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Adaptive Beamforming Algorithm Using a Pre-filtering System

Adaptive Beamforming Algorithm Using a Pre-filtering System

Omar Abu-Ella, Bashir El-Jabu | Mathematics
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Applications of pre-filtering systems to Adaptive Beamforming Algorithm.

Nonlinear Absorption of Light in Materials with Long-lived Excited States

Nonlinear Absorption of Light in Materials with Long-lived Excited States

Francesca Serra, Eugene M. Terentjev | Mathematics
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A study on nonlinear absorption of light in materials in long-lived excited states

A Multiplicative Method and A Correlation Method for Acoustic Testing of Large-Size Compact Concrete Building Constructi

A Multiplicative Method and A Correlation Method for Acoustic Testing of Large-Size Compact Concrete Building Constructi

Vladimir K. Kachanov, Igor V. Sokolov, Array, Serg | Mathematics
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This is a review on the third basic mathematical operation of statistical measurements of variables on the Acoustic Testing of concrete building structures.

Distributed Optimisation Using the Mobile Agent Paradigm through an Adaptable Ontology: Multi-Operator Services Research

Distributed Optimisation Using the Mobile Agent Paradigm through an Adaptable Ontology: Multi-Operator Services Research

Hayfa Zgaya, Slim Hammadi | Mathematics
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The study of a computerized system composed of multiple interacting intelligent agents within an environment for Transport Multimodal Information System.

Greedy Algorithms for Mapping onto a Coarse-grained Reconfigurable Fabric

Greedy Algorithms for Mapping onto a Coarse-grained Reconfigurable Fabric

Colin J. Ihrig, Mustafa Baz, Justin Stander, Raymo | Mathematics
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The study of three greedy heuristics for mapping applications onto a reconfigurable device oriented for low-energy execution.

Greedy Type Bases in Banach Spaces

Greedy Type Bases in Banach Spaces

Witold Bednorz | Mathematics
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The application of Greedy Type Bases to a vector space with a metric that allows the computation of vector length and distance between vectors that a Cauchy sequence of vectors always converges to a well defined limit in the space.

Applications of Recurrent Neural Networks to Optimization Problems

Applications of Recurrent Neural Networks to Optimization Problems

Alaeddin Malek | Mathematics
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A brief insight on applications of recurrent neural networks to general optimization problems in diverse fields such as mechanical, electrical and industrial engineering, operational research, management sciences, computer sciences, system analysis, economics, medical sciences, manufacturing...

A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain

A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain

Wu Yilei, Yang Xulei, Song Qing | Mathematics
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A study to develop robust learning algorithms with variable or adaptive learning coeficients to obtain a tradeoff between the stability and fast convergence speed.