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The employment of the model for automatic, multivariable controller design purposes is commented upon.
In this sense, this work proposes a model for automatic classification of urban soundscapes.
This paper addresses a realistic model for automatic generation control (AGC) design in an interconnected power system.
In this paper, we propose a Self-Incremental Axis-Net-based Hierarchical Recognition (SINEHIR) model for automatic recognition and interpretation of real-life complex electronic construction structural drawings.
This paper proposes a novel model for automatic construction of business processes called IPCASCI (Intelligent business Processes Composition based on multi-Agent systems, Semantics and Cloud Integration).
This being the focus of the paper, a case study of an object-oriented model for automatic generation of a fluid catalytic cracking unit (FCCU) reactor/regenerator is presented.
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A Bayesian stochastic method is developed and presented for the analysis of the proposed model allowing for automatic model determination and estimation of the thresholds and their unknown number.
Thefirst paper is authored by H. Lu et al. and presents a full-body layered deformable model (LDM) for automatic model-based gait recognition.
Probabilistic models for automatic indexing.
Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech.
Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings.
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