In this project, relation extraction in Turkish text will be implemented using pattern matching and supervised machine learning techniques. First, the existing literature will be reviewed. Then, a corpus will be collected and the relation types that will be extracted will be identified. This will be followed by developing different types of algorithms for extracting the relations.
A good animation is very valueable tool for explaining a complex concept. I order to do animation on web we have HTML+CSS+Javascript+SVG technologies. I am looking for innovative animations that can be used in our courses, especially 150, 160 and 250.
We have developed a system which integrates IoT data market with Blockchain. The system allows IoT data producers to sell their IoT data such as pressure and light sensor data from Android devices in the Blockchain network and ML service providers will be able to access the IoT data in a decentralized way. We have used solidity language for our my smart contract and React for the development of front-end service.
Cellular automata (CA) consists of a simple and well-formalized model of massively parallel computing, known to be capable of universal computing. CA has rich information processing capabilities because of their parallel behaviour; however, defining their power limitations is not easy. It is a useful approach to classifying the computational capacity of CA to examine their complexity classes.
Building models that can generalize and reproduce desired tasks will enable the robots to learn and do more, which will make our lives easier. The aim of this project is to build such a model, able to learn and reproduce different tasks. We chose Learning from Demonstration as the way of teaching and we used Hidden Markov Models (HMM) with a modified version of Gaussian Mixture Regression (GMR) in order to teach a robot multiple types of trajectories together, with a small number of demonstrations for each.
Throughput of any process is the main indicator of the quality of a system. Whether it is the speed of the storage unit, random access memory or internet connection; throughput is the rst system performance metric to consider when choosing a system design. Since the creation of the internet, most of the research and development was focused on increasing the speed and reliability of the connection. Internet service providers, access point manufacturers and many competed to sell best product which can provide fastest network connection.
Morning routines of people differ from each other and include some similarities. On this topic, various practices and studies have been performed. We studied on sleep quality of users and connected it with morning schedule. On one hand, we measured sleep actions of users. Our experiment provided us useful data to analyze and comment sleep quality of users. We defined sleep cycles for users and calculated an appropriate alarm clock. User should define a gap time before alarm clock for early wake up.
There are some neurologic related diseases that might be seen in the same person and whether there are comman factors that lead to the situation or not has been the subject of interest in biomedical science. Here, by using text mining with articles, our aim is to propose a connection between diseases in gene base. In this project, spesifically, we focussed on the connection between Autism Spectrum Disorder & Epilepsy Disorder and derivatives because they often occur together. We have used PubMed to retrieve related articles and created gene-gene graphs with them.
We propose to develop a user self-care application for home users of Internet Service Providers. An iOS application on the home users mobile phone will communicate with the Lifemote backend to receive a series of hypotheses, which were originally formed by per-minute data collection from the modem.
