Results 11 to 20 of about 571,208 (159)
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets
Sensors, 2018 Working with multimodal datasets is a challenging task as it requires annotations which often are time consuming and difficult to acquire. This includes in particular video recordings which often need to be watched as a whole before they can be labeled ...
Alexander Diete +2 more
doaj +1 more source
Frontiers in Blockchain, 2020 This work analyses blockchain-mediated decentralization based on a systematic review of the scholarly understanding of the term ‘decentralization’ across multiple disciplines from computer to political sciences, examining how its various meanings are ...
Michał R. Hoffman +2 more
doaj +1 more source
Fusing Object Information and Inertial Data for Activity Recognition
Sensors, 2019 In the field of pervasive computing, wearable devices have been widely used for recognizing human activities. One important area in this research is the recognition of activities of daily living where especially inertial sensors and interaction sensors ...
Alexander Diete, Heiner Stuckenschmidt
doaj +1 more source
Learning Human Activity From Visual Data Using Deep Learning
IEEE Access, 2021 Advances in wearable technologies have the ability to revolutionize and improve people’s lives. The gains go beyond the personal sphere, encompassing business and, by extension, the global economy.
Taha Alhersh +3 more
doaj +1 more source
Long-short term memory networks for modeling track geometry in laser metal deposition
Frontiers in Artificial Intelligence, 2023 Modeling metal additive manufacturing processes is of great importance because it allows for the production of objects that are closer to the desired geometry and mechanical properties.
Martina Perani +4 more
doaj +1 more source
Personalized Privacy-Preserving Frequent Itemset Mining Using Randomized Response
The Scientific World Journal, 2014 Frequent itemset mining is the important first step of association rule mining, which discovers interesting patterns from the massive data. There are increasing concerns about the privacy problem in the frequent itemset mining.
Chongjing Sun +3 more
doaj +1 more source
Categorization Schemes in Web of Science CC
Informaciâ i Innovacii, 2018 The article presents the analysis of the two classification schemes that are integrated in Web of Science Core Collection - the “Web of Science Categories” and “Research Areas”.
Yu. V. Mokhnacheva
doaj +1 more source
Sequence-Based Explainable Hybrid Song Recommendation
Frontiers in Big Data, 2021 Despite advances in deep learning methods for song recommendation, most existing methods do not take advantage of the sequential nature of song content.
Khalil Damak +2 more
doaj +1 more source