Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks
Remote Sensing, 2023 Benefiting from advanced satellite payload technologies, edge computing servers can be deployed on satellites to achieve orbital computing and reduce the mission processing delay.
Wenkai Lv +5 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab +19 more
wiley +1 more source
A set oriented approach to global optimal control [PDF]
, 2002 We describe an algorithm for computing the value function for 'all source, single destination' discrete-time nonlinear optimal control problems together with approximations of associated globally optimal control strategies.
Oliver Junge +3 more
core +1 more source
Optimization of Data Distributed Network System under Uncertainty
Discrete Dynamics in Nature and Society, 2022 The major network design or data distributed problems may be described as constrained optimization problems. Constrained optimization problems include restrictions imposed by the system designers.
Laxminarayan Sahoo +4 more
doaj +1 more source
Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis
Arthritis Care &Research, EarlyView.Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs (VA) Rheumatoid Arthritis Registry. Frailty was measured using the VA Frailty Index (VAFI).
Katherine D. Wysham +14 more
wiley +1 more source
Optimisation of electricity energy markets and assessment of CO2 trading on their structure : a stochastic analysis of the greek power sector [PDF]
, 2010 Power production was traditionally dominated by monopolies. After a long period of research and organisational advances in international level, electricity markets have been deregulated allowing customers to choose their provider and new producers to ...
Tolis, Athanasios I. +8 more
core +1 more source
An Online Generation Method of Terminal-Area Trajectories for Wave-Rider Using Deep Neural Networks
Aerospace, 2023 This paper presents a deep neural network-based online trajectory generation method for the aerodynamic characteristic description and terminal-area energy management of wave-rider aircrafts.
Zhe Liu +6 more
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Non-convex mixed-integer nonlinear programming : a survey [PDF]
, 2012 A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint functions are convex, some quite effective exact and heuristic algorithms are ...
Burer, S +3 more
core
Neutrosophic augmented Lagrange multipliers method Nonlinear Programming Problems Constrained by Inequalities [PDF]
Neutrosophic Sets and SystemsOperations research uses scientific methods that take the language of mathematics as a basis and uses the computer, without which it would not be possible to achieve numerical solutions to the problems raised.
Florentin Smarandache +2 more
doaj +1 more source