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Best-in-class content by expertise faculty and industry leaders viz a viz live sessions, projects, assignments and materials make this Internship on Core Java & Advanced Java.
Abstract: Although the educational level of the Portuguese population has improved in the last decades, the statistics keep Portugal at Europe’s tail end due to its high student failure rates. In particular, lack of success in the core classes of Mathematics and the Portuguese language is extremely serious. On the other hand, the fields of
Abstract: Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the needs of teachers and students. Educational applications differ in many ways, however, from the types of applications for which
Machine Learning based Regression Model for Prediction of Soil Surface Humidity over Moderately Vegetated Fields
Abstract: Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerous seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil
Abstract: Malicious Web sites largely promote the growth of Internet criminal activities and constrain the development of Web services. As a result, there has been strong motivation to develop systemic solution to stopping the user from visiting such Web sites. We propose a learning based approach to classifying Web sites into 3 classes: Benign, Spam
Abstract: In this project work we perform analysis of groundwater level data in three districts of Tamilnadus. We have analysed this data for more than 100 observation wells in each of these districts and developed seasonal models to represent the groundwater behaviour. Three different type of models were developed-periodic, polynomial and rainfall models. While periodic
Multimodal Bio-metric recognition with Fusion on Face Finger Iris Ear and Vein Pattern Based Recognition
Abstract: Security access control systems and forensic applications. Performance of conventional unimodal biometric systems is generally suffered due to the noisy data, non universality and intolerable error rate. In propose system, multi layer Convolutional Neural Network (CNN) is applied to multimodal biometric human authentication using face, palm vein and fingerprints to increase the robustness of
Abstract: Kidney stone is a common problem amongst the western population. Most kidney stones are small and pass spontaneously. These patients often need no further treatment. However, some patients develop large stones, which can cause significant morbidity in the form of acute symptoms and chronic complications if they are not treated. Yet effective treatment and
Abstract: Skin problems not only injure physical health but also induce psychological problems, especially for patients whose faces have been damaged or even disfigured. Using smart devices, most of the people are able to obtain convenient clinical images of their face skin condition. On the other hand, the convolutional neural networks (CNNs) have achieved near
Abstract: Eye ball tracking system is assistant system to the patients who are not able to the voluntary works of the daily life. To communicate to the real world eye ball tracking will be useful. Patients who can control their eyes they can communicate to the people in the real world. In this project we
Abstract: The project presents visibility restoration of single hazy images using color analysis and depth estimation with enhanced refined transmission technique. Visibility of outdoor images is often degraded by turbid mediums in poor weather, Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in practice, image dehazing techniques are
Abstract: Quality inspection is an important aspect of modern industrial manufacturing. In textile industry production, automate fabric inspection is important for maintain the fabric quality. For a long time the fabric defects inspection process is still carried out with human visual inspection, and thus, insufficient and costly. Therefore, automatic fabric defect inspection is required to
Abstract: In this paper, we propose a new artifact-free variation model for JPEG/JPEG 2000 decompression based on a cartoon-texture decomposition scheme. The new animal convolution type regularization associated with total generalized variation (TGV) and shear let transform can reconstruct piecewise smooth images with structured textures well, due to the property of shear let of representing
Abstract: An enhancement of data protection system for secret communication using reserve room in encrypted images based on texture analysis with lifting wavelet is proposed here. The wavelet will decompose the image into four frequency sub bands namely LL, LH, HL and HH. These coefficients are then utilized in the encoder for removing the redundancies.
Objective: The main goal of a project is to To review totally different techniques to predict stock worth movement. To find the performance and accuracy of stock’s price. Abstract: The goal of this paper is to review totally different techniques to predict stock worth movement victimisation the sentiment analysis from social media, data processing.
Understanding and clustering hashtags according to their word distributions using NLP in Machine Learning
Abstract: Hashtags (single tokens often composed of natural language n-grams or abbreviations, prefixed with the character ‘#’) are ubiquitous on social networking services, particularly in short textual documents (a.k.a. posts). Authors use hashtags to diverse ends, many of which can be seen as labels for classical NLP tasks: disambiguation (chips #futurism vs. chips #junkfood); identification
Project objective: To analyze data by considering exiting user’s data set and predict what are chances of diabetes in coming five years. Information is shown in the form of different graphs. Introduction: Data analysis is playing important part in analyzing dataset and predicting what are situations in coming years. This analysis can give option
Abstract: In this paper, we will create dataset about college details like staff details and college events, function etc. Then, first we have to create one android app for using speech recognition. This paper presents the design and development of an intelligent voice recognition chat bot. The paper presents a technology demonstrator to verify a
Abstract: In this paper, we are proposing QR reader for bus ticket. Users can scan QR reader instead of ticket. In this app, after registration profile, we have to attach our bank details through in this app. Then whenever we are going on bus, we have to select from and to location. Then it will
Objective: Smart parking system is designed successfully and In order to provide the android Application and secure system . Abstract: Nowadays the traffic problem was rabidly increasing urban areas. So we can find the solution for this problem. In this paper we proposed the one solution for reducing this Problem. So, in this
Abstract: Today we are living in the world where technology is growing very fast and where mobile technology is become an integral part of our life. This field is getting more popular day by day as before people need to use computers or laptops for processing their work fast but today our smartphones have same