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Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
The gene structure is consist of intron, exons, promoter, start codon, stop codon, etc. for the eukaryotic organism. The boundary between intron and exon is splice site. There is the need for accurate algorithms to be used in the splice sites identification and more attention was paid during past few years. This proposed system, Splice Hybrid have three layered architecture — in this layer2nd orderMM...
Twitter is a micro blogging site where users review or tweet their approach i.e., opinion towards the service providers twitter page in words and it is useful to analyze the sentiments from it. Analyze means finding approach of users or customers where it is positive, negative, neutral, or in between positive-neutral or in between negative-neutral and represent it. In such a system or tool tweets...
Osteoarthritis has become a very rapidly spreading disorder of bones and joints among old people and young athletes indulging in sports such as soccer, hockey, etc. Injuries of the knee like tears in the meniscus can be seen very commonly in young athletes as well as the aged people. The Computer-Aided Diagnosis (CAD) systems help to a large extent and can play a major role in their detection. In...
Biometrie Authentication is the main stream to attract attention of researcher to develop algorithm for data and security concern. The palm vein biometric is emerging as the most promising physiological characteristic to develop efficient recognition system. This paper discuss about the new dimension to generate biometric trait key rather a template free key generation extracted by means of rigorous...
Today there are various types of image editing tools which make totally changes in image with free of cost, Image has performed a significant role in Human life but image has easily fiddle using image processing software. Fiddle image has difficult to detect that it is original or not for this reasons the image forgery detection topic is active research work nowadays. The proposed of this paper to...
Representation of data is very important in case of machine learning. Better the representation, the classifiers will give better results. Contractive autoencoders are used to learn the representation of data which are robust to small changes in the input. This paper uses contractive autoencoder and SVM classifier for handwritten Devanagari numerals recognition. The accuracy obtained using CAE+SVM...
In this paper a method for cartilage segmentation of human knee from MRI images using multiple models is presented. Initially we trained a model with three types of knee MRI scans using existing set of large data called as training set. This training set includes features of pixels and their classes such as background and cartilage. Multiple k-NN models based on MRI scan type and slice number are...
In last decade, the field of information extraction and retrieval has increased exponentially. Sentiment analysis is a task to identify the polarity of given content. Extracting the useful content from the opinion sources becomes a challenging task. This paper used lexicon based approach for classifying a review document as positive, negative or neutral. This paper extracts the sentiments from customer...
The richest information about different emotional states and thinking styles of the person is carried by signature The signature analysis is one of the most effective and reliable indicator for prediction of personality. As it reveals the true personality which includes fears, honesty and many other individual personality traits. This can happen with the help of few features like underscores below...
The document targets towards analysis current braille characters, emphasis it's insufficiencies at instructing approaches aimed at little kids with recommend apparent results. This document concentrates largely upon the practice of braille and typography collectively with the fundamental braille writing system and is essential for constructive progress in association for blind kids. The principal...
Anemia is a condition in which the hemoglobin (Hb) content becomes less than that of the normal value. In this project, hemoglobin value is estimated using ANN (Artificial Neural Network). Database of blood sample images and their actual Hb values is collected from a local laboratory. Red, green and blue normalized values of images' samples are fed to the ANN as input. Cyanemethemoglobin method based...
There is a need to exploit the available data collected on environment for the development of smart cities in order to improve the air quality which in turn can improve the quality of life for a city. Air pollution is becoming a serious concern to the society as the air pollutants are very hazardous in nature. Pollutants affect the health and causes respiratory and cardiac problems. If air pollutants...
Translation of natural language text using statistical machine translation (SMT) is a supervised machine learning problem. SMT algorithms are trained to learn how to translate by providing many translations produced by human language experts. The field SMT has gained momentum in recent three decades. New techniques are constantly introduced by the researchers. This is survey paper presenting an introduction...
The objective of this paper is to report the study carried out to assess and evaluate changes in Land-Use Land-Cover(LULC) at the region of Aurangabad Municipal Corporation (AMC) for the year 2009 and 2015 using multispectral images acquired from remotely sensed Linear-Imaging-Self-Scanning-Sensor-HI(LISS-HI). The area was categorized into six types, viz. Residential(R), Vegetation(V), Water_Body(W),...
In this current age, numerous ranges of real word applications with imbalanced dataset is one of the foremost focal point of researcher's inattention. There is the enormous increment of data generation and imbalance within dataset. Processing and knowledge extraction of huge amount of imbalanced data becomes a challenge related with space and time necessities. Generally there is a list of an assortment...
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