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A big data analytics framework for scientific data management

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تومان
The Ophidia project is a research effort addressing big data analytics requirements, issues, and challenges for eScience. We present here the Ophidia analytics framework, which is responsible for atomically processing, transforming and manipulating array-based data. This framework provides a common...

A new convex objective function for the supervised learning of single-layer neural networks

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This paper proposes a novel supervised learning method for single-layer feedforward neural networks. This approach uses an alternative objective function to that based on the MSE, which measures the errors before the neuron’s nonlinear activation functions instead of after them....

A survey and challenges in routing and data dissemination in vehicular ad hoc networks

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In this paper, we survey recent results in vehicular ad hoc networks (VANETs) data dissemination. We  describe methods proposed to enforce dissemination scope such as geocast/broadcast and multicast. A  growing category consisting of methods designed to achieve disruption tolerance in...

A Survey of Security and Privacy in Big Data

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A Survey of Security and Privacy in Big Data

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تومان
Big data has been arising a growing interest in both scientific and industrial fields for its potential value.  However, before employing big data technology into massive applications, a basic but also principle topic should be investigated: security and privacy. In...

A systematic review of economic analyses of telehealth services using real time video communication

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تومان
Background: Telehealth is the delivery of health care at a distance, using information and communication technology. The major rationales for its introduction have been to decrease costs, improve efficiency and  increase access in health care delivery. This systematic review assesses...

Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore

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In this study, with Singapore as an example, we demonstrate how we can use mobile phone call detail record (CDR) data, which contains millions of anonymous users, to extract individual mobility networks comparable to the activity-based approach. Such an approach...

Age Synthesis and Estimation via Faces: A Survey

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Age Synthesis and Estimation via Faces: A Survey

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تومان
Human age, as an important personal trait, can be directly inferred by distinct patterns emerging from the  facial appearance. Derived from rapid advances in computer graphics and machine vision, computer-based age synthesis and estimation via faces have become particularly prevalent...

An energy efficient approach to extend network life time of wireless sensor networks

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تومان
The energy consumption in wireless sensor networks is a significant matter and there are many ways to  conserve energy. The use of mobile sensors is of great relevance to minimize the total energy dissipation in  communication and overhead control packets....

CogNet: A Network Management Architecture Featuring Cognitive Capabilities

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It is expected that the fifth generation mobile networks (5G) will support both human-to-human and  machine-tomachine communications, connecting up to trillions of devices and reaching formidable levels of complexity and traffic volume. This brings a new set of challenges for...
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