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Artificial Intelligence (Latest Articles)
Latest indexed articles for 'Artificial Intelligence'
Articles 31 to 40 of 200:
Projection-based adaptive neurocontrol with switching logic deadzone tuning.
19 Aug 2009 
In this brief, an adaptive neural network (NN) controller is proposed for multiple-input-multiple-output (MIMO) nonlinear systems with triangular control structure and unknown control directions. Deadzones are employed in the projection-based NN ...
rec_pub_19703800-projection-based-adaptive-neurocontrol-switching-logic-deadzone-tuning.htm
Real-time detection of transient cardiac ischemic episodes from ECG signals.
19 Aug 2009 We propose a new algorithm to detect and classify transient cardiac ischemia episodes, designed with the goal of providing a real-time execution without penalizing the classifier accuracy much. The algorithm is based on a novel mixture of ...
rec_pub_19696464-real-time-detection-transient-cardiac-ischemic-episodes-ecg-signals.htm
Make way for robot scientists.
19 Aug 2009 
rec_pub_19696334-make-way-robot-scientists.htm
16 Aug 2009 We propose a novel approach for potential online treatment verification using cine EPID (electronic portal imaging device) images for hypofractionated lung radiotherapy based on a machine learning algorithm. Hypofractionated radiotherapy requires ...
rec_pub_19687565-a-feasibility-study-treatment-verification-using-epid-cine-images.htm
Predicting radiotherapy outcomes using statistical learning techniques.
16 Aug 2009 Radiotherapy outcomes are determined by complex interactions between treatment, anatomical and patient-related variables. A common obstacle to building maximally predictive outcome models for clinical practice is the failure to capture potential ...
rec_pub_19687564-predicting-radiotherapy-outcomes-using-statistical-learning-techniques.htm
16 Aug 2009 Computer-aided diagnosis (CAD) has been an active area of study in medical image analysis. A filter for the enhancement of lesions plays an important role for improving the sensitivity and specificity in CAD schemes. The filter enhances objects ...
rec_pub_19687563-a-supervised-lesion-enhancement-filter-use-massive-training.htm
Probabilistic PCA self-organizing maps.
16 Aug 2009 In this paper, we present a probabilistic neural model, which extends Kohonen's self-organizing map (SOM) by performing a probabilistic principal component analysis (PPCA) at each neuron. Several SOMs have been proposed in the literature to capture ...
rec_pub_19695998-probabilistic-pca-self-organizing-maps.htm
Supplier selection based on a neural network model using genetic algorithm.
16 Aug 2009 In this paper, a decision-making model was developed to select suppliers using neural networks (NNs). This model used historical supplier performance data for selection of vendor suppliers. Input and output were designed in a unique manner for ...
rec_pub_19695996-supplier-selection-based-neural-network-model-using-genetic-algorithm.htm
Automated quality control for segmentation of myocardial perfusion SPECT.
16 Aug 2009 Left ventricular (LV) segmentation, including accurate assignment of LV contours, is essential for the quantitative assessment of myocardial perfusion SPECT (MPS). Two major types of segmentation failures are observed in clinical practices: ...
rec_pub_19690019-automated-quality-control-segmentation-myocardial-perfusion-spect.htm
14 Aug 2009 BACKGROUND: New generations of image-based diagnostic machines are based on digital technologies for data acquisition; consequently, the diffusion of digital archiving systems for diagnostic exams preservation and cataloguing is rapidly increasing. ...
rec_pub_19682395-definition-automated-content-based-image-retrieval-cbir-system.htm
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