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Which Test Is Best: Evaluation of Traditional and Contemporary Statistical Test...

Cannon, Nathan T; Savini, Giacomo; Pantanelli, Seth M; Hoffer, Kenneth; Aristodemou, Petros; Riaz, Kamran; Murphy, David; Griffin, David

Purpose: To characterize the performance of traditional and contemporary statistics tests for analysis of spherical equivalent prediction error (SEQ-PE) after cataract surgery, with regard to test significance and self-consistency. Design: Comparison of the utility of statistical tests. Methods: Subjects: Eyes from 5 academic centers and 2 private practices that had cataract surgery and postoperative manifest r...


R2L: routing with reinforcement learning

Reis, João; Phan, Truong Khoa; Kheirkhah, Morteza; Yang, Fan; Griffin, David; Rocha, Miguel; Rio, Miguel

In a packet network, the routes taken by traffic can be determined according to predefined objectives. Assuming that the network conditions remain static and the defined objectives do not change, mathematical tools such as linear programming could be used to solve this routing problem. However, networks can be dynamic or the routing requirements may change. In that context, Reinforcement Learning (RL), which ca...


Altimetry for the future : Building on 25 years of progress

Abdalla, Saleh; Abdeh Kolahchi, Abdolnabi; Ablain, Michaël; Adusumilli, Susheel; Aich Bhowmick, Suchandra; Alou-Font, Eva; Amarouche, Laiba

In 2018 we celebrated 25 years of development of radar altimetry, and the progress achieved by this methodology in the fields of global and coastal oceanography, hydrology, geodesy and cryospheric sciences. Many symbolic major events have celebrated these developments, e.g., in Venice, Italy, the 15th (2006) and 20th (2012) years of progress and more recently, in 2018, in Ponta Delgada, Portugal, 25 Years of Pr...


Deep neural networks for network routing

Reis, João; Rocha, Miguel; Phan, Truong Khoa; Griffin, David; Le, Franck; Rio, Miguel

In this work, we propose a Deep Learning (DL) based solution to the problem of routing traffic flows in computer networks. Routing decisions can be made in different ways depending on the desired objective and, based on that objective function, optimal solutions can be computed using a variety of techniques, e.g. with mixed integer linear programming. However, determining these solutions requires solving comple...


An architectural framework for providing QoS in IP differentiated services netw...

Trimintzios, Panos; Andrikopoulos, Ilias; Pavlou, George; Cavalcanti, Carlos Frederico Marcelo da Cunha; Georgatsos, Panos; Griffin, David

As the Internet evolves, a key consideration is support for services with guaranteed quality of service (QoS). The proposed differentiated services (DiffServ) framework, which supports aggregate traffic classes, is seen as the key technology to achieve this. DiffServ currently concentrates on control/data plane mechanisms to support QoS but also recognises the need for management plane aspects through the bandw...

Date: 2012   |   Origin: Oasisbr

Engineering the multi-service internet : MPLS and IP-based techniques.

Trimintzios, Panos; Georgiadis, Leonidas; Pavlou, George; Griffin, David; Cavalcanti, Carlos Frederico Marcelo da Cunha; Georgatsos, Panos

IP Differentiated Services (DiffServ) is seen as the framework to support quality of service (QoS) in the Internet in a scalable fashion, turning it to a global multiservice network. In this context, integrated service/network management and traffic control mechanisms are of paramount importance for service provisioning and network operation, aiming to satisfy the QoS requirements of contacted services while op...

Date: 2012   |   Origin: Oasisbr

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