Article concerning activity detection

Article concerning activity detection

We are pleased to inform you that  article “Ensemble of RNN Classifiers for Activity Detection Using a Smartphone and Supporting Nodes” has been published in Sensors and is available online: Website: https://www.mdpi.com/1424-8220/22/23/9451

Big Data Analitic Tools

Big Data Analitic Tools

Unlocking new insights from complex, vast, diverse, and massive quantities of data to accelerate digital transformation, innovation, and social sustainability is the primary objective of Big Data Analytics. It uses a palette of advanced techniques and approaches from emerging fields such as Data Mining, Machine Learning and Deep Learning for extracting valuable information. Various tools …

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Article: Ensemble of RNN classifiers for activity detection using smartphone and supporting nodes

Article: Ensemble of RNN classifiers for activity detection using smartphone and supporting nodes

The dataset was provided for classification of activity using sensors placed in four places: waist, chest, arm and leg. The dataset contains eight classes: walking in normal paste, where legs and arms are moving without any luggage, jogging in moderate paste, where limb movement is faster, and the body is moving more dynamically, squats, where …

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Presentations of Erasmus+ projects iBIGworld and FAAI on #ErasmusDays

Presentations of Erasmus+ projects iBIGworld and FAAI on #ErasmusDays

The Erasmus+ projects iBIGworld and “The Future is in Applied Artificial Intelligence” (FAAI) No  2022-1-PL01-KA220-HED-000088359 were presented on October 14, 2022, during the 6th Edition of #ErasmusDays at the University of Bielsko-Biala. The basic aims and outcomes of the iBIGworld were reported by dr Aleksandra Klos-Witkowska. In turn, Vasyl Martsenyuk paid attention to the basic …

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The Smart Skills for Smarter Cities – Prof. Georgi Dimitrov presented the possibilities of using the results of the iBigWorld project – 2020-1-PL01-KA203-082197. for optimal use of BigData capabilities.

The Smart Skills for Smarter Cities – Prof. Georgi Dimitrov presented the possibilities of using the results of the iBigWorld project – 2020-1-PL01-KA203-082197. for optimal use of BigData capabilities.

On 21.09.2022, at the Launchее Center, was held a discussion meeting in connection with the implementation of the Smart Skills for Smarter Cities (Skills4Cities) project, Erasmus+ No 2020-1-BG01-KA202-079071, related to the success and sustainability of the smart city. During the event, was discussed the need for experts with new and upgraded competencies, knowledge, skills and …

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Erasmus+ project iBIGworld: Transnational Meeting M4 has been conducted at the University of Library Studies and Information Technologies in Bulgaria

Erasmus+ project iBIGworld: Transnational Meeting M4 has been conducted at the University of Library Studies and Information Technologies in Bulgaria

On September 15-16, 2022 Transnational Meeting M4 was held in Sofia (Bulgaria). The Meeting was conducted on the basis of the University of Library Studies and Information Technologies https://www.unibit.bg/ The fourth project meeting was organized by the University of Library Studies and Information Technologies (ULSIT) in Bulgaria. The purpose of this meeting was to summarize …

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NodeJS and BigData

NodeJS and BigData

Nowadays, the Big Data can be found in most of modern organisation and companies. Its utilisation gives an advantage over competitors and allows to adapt to new trends. There is no surprise that established organizations, to follow a trend, are shifting to Node.js platforms from their legacy systems. Node.js is used by companies like PayPal, …

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New MSc thesis concerning Big Data in UBB

New MSc thesis concerning Big Data in UBB

Today on University of Bielsko-Biala our graduate defend its MSc thesis. The following publication ‘Sentiment and stock market analysis of listed companies using Big Data tools’ introduces the topic of Big Data with sentiment analysis. Big Data is having an increasingly important role in the modern world over time. With the help of huge data …

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Data Scientist

Data Scientist

Full-time Yettel.Srbija Belgrade, Serbia (1,001-5,000 employees · Telecommunications) https://www.yettel.rs/ About the job We are looking for a motivated, talented, and committed Data Scientist to join our Data Science team. Data Science team in Yettel is utilizing advanced machine learning algorithms to support marketing department by data-driven engaging customers and maximizing value to the business. Also …

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