Optimal resource allocation in sdn/nfv-enabled networks via deep reinforcement learning

J Su, S Nair, L Popokh - 2022 IEEE Ninth International …, 2022 - ieeexplore.ieee.org
Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are two
emerging paradigms that enable the feasible and scalable deployment of Virtual Network …

Identifying the impact of parking policy on road transport economics

M Poliak, A Poliakova, NA Zhuravleva… - Mobile Networks and …, 2023 - Springer
The article deals with the issue of identifying the impact of parking policy on the economy of
road transport focusing on the conditions of the European Union. The aim of the article is to …

New paradigms of quantification of economic efficiency in the transport sector

M Poliak, L Svabova, V Konecny… - Oeconomia …, 2021 - ceeol.com
Research background: In determining the prices in road transport, carriers usually use the
calculations based on a so-called routes utilisation coefficient, which allows the carrier to …

[PDF][PDF] Competitiveness of price in international road freight transport

M Poliak, A Poliakova, L Svabova… - Journal of …, 2021 - cjournal.cz
Over the last 30 years, the competition in road transport has increased significantly. For a
transport company to maintain its position in the road freight transport market, the knowledge …

Novel secured distributed energy management structure for solar based smart grids incorporating miners

O Alrumayh, A Almutairi - Solar Energy, 2023 - Elsevier
Addressing the blockchain technology (BCT) challenges, such as the high energy
consumption is unavoidable in smart power systems to take maximum advantage. As an …

Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming

A Forootani, R Iervolino, M Tipaldi, S Dey - Automatica, 2022 - Elsevier
In this paper, we consider a remote estimation problem where multiple dynamical systems
are observed by smart sensors, which transmit their local estimates to a remote estimator …

A stochastic dynamic programming approach for the machine replacement problem

A Forootani, MG Zarch, M Tipaldi, R Iervolino - Engineering Applications of …, 2023 - Elsevier
This paper addresses both the modeling and the resolution of the replacement problem for a
population of machines. The main objective is the computation of a minimum cost …

Approximate dynamic programming for stochastic resource allocation problems

A Forootani, R Iervolino, M Tipaldi… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
A stochastic resource allocation model, based on the principles of Markov decision
processes (MDPs), is proposed in this paper. In particular, a general-purpose framework is …

Dynamic Programming With Python

G Sunitha, A Abouali, MG Galety… - … Applications of Python …, 2023 - igi-global.com
Algorithms are at the heart of computer programming. They form the basis of all software
applications and help to solve complex computational problems. Various problem-solving …

Optimization of charging infrastructure planning for plug-in electric vehicles based on a dynamic programming model

AH Khan Babar, A Yousaf - Transportation Planning and …, 2022 - Taylor & Francis
Electric vehicles (EV) are a new mode of transportations that are replacing conventional
vehicles. However, EVs face the problem of insufficient charging infrastructure which limits …