The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
App store reviews are currently the main source of information for analyzing different aspects of app development and evolution. However, app users' feedback do not only occur on the app store. In fact, a large quantity of posts about apps are made daily on social media. In this paper, we study how Twitter can provide complementary information to support mobile app development. By analysing a total...
In many gas sensors, the selectivity is still a big issue, which makes the real concentration distortion. We introduce a way to estimate its concentration in gas mixture condition. The system consists of three gas sensors, carbon dioxide sensor, carbon monoxide sensor and humidity sensor in environment-controlled chamber, which give lots of different concentration combinations. To estimate its concentration,...
The complexity of management of modern datacenter is rapidly growing. It is emergent that the datacenter management system is able to automatically analyze datacenter status and provide intelligence for workload orchestration and infrastructure management. The state of the art algorithms in machine leaning technology makes possible to conduct real-time data analysis from huge quantities of telemetries...
Microblogging and social networking sites have become a popular means of communication channels among internet users. They provide tools for people to voice their opinions. These sites contain vast amounts of opinionated data, leading to an increased growth in research on sentiment analysis and opinion mining. The study aims at using Twitter, a major and popular platform for microblogging and social...
Random testing has been controversial throughout the history. In the early 70s opinions about random testing were divided: Girard and Rault (1973) call it a valuable test case generation scheme [11]. This is confirmed by Thayer, Lipow and Nelson (1978) in their book on software reliability [21] they say it is the necessary final step in the testing activities. However, Glenford Myers (1979) in his...
Nowadays, with the increasing use of biometric data, it is expected that systems can give successful results against difficult situations and work robustly. Especially, in face recognition systems, variables such as direction of light, facial expression and reflection are making difficult to identify. Thus, in recent years, Convolutional Neural Network (CNN) models, which are deep learning models...
This paper reviews the historic of ChaLearn Looking at People (LAP) events. We started in 2011 (with the release of the first Kinect device) to run challenges related to human action/activity and gesture recognition. Since then we have regularly organized events in a series of competitions covering all aspects of visual analysis of humans. So far we have organized more than 10 international challenges...
In this paper, we propose an automatic method for manuscript author verification based on an analysis of consecutive patches extracted from an image. The classification algorithm uses a deep convolutional network with two types of patch extraction: one based on connected components and the other based on usage of a fixed-size sliding window. We apply this method to verify the authorship of the Arabic...
Classification of electrical loads presents multiple benefits. From the ability to inform customer how their appliances contribute to the overall electricity cost, to allowing electric companies and virtual aggregators to institute demand response mechanisms. In this paper we propose a new type of active sensing method which breaks down real-time data into fixed segments which can be quickly analyzed...
Because of the exponential development of advanced information, the information distribution center size gets increments. From this crude information, recognizing the breast cancer growth plays a testing errand in bunches the proper component. This is satisfied with semi-regulated machine learning calculation and closeness measure. We have taken here the genuine specimens of cancer malignancy with...
In current times, there has been a surge in the amount of collected data from computational systems. The vast amount of data can be useful in many applications and fields, particularly so in Big Data Analytics. However with a large collection of data there is a difficulty discovering important information. Automatic Document Summarization (ADS) systems are suitable for the task of outlining useful...
Classification of lung cancer using a low population, high dimensional dataset is challenging due to insufficient samples to learn an accurate mapping among features and class labels. Current literature usually handles this task through hand-crafted feature creation and selection. In recent years, deep learning is found to be able to identify the underlying structure of data through the use of autoencoders...
Rural and urban areas are linked. A basic definition of rural-urban linkages is that they consist of flows (of goods, people, information, finance, waste, information, social relations) across space, linking rural and urban areas (Cecilia, 2015). Economically, rural and urban areas are linked by the reciprocal exchange of unprocessed and processed products, with both areas acting as mutually reinforcing...
Traumatic brain injury (TBI) and its complications, including intracranial hypertension, are one of the leading causes of mortality. Many proposed algorithms have attempted to overcome the invasiveness of intracranial pressure monitoring with limited clinical applications. In medical practices, changes of intracranial hypertension are perceived manually, by clinical experts, via surgical placement...
This paper proposes a novel sign language learning system based on 2D image sampling and concatenating to solve the problems of conventional sign recognition. The system constructs the training data by sampling and concatenating from a sign language demonstration video at a certain sampling rate. The learning process is implemented with a well-known network, convolutional neural network. 6 sign language...
Terms in source code have become extremely important in Software Engineering research. These ``important'' terms are typically used as input to research tools. Therefore, the quality of the output of these tools will depend on the quality of the term extraction technique. Currently, there is no definitive best technique for predicting the importance of terms during program comprehension. In my work,...
As a rapidly growing number of open source projects adopt distributed version control systems, it becomes more crucial and challenging for release managers to oversee the software development, testing, deployment, and support during the software development life cycle. Manual monitoring and control of the lengthy commit history has been extremely tedious and effort consuming. This paper proposes an...
Nowadays, large amount of data is available everywhere. Therefore, it is very important to analyze this data in order to extract some useful information and to develop an algorithm based on this analysis. This can be achieved through data mining and machine learning. Machine learning is an integral part of artificial intelligence, which is used to design algorithms based on the data trends and historical...
In this paper, we discuss about the pre-processing approaches for MRI brain scans, which is an initial and critical step to yield better segmentation of gliomas(brain tumors) using the. In the recent days Deep Learning has achieved state-of-theart results in Medical Imaging. The pre-processing approaches for MRI brain scans discussed in this paper gives proper insights to the researhcers in this field...
Unmanned systems are increasing in number, while their manning requirements remain the same. To decrease manpower demands, machine learning techniques and autonomy are gaining traction and visibility. One barrier is human perception and understanding of autonomy. Machine learning techniques can result in “black box” algorithms that may yield high fitness, but poor comprehension by operators. However,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.