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OnCall: defeating spikes with a free-market application cluster

Publications associées (36)

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Decentralized Clustering and Linking by Networked Agents

Ali H. Sayed, Ali Zoubir

We consider the problem of decentralized clustering and estimation over multitask networks, where agents infer and track different models of interest. The agents do not know beforehand which model is generating their own data. They also do not know which a ...

IEEE2017

Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method

Soroosh Shafieezadeh Abadeh

In this paper, we introduce an evolving system utilizing sparse weighted kernel least square as local models and online Gustafson-Kessel clustering algorithm for structure identification. Our proposed online clustering algorithm forms elliptical clusters w ...

2016

On characterizing protein spatial clusters with correlation approaches

Aleksandra Radenovic, Jayakrishnan Unnikrishnan, Arun Shivanandan

Spatial aggregation of proteins might have functional importance, e.g., in signaling, and nano-imaging can be used to study them. Such studies require accurate characterization of clusters based on noisy data. A set of spatial correlation approaches free o ...

Nature Publishing Group2016

Fitness of Business Models for Digital Collaborative Platforms in Clusters: A Case Study

Gianluigi Viscusi

This paper investigates the role of business models for exploiting digital options within digital clusters (that are clusters where collaboration is IT-dependent). To this aim, this research focuses on digital platforms, a specific IT artifact supporting a ...

Springer International Publishing2015

Decentralized clustering over adaptive networks

Ali H. Sayed, Ali Zoubir

Cooperation among agents across the network leads to better estimation accuracy. However, in many network applications the agents infer and track different models of interest in an environment where agents do not know beforehand which models are being obse ...

IEEE2015

Analysis of computational models for an accurate study of electronic excitations in GFP

Using the chromophore of the green fluorescent protein (GFP), the performance of a hybrid RI-CC2/polarizable embedding (PE) model is tested against a quantum chemical cluster approach. Moreover, the effect of the rest of the protein environment is studied ...

Royal Soc Chemistry2015

Network clustering for voltage control in active distribution network including energy storage systems

Mario Paolone, Mostafa Nick, Maryam Bahramipanah

This paper presents a network partitioning strategy for the optimal voltage control of Active Distribution Networks (ADNs) by means of Dispersed Energy Storage Systems (DESSs). The proposed partitioning is based on the concept of voltage sensitivity coeffi ...

IEEE2015

Cloud computing promises flexibility and high performance for users and high cost-efficiency for operators. Nevertheless, most cloud facilities operate at very low utilization, hurting both cost effectiveness and future scalability. We present Quasar, a cl ...

2014

Micro-Electrode Arrays (MEAs) have emerged as a mature technique to investigate brain (dys)functions in vivo and in in vitro animal models. Often referred to as "smart" Petri dishes, MEAs have demonstrated a great potential particularly for medium-throughp ...

Frontiers Research Foundation2014

Implementation of a Distributed Computation Framework

Matej Pavlovic

This project aims at building a dynamic and scalable framework for Byzantine fault tolerant distributed computation. By organizing nodes of a distributed system in fault-tolerant clusters, we mask Byzantine failures of single nodes and provide an abstracti ...

2013