Prospective: A Data-Driven Technique to Predict Web Service Response Time Percentiles

Integration of remote sensing and meteorological data to predict flooding time using deep learning algorithm

Accurate flood forecasting is a vital need to reduce its risks. Due to the complicated structure of flood and river flow, it is somehow difficult to solve this problem. Artificial neural networks, such as frequent neural networks, offer good performance in time series data. In recent years, the use of Long Short Term Memory networks hase attracted much attention due to the faults of frequent ne...

Extending Opengis Services to Gain Access to Real Time Data through a Web-coordination Service

Data-driven Web Design

This short paper summarizes challenges and opportunities of applying machine learning methods to Web design problems, and describes how structured prediction, deep learning, and probabilistic program induction can enable useful interactions for designers. We intend for these techniques to foster new work in data-driven Web design. 1. Machine Learning for Web Design The Web provides an enormous ...

Semantic Web-driven development of service-oriented systems - exploiting linked data for service annotation and discovery

Within a service-oriented architecture (SOA), software components are accessible via well-defined interfaces. To this end, the discovery and integration of Web services and APIs is becoming an increasingly important task in present-day software engineering. Despite considerable research dedicated to Semantic Web Services (SWS), structured semantics are still not used significantly to facilitate...

A Data-Driven Technique for Misconception Elicitation

When a quantitative student model is constructed, one of the first tasks to perform is to identify the domain concepts assessed. In general, this task is easily done by the domain experts. In addition, the model may include some misconceptions which are also identified by these experts. Identifying these misconceptions is a difficult task, however, and one which requires considerable previous e...