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Lars Lundberg, Martin Boldt, Anton Borg and Håkan Grahn
We present a method, including tool support, for bibliometric mining of trends in large and dynamic research areas. The method is applied to the machine learning research area for the years 2013 to 2022. A total number of 398,782 documents from Scopus we...
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Dragos Ilie, Håkan Grahn, Lars Lundberg, Alexander Westerhagen, Bo Granbom and Anders Höök
Contemporary airborne radio networks are usually implemented using omnidirectional antennas. Unfortunately, such networks suffer from disadvantages such as easy detection by hostile aircraft and potential information leakage. In this paper, we present a ...
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Lars Lundberg and Håkan Grahn
The availability of large amounts of data in combination with Big Data analytics has transformed many application domains. In this paper, we provide insights into how the area has developed in the last decade. First, we identify seven major application a...
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Sai Prashanth Josyula, Johanna Törnquist Krasemann and Lars Lundberg
In railway traffic systems, whenever disturbances occur, it is important to effectively reschedule trains while optimizing the goals of various stakeholders. Algorithms can provide significant benefits to support the traffic controllers in train reschedu...
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