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Vision based applications are present anywhere. A special market is industry, allowing to improve product quality and to reduce manufacturing costs. The vision systems applied to industries are known as machine vision sy...

An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation. However, there has been little work exploring useful a...

This paper describes the advances obtained with the XPVM-W95 2.0, a novel monitoring tool for parallel applications that employ PVM-W95 (PVM for Windows) as well as PVM for Linux. The tool provides, at runtime, the appro...

Tesis de Maestría External Early Warning Systems (EWSs) have traditionally been designed to warn policymakers of potential balance of payments crises. This study compares the performance of three different EWSs Machine ...

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex dev...

Fil: Coppolecchio, Leandro Gastón. Universidad Nacional de La Matanza; Argentina. Ciberculturas bien podría ser un texto de género fantástico o ciencia ficción si no estuviese constituido a partir del análisis de l...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...

Feature selection is an important problem for pattern classification systems. We study how to select good features according to the maximal statistical dependency criterion based on mutual information. Because of the dif...

Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-...

Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding. The data in these tasks are t...

LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popul...

This paper describes how to design low-cost reliable computing software for various application systems, by incorporating a single-version fault tolerant scheme along with run-time signature-based control-flow checking. ...

"Falls pose a significant health risk to older adults, often resulting in serious injuries and reduced independence. This study explored two machine learning approaches for detecting falls using data from wearable sensor...

The computational resources need by the scientific community to solve problems is beyond the current available infrastructure. Performance requirements are needed due constant research progress, new problems studies or d...

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...

Materias / palabras clave: complex networks, systems engineering, control theory, operations research, artificial intelligence, cybernetics; Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (Genera...

Materias / palabras clave: artificial intelligence and machine learning in systems, big data and analytics, quantum computing and emerging systems, distributed and cloud computing, cybersecurity and cryptography, blockchain and decentralized syste...

Materias / palabras clave: robotics, artificial intelligence, machine learning, responsive systems, human-machine interface, control systems; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. ...

Materias / palabras clave: control systems, dynamic systems, robotics, automation; Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (General)

Materias / palabras clave: internet of things, cyber-physical systems, machine to machine, big data, artificial intelligence, digital twins; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materias / palabras clave: machine design & tribology, design & systems, manufacturing & machine tool, manufacturing systems, information & intelligence & precision equipment; Technology: Engineering (General). Civil engineering (General): Enginee...

Materias / palabras clave: electronics, computing, robotics, automation, control systems, communications; Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (General); Technology: Technology (General...

Materias / palabras clave: power engineering, electronics, telecommunication engineering, computer engineering, control systems; Science: Physics: Electricity and magnetism: Electricity; Technology: Mechanical engineering and machinery: Control en...

Materias / palabras clave: control systems, control theory, nonlinear processes, automation, fault tolerant control; Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (General)