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Fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropiate tools for Intelligent Computer Systems. But on the other hand, learning alg...

Parallel computing on networks of workstations are intensively used in some application areas such as linear algebra operations. Topics such as processing as well as communication hardware heterogeneity are considered so...

Materias / palabras clave: Computer science; The Internet; Vision; Telecommunications; Identification (biology); Paradigm shift; Data science; Wireless sensor network; Internet of Things; World Wide Web; Computer security; Computer network

Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks for image classification from two aspects. First, we propose a Parametric Recti...

La Convención por los Derechos del Niño (1989) considera el derecho del niño a no ser discriminado (art. 2) y a recibir una educación que le permita conseguir el mayor grado de autonomía y de integración social pos...

InfiniBand (IBA) technology was developed to address the performance issues associated with messages movement among Endnodes and computer I/O devices. However, InfiniBand is also widely deployed within high performance c...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describe...

List of Boxes List of Tables and Figures Foreword Acknowledgments 1. Defining Content Analysis Is Content Analysis Easy? Is It Something That Anyone Can Do? A Six-Part Definition of Content Analysis 2. Milestones in the ...

An ad-hoc network is the cooperative engagement of a collection of mobile nodes without the required intervention of any centralized access point or existing infrastructure. We present Ad-hoc On Demand Distance Vector Ro...

Bowling Alone: America’s Declining Social Capital Robert D. Putnam (bio) Many students of the new democracies that have emerged over the past decade and a half have emphasized the importance of a strong and active civi...

This paper provides a theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due ...

Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers...

Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate network architecture, gradient-based learning alg...

Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve very good performance ...

KEGG (http://www.kegg.jp/ or http://www.genome.jp/kegg/) is an encyclopedia of genes and genomes. Assigning functional meanings to genes and genomes both at the molecular and higher levels is the primary objective of the...

Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representation learning has led to significant progres...

Materias / palabras clave: information technology, networking technologies, data access, communication technologies; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware; Scienc...

Materias / palabras clave: ai and green ai, computer applications, software engineering, computer security and cyber security, computer networks and cloud computing, multimedia; Science: Mathematics: Instruments and machines: Electronic computers....

Materias / palabras clave: industrial networks, intelligent systems, cloud-based networks, sensor networks, communication networks; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer h...

Materias / palabras clave: software, artificial intelligence, computer hardware, pattern recognition, computer networks, computer processing; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. ...

Materias / palabras clave: information technology, software engineering, artificial intelligence, computer science, informatics, computer networks; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer enginee...

Materias / palabras clave: information technology, computer science, software engineering, computer engineering, computer networks, artificial intelligence; Technology: Technology (General); Technology: Electrical engineering. Electronics. Nuclear...

Materias / palabras clave: algorithms and complexity theory, computing and computer architecture, computer networks, artificial intelligence, security and encryption, performance evaluation of computer systems and queuing systems; Science: Mathema...