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2020 – today
- 2020
[j4]Fardin Derogarian
, João Canas Ferreira, Vítor M. Grade Tavares, José Machado da Silva, Fernando J. Velez:
A Multifunctional Integrated Circuit Router for Body Area Network Wearable Systems. IEEE/ACM Trans. Netw. 28(5): 1981-1994 (2020)
2010 – 2019
- 2018
- [j3]Fardin Derogarian, João Canas Ferreira, Vítor M. Grade Tavares:
Analysis and Evaluation of anEnergy-Efficient Routing Protocol for WSNsCombining Source Routing and MinimumCost Forwarding. J. Mobile Multimedia 14(4): 469-504 (2018) - 2016
- [j2]Fardin Derogarian, João Canas Ferreira, Vítor Grade Tavares:
A small fully digital open-loop clock and data recovery circuit for wired BANs. Int. J. Circuit Theory Appl. 44(3): 530-548 (2016) - 2015
- [b1]Fardin Derogarian:
design of a body sensor network embedded in textiles for biomedical applications. University of Porto, Portugal, 2015 - [j1]Fardin Derogarian, João Canas Ferreira, Vítor M. Grade Tavares:
A time synchronization circuit with sub-microsecond skew for multi-hop wired wearable networks. Microprocess. Microsystems 39(8): 1029-1038 (2015) - 2014
- [c5]Fardin Derogarian, João Canas Ferreira, Vítor M. Grade Tavares:
A Time Synchronization Circuit with an Average 4.6 ns One-Hop Skew for Wired Wearable Networks. DSD 2014: 146-153 - [c4]Fardin Derogarian, João Canas Ferreira, Vítor Grade Tavares:
Design and implementation of hybrid circuit/packet switching for wearable systems. ISIE 2014: 1123-1128 - 2012
- [c3]Fardin Derogarian, João Canas Ferreira, Vítor M. Grade Tavares:
Design and Implementation of a Circuit for Mesh Networks with Application in Body Area Networks. DSD 2012: 896-901 - [c2]Andreina Zambrano, Fardin Derogarian, Ruben Dias, Maria José Abreu, André P. Catarino, Ana Maria Rocha, José Machado da Silva, João Canas Ferreira, Vítor Grade Tavares, Miguel Velhote Correia:
A Wearable Sensor Network for Human Locomotion Data Capture. pHealth 2012: 216-223 - 2011
- [c1]Sarkis Azizian, Karim Fathi, Behbood Mashoufi, Fardin Derogarian:
Implementation of a programmable neuron in 0.35μm CMOS process for multi-layer ANN applications. EUROCON 2011: 1-4
Coauthor Index
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