Results 71 to 80 of about 5,603 (273)

Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks

open access: yesIEEE Open Journal of the Communications Society
Computation offloading in Internet of Vehicles (IoV) networks is a promising technology for transferring computation-intensive and latency-sensitive tasks to mobile-edge computing (MEC) or cloud servers.
Khaled A. Alaghbari   +5 more
doaj   +1 more source

Performance Analysis of Twins4Space: Latency and Data Rates in a SpaceWire Network

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Modular Space Systems are an innovative and future‐oriented concept, offering the flexibility to adapt to diverse mission requirements. In our previous paper, we introduced the Twins4Space project, a modular and flexible architecture utilizing a SpaceWire network to connect distributed nodes.
Stefan Lindörfer   +3 more
wiley   +1 more source

Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing

open access: yesIEEE Access, 2020
With the development of electrification, automation, and interconnection of the automobile industry, the demand for vehicular computing has entered an explosive growth era.
Xin Li   +5 more
doaj   +1 more source

“Adapting for a Local Space Can be Tricky”: Designing Units for Teachers to Localize Through Phenomenon Adaptation

open access: yesScience Education, EarlyView.
ABSTRACT Learning science in the context of local phenomena and problems can be powerful for young people. Yet, designing place‐based instructional materials is resource intensive, limiting broad access. This study investigates how instructional materials designed for widespread use can support teacher localization through phenomenon adaptation ...
Emily M. Harris   +5 more
wiley   +1 more source

Optimal dynamic spectrum allocation-assisted latency minimization for multiuser mobile edge computing

open access: yesDigital Communications and Networks, 2022
Mobile Edge Computing (MEC) has been envisioned as an efficient solution to provide computation-intensive yet latency-sensitive services for wireless devices.
Yang Li   +3 more
doaj  

A Novel Deep Reinforcement Learning Approach for Dynamic Proportional‐Integral Control in Scanning Probe Microscopy

open access: yesSmall, EarlyView.
This study introduces a Parallel Integrated Control and Training System (PICTS), integrating deep reinforcement learning (DRL) with an FPGA‐based control loop to adjust proportional‐integral dynamically (P‐I) gains in real time. The DRL controller significantly reduces deflection errors (26%–90%) across diverse samples, enhancing imaging precision and ...
Ziwei Wei   +5 more
wiley   +1 more source

A grounded theory of clinical nurses’ process of coping during COVID‐19

open access: yesJournal of Clinical Nursing, EarlyView., 2021
Abstract Aims and Objectives To explore clinical nurses’ process of coping during COVID‐19 and develop a grounded theory that can be used by leaders to support clinical nurses during a disaster. Background The COVID‐19 pandemic has provoked widespread disruption to clinical nurses’ work.
Lorelli Nowell   +3 more
wiley   +1 more source

Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

open access: yesDigital Communications and Networks, 2019
The rapid growth of mobile internet services has yielded a variety of computation-intensive applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which enables mobile terminals to offload computation tasks to servers located at the
Liang Huang   +4 more
doaj  

A Dynamic Offloading Algorithm for Mobile Computing

open access: yesIEEE Transactions on Wireless Communications, 2012
Offloading is an effective method for extending the lifetime of handheld mobile devices by executing some components of applications remotely (e.g., on the server in a data center or in a cloud). In this article, to achieve energy saving while satisfying given application execution time requirement, we present a dynamic offloading algorithm, which is ...
Huang, Dong, Wang, Ping, Niyato, Dusit
openaire   +2 more sources

Addressing Demographic Challenges Through Public–Private Partnerships: In Vitro Fertilization in Latvia

open access: yesWorld Medical &Health Policy, EarlyView.
ABSTRACT The study by Morshed‐Behbahani et al. highlights that financial barriers are not the sole obstacle to accessing infertility treatment. To ensure equal access for all, infertility treatment should be regarded as a universal human right, with the public sector assuming responsibility for its provision.
Arturs Kalva, Girts Brigis
wiley   +1 more source

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