Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zeinab Akhavan"'
Publikováno v:
Future Internet, Vol 14, Iss 8, p 230 (2022)
Recently, a multi-agent based network automation architecture has been proposed. The architecture is named multi-agent based network automation of the network management system (MANA-NMS). The architectural framework introduced atomized network funct
Externí odkaz:
https://doaj.org/article/aace2ad29052483b9752bf8f9850886f
Autor:
Javad Behnamian, Zeinab Akhavan
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 16, Iss 50, Pp 105-124 (2018)
Work in industrial workshops and heavy activities has effects on the health of workers and in terms of occupational hazards associated with many risks for them. Since in the industrial units there are different works in terms of ergonomic load and ha
Externí odkaz:
https://doaj.org/article/68f6beff96074bfea5eb582ce44c1c63
Publikováno v:
Agronomy, Vol 11, Iss 1, p 145 (2021)
Polarimetric decomposition extracts scattering features that are indicative of the physical characteristics of the target. In this study, three polarimetric decomposition methods were tested for soil moisture estimation over agricultural fields using
Externí odkaz:
https://doaj.org/article/ff98a5bea41a4c2a89a14e547d2d01cf
Autor:
Sisay Tadesse Arzo, Dimitrios Sikeridis, Michael Devetsikiotis, Fabrizio Granelli, Rafael Fierro, Mona Esmaeili, Zeinab Akhavan
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 59:3-29
Autor:
Sisay Tadesse Arzo, Mona Esmaeili, Yonatan Melese Worku, Zeinab Akhavan, Michael Devetsikiotis, Payman Zarkesh-Ha
Publikováno v:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference.
Publikováno v:
Journal of Applied Remote Sensing. 15
Soil moisture is an important parameter that directly impacts crop productivity. Microwave signals are highly sensitive to soil dielectric constant and so they are used to derive soil moisture. The potential of entropy and alpha (H / α) decompositio
Autor:
Patrick G. Bridges, Grace Faustino, Jonathan Wheeler, Orlando Albillar, Hussein Al-Azzawi, Zeinab Akhavan
Publikováno v:
2021 IEEE 17th International Conference on eScience (eScience).
This paper describes SAMPRA, a framework for supporting effective research on sensitive data being deployed at the University of New Mexico. SAMPRA and its associated implementation are designed to support the needs of a diverse set of use-cases from
Publikováno v:
Internet of Things. 18:100397
Contact tracing has been proven an essential practice during pandemic outbreaks and is a critical non-pharmaceutical intervention to reduce mortality rates. While traditional contact tracing approaches are gradually being replaced by peer-to-peer sma
Publikováno v:
SEC
In this paper, we propose to cache popular Internet of Things (IoT) resources in the brokers (which can be considered as application layer middlewares) by applying the CoAP Publish/Subscribe protocol in order to reduce the energy consumption of the s
Publikováno v:
CIKM
Unlike semi-supervised clustering, classification and rule discovery; semi-supervised motif discovery is a surprisingly unexplored area in data mining. Semi-supervised Motif Discovery finds hidden patterns in long time series when a few arbitrarily k