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area-of-interest preprocessing

The Physico Chemical Composition and Energy Recovery Potentials of Municipal Solid Waste Generated in Numan Town, North Eastern Nigeria

The Physico Chemical Composition and Energy Recovery Potentials of Municipal Solid Waste Generated in Numan Town, North Eastern Nigeria

... municipal area by sorting and preprocessing the combustible components of municipal solid waste and to determine their waste compositions and chemical ...

11

Optimizing Problem of Brain Tumor Detection using Image Processing

Optimizing Problem of Brain Tumor Detection using Image Processing

... Swati Ghare, Nikita Gaikwad[1] proposed an approach for detection of shape and range of tumor in brain consisting of the implementation of Simple Algorithm with the help of MRI images. They used segmentation techniques ...

6

Preprocessing Framework for Document Image Analysis

Preprocessing Framework for Document Image Analysis

... D ocument image analysis is promising area of research. Since two decades, it has attracted lot of researchers to provide solutions to automation of document processing. A successful research in this area ...

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Preprocessing and Morphological Analysis in Text Mining

Preprocessing and Morphological Analysis in Text Mining

... new area of computer science which fosters strong connections with natural language processing, data mining, machine learning, information retrieval and knowledge ...

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Lung Nodule Detection

Lung Nodule Detection

... Preprocessing is the method of resizing the image into a number of small patches. The aim of preprocessing is an improvement of the image data that suppresses unwanted distortion or enhances some image ...

6

Detection of Retinal Diseases Based on SVM Classifier

Detection of Retinal Diseases Based on SVM Classifier

... The 2-D retinal scans obtained from imaging instruments [e.g., fundus camera, scanning laser ophthalmoscope (SLO) may contain structures other than the retinal area; collectively regarded as artefacts. Exclusion ...

7

Studies on Preprocessing of Reservoir Oil Sludges for Further Hydroconversion

Studies on Preprocessing of Reservoir Oil Sludges for Further Hydroconversion

... The article discusses the results of investigation into the influence of process variables, performed with the aim of selection of optimum conditions corresponding to the most efficient solvent aided extraction of ...

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VALUE ADDITION OF DIETARY RAW INGREDIENTS THROUGH PREPROCESSING –AN AYURVEDIC AND TRADITIONAL VIEW

VALUE ADDITION OF DIETARY RAW INGREDIENTS THROUGH PREPROCESSING –AN AYURVEDIC AND TRADITIONAL VIEW

... pharmaceutical preprocessing operations, Shodhana but collective information is not documented yet, hence an attempt has been done with this ...pharmaceutical preprocessing of dietary ingredients used in ...

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ENHANCING THE ACCESSIBILITY AND USABILITY OF WEBSITE USING WEB LOG ANALYSIS

ENHANCING THE ACCESSIBILITY AND USABILITY OF WEBSITE USING WEB LOG ANALYSIS

... The internet during the past few years, the World Wide Web (WWW) has become most famous and drastic platform to store, propagate and retrieve information as well as mine useful knowledge. It is a way of communication and ...

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A Chronologicval Review of Region of Interest Object Segmentation Techniques

A Chronologicval Review of Region of Interest Object Segmentation Techniques

... is area developing, where a set of small regions is first determined with the aid of some "pre-processing" segmentation stage comparable to picking connected accessories of steady gray value ...

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EEG Signal for Diagnosing Diseases using Machine Learning Aswathy K J 1, Swathi Anil2 , Prof. Elizebath Issac 3

EEG Signal for Diagnosing Diseases using Machine Learning Aswathy K J 1, Swathi Anil2 , Prof. Elizebath Issac 3

... signal preprocessing signal acquisition phase, preprocessing phase, feature processing which consisting of the feature extraction and feature selection phases and classification module consisting ...

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LANGUAGE MODEL FOR DIGITAL RECOURSE OBJECTS RETRIEVAL

LANGUAGE MODEL FOR DIGITAL RECOURSE OBJECTS RETRIEVAL

... Moreover, the further process of clustering was executed through an implementation of K- means Integrated with Fuzzy C Means (KIFCM) algorithm. The associated pixel points existing within the image was gathered and ...

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An Enhancement of Multi Classifiers Voting Method for Mammogram Image Based on Image Histogram Equalization

An Enhancement of Multi Classifiers Voting Method for Mammogram Image Based on Image Histogram Equalization

... a preprocessing stage proposed in this ...collection, preprocessing (histogram equalization and image cropping based region of interest (ROI)), features extracting, classification and last evaluating ...

7

The effect of interest rate volatility on interest income of commercial  banks in Rwanda

The effect of interest rate volatility on interest income of commercial banks in Rwanda

... charge interest rates. Interest rate targets are a vital tool of monetary policy and are taken into account when dealing with variables like treasure loans, Treasury bill, interbank market and other fees ...

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A DATA MINING METHODOLOGY WITH PREPROCESSING STEPS

A DATA MINING METHODOLOGY WITH PREPROCESSING STEPS

... The overall sensitivity and specificity of problem C is higher and more reliable if training to perform clinical decision support. It is not surprising, because the data were gathered carefully with limited amount of ...

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Neural Networks-Based Forecasting Regarding the Convergence Process of CEE Countries to the Eurozone

Neural Networks-Based Forecasting Regarding the Convergence Process of CEE Countries to the Eurozone

... Hungary has to reduce its public debt, inflation being however in decrease. It also has to be grounded on investments for economic growth and it should realize an increase of work output. Hungary has to reduce also the ...

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Supervised Saliency Map Driven Segmentation
of Lesions in Dermoscopic Images

Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images

... often deconvolutional layers [5], [34]. The function of convolutional/deconvolutional layers in DCNNs is to extract visual features from patches of the image to help network decide if a particular patch belongs to the ...

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Forming Trust in E Mentoring: A Research Agenda

Forming Trust in E Mentoring: A Research Agenda

... Global; pool of mentors is unlimited; Local; pool of mentors limited matched according to background, to those in geographic area interest, and area of expertise Mentors and mentees may [r] ...

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Lecture 4- Data Preprocessing

Lecture 4- Data Preprocessing

...  incomplete : lacking attribute values, lacking certain attributes of interest, or containing only aggregate data..  noisy : containing errors or outliers.[r] ...

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Edge Detection with a Preprocessing Approach

Edge Detection with a Preprocessing Approach

... any preprocessing. In this paper, an image preprocessing approach has been adopted in order to get certain parameters that are useful to perform better edge detection with the standard opera- tors-based ...

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