decision process based congestion control algorithm for video transmission

open access: yesTongxin xuebao, 2014
Due to the problem that the congestion control algorithm of transmission control protocol (TCP) cannot meet the requirements of quality of experience for Internet video transmission, a semi-Markov decision process based conges-tion control algorithm for ...
Bo TIAN, Yi-min YANG, Shu-ting CAI
doaj   +2 more sources

Modelling the purchase dynamics of insurance customers using Markov chains

open access: yes, 2005
This paper considers how various types of Markov chains can be used to help forecast the purchase behaviour of customers. The models are used in a case study of the purchase behaviour of the customers of a major insurance company.
Thomas, Lyn C.   +3 more
core   +1 more source

Emergency Load-Shedding Decision for Frequency Stability of New Energy Power System Based on Constrained Markov Decision Process

open access: yesEnergies
Renewable energy systems dominated by powered electronic devices generally exhibit weak disturbance tolerance and limited grid-support capability. Following the blocking of a flexible DC transmission system, emergency load shedding in renewable-rich grid
Qiushi Fang   +8 more
doaj   +1 more source

Creativity and Markov Decision Processes

open access: yesCoRR
Creativity is already regularly attributed to AI systems outside specialised computational creativity (CC) communities. However, the evaluation of creativity in AI at large typically lacks grounding in creativity theory, which can promote inappropriate attributions and limit the analysis of creative behaviour.
Guckelsberger Christian   +2 more
openaire   +6 more sources

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

open access: yesAdvanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang   +6 more
wiley   +1 more source

Using Markov Decision Process Model for Sustainability Assessment in Industry 4.0

open access: yesIEEE Access
The manufacturing industry is facing increasing challenges to improve sustainability performance by using Industry 4.0 technologies like big data analytics, the internet of things, and digital twins, considering their potentials.
Majid Sodachi   +2 more
doaj   +1 more source

Hardware‐Native Gaussian Sampling With Probabilistic Ising Machines for Modern Communication Paradigms

open access: yesAdvanced Science, EarlyView.
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues   +10 more
wiley   +1 more source

Markov-Decision-Process-Assisted Consumer Scheduling in a Networked Smart Grid

open access: yesIEEE Access, 2017
Many recently built residential houses and factories are equipped with facilities for converting energy from green sources, such as solar energy, into electricity.
Zhi Liu   +5 more
doaj   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

open access: yesAdvanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho   +5 more
wiley   +1 more source

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