HARVEST has been developed in collaboration with the American Farm School of Thessaloniki. Its goal is to harvest the knowledge that can be generated by the advanced processing of farm sensing data through applying cutting-edge analytics to address real-world problems with social impact.
HARVEST – an end-to-end solution for smart agriculture monitoring Read More »
The RAIS Marie Curie European Training Network project (https://rais-itn.eu) runs a video challenge for high school and first-year undergraduate students in Europe that provides them with the opportunity to deliver a 2-minutes video on YouTube under the theme of “Privacy in the Era of Wearables”. The winners will be invited to present their idea at
Are you interested in the new challenges in the field of smart sustainable cities? If so, take a look at our new article by clicking here: https://www.mdpi.com/2071-1050/13/15/8553. This work is motivated by the strong demand for robust standardization efforts to steer and measure city performance and dynamics, given the growing tendency of conventional cities’ transformation into
During the “Entrepreneurship in the Covid Era” workshop organized today by the Employouth Project and the Επιμελητήριο Ν. Σερρών, #DatalabAuth‘s group leader Athena Vakali shared her insights on utilizing #Data and #DataScience as a source of #innovation and growth. She presented the lab’s scientific excellence, technological expertise and #research activities and summarized the trends and
ENCASE will leverage the latest advances in usable security and privacy to design and implement a browser-based architecture for the protection of minors from malicious actors in online social networks. The overall vision of the project is to provide research and innovation contributions to end-user experience assessment, large scale data processing, machine learning and data
The Big Data era poses a critically difficult challenge and striking development opportunities in High-Performance Computing (HPC): how to efficiently turn massively large data into valuable information and meaningful knowledge. Computationally effective HPC is required in a rapidly-increasing number of data-intensive domains, such as Life and Physical Sciences, and Socioeconomic Systems. Modelling and Simulation (MS)
Social networks nowadays are big data production engines. Their analytics can produce insights on trending topics that can be used in various domains, from advertising to politics. Social media trends are also indicators for various phenomena, from opinion shifts to emergency situations and even disease outbreaks. However, the prediction of a social network’s topic as
OSWINDS participates in IEEE BigData 2016 Workshop on ” Real-time and Stream Analytics in Big Data” presenting the work “A multi-layer software architecture framework for adaptive real-time analytics” (pdf here) by Athena Vakali, Paschalis Korosoglou, and Pavlos Daoglou.
