Classification system for identifying data samples
System for audio capture and classification of baby cry samples
... V tem delu je strojno uˇ cenje bilo uporabljeno, da na podlagi mnoˇ zice posnetkov predobdelanih dojenˇ ckovih jokov (z ustre- znimi oznakami vzrokov za jok, dojenˇ ckovo starostjo in sp[r] ...
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Multiclass classification of microarray data samples with a reduced number of genes
... available data were ...multiple classification models resemble between them; models may be close to each other in terms of error, but can be distant in terms of their forms (the identity of selected genes) ...
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Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
... integrated data mining ...for data science & machine learning platforms for the sixth year in a row ...binary classification problem as we have got ...
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An Intrusion Detection System for Identifying Attacks using Classification Technique
... the data as normal and various types of attacks. Data mining based decision tree algorithm play very important role to develop the robust IDS to classify the attacks which is harmful for our ...
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A Handwriting and Pen Printing Classification System for Identifying Law Violators
... This Criminology is brought to you for free and open access by Northwestern University School of Law Scholarly Commons. It has been accepted for inclusion in Journal of Criminal Law and Criminology by an authorized ...
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Hybrid Classification System for Uncertain Data
... K-NN classification method consisting of the feature reduction based on SOM and the prototype selection using the neighborhood chains has also been developed in [33] to reduce the complexity when working with high ...
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Identifying Botnets: Classification and Detection
... mails. These are sent with the name of big firms and commercials to manipulate the users. The analysis of content can be done in the same way considering that it can be inferred as the message in the body of emails ...
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Data cluster analysis-based classification of overlapping nuclei in Pap smear samples
... We combine size and textural features in this study to achieve optimum results. We also evaluated the significance of the proposed feature combination by comparing it with an alternative feature set which is formed by ...
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Classification of Fuzzy Data in Database Management System
... vague data. 2 Classification of Fuzzy Data Many real world systems and applications require information management compo- nents that provide support for managing imprecise ...fuzzy data in ...
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Spot sputum samples are at least as good as early morning samples for identifying Mycobacterium tuberculosis.
... spot samples. Microbiological culture data are routinely lost through culture contamination and MGIT false ...spot samples tended to have lower contamination in both MGIT and LJ and lower MGIT false ...
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Spot sputum samples are at least as good as early morning samples for identifying Mycobacterium tuberculosis
... spot samples. Microbiological culture data are routinely lost through culture contamination and MGIT false ...spot samples tended to have lower contamination in both MGIT and LJ and lower MGIT false ...
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A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data.
... for classification of the imbalanced data stream with concept ...labeled samples in building the model to maintain the classification performance when concept drift ...the samples from ...
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MetaBinG2: a fast and accurate metagenomic sequence classification system for samples with many unknown organisms
... Compared to MetaBinG2, DIAMOND showed better performance on over-prediction and comparable speed. Other conclusions remain unchanged. Reviewer comments: R2_10, “Page 7, Lines 7,8: From Fig. 2e, f, is clear that the ...
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Identifying training deficiencies in military pilots by applying the human factors analysis and classification system
... This study used Wiegmann and Shappell’s ver- sion of the HFACS framework [6]. Each accident report was coded independently by two investiga- tors, an instructor pilot and an aviation psycholo- gist. These investigators ...
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Generating Classification Rules from Training Samples
... extracted classification rules from training samples for these two ...classified samples from the training sets. The classification accuracy for New Orleans scene was ...the ...
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On the Enhancement of Classification Algorithms Using Biased Samples
... improve classification and clustering ...of data more than the points from sparse ...generate samples that allow clustering processes to find clusters more ...
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A Web-Based System for Classification of Remote Sensing Data
... our system for the image capture retrieval from the map layer has been developed using JavaScript ...the system in the task of image captures regardless of the latency of communications with the ...
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VIDEO DATA VISUALIZATION SYSTEM: SEMANTIC CLASSIFICATION AND PERSONALIZATION
... The data visualization system interfaces permit the users to communicate with information in the objective to finalize well defined ...Indeed, system interface plays a crucial role in the development ...
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Security Framework for Control System Data Classification and Protection
... Since data is important, it needs to be ...of data protection, there needs to be a method to identify the different types of data and their associated criticality to operations within control ...
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A Web Based System for Classification of Remote Sensing Data
... Sensing data processing, remote server, Satellite/Airbone image classification, web based ...web-based system, users only require a simple web browser to access remotely sensed imagery and perform ...
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