Results 91 to 100 of about 6,860 (282)

Optimizing Weighted Fair Queuing with Deep Reinforcement Learning for Dynamic Bandwidth Allocation

open access: yesTelecom
The rapid growth of high-quality telecommunications demands enhanced queueing system performance. Traditional bandwidth distribution often struggles to adapt to dynamic changes, network conditions, and erratic traffic patterns.
Mays A. Mawlood, Dhari Ali Mahmood
doaj   +1 more source

Multi‐Agent Reinforcement Learning Framework for Optimizing Smart Cities as System of Systems

open access: yesSystems Engineering, EarlyView.
ABSTRACT This paper presents a novel framework for optimizing smart cities as System of Systems (SoS) by integrating Multi‐Agent Reinforcement Learning (MARL) with traditional systems engineering methodologies. Constituent systems–modeled as agents across domains such as transportation, energy, public safety, and communication, operate autonomously ...
Arifuzzaman (Arif) Sheikh   +1 more
wiley   +1 more source

Analytical model for the IPACT dynamic bandwidth allocation algorithm for EPONs [PDF]

open access: green, 2007
Bart Lannoo   +5 more
openalex   +1 more source

A SDN/OpenFlow Framework for Dynamic Resource Allocation based on Bandwidth Allocation Model [PDF]

open access: green, 2020
Eliseu Torres   +3 more
openalex   +1 more source

Blockchain and Digital Technologies in the Telecommunications Industry

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia   +3 more
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam   +9 more
wiley   +1 more source

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