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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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Pegah Hajibeigi, Mahdieh Pazhouhanfar, Patrik Grahn and Hasan Nazif
Research on restorative environments has suggested green facades as a promising model for natural spaces in urban and densely populated areas. However, the impact of architectural design attributes of green building facades on perceived restoration poten...
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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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Christoffer Åleskog, Håkan Grahn and Anton Borg
As machine learning and AI continue to rapidly develop, and with the ever-closer end of Moore?s law, new avenues and novel ideas in architecture design are being created and utilized. One avenue is accelerating AI as close to the user as possible, i.e., ...
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Maria Grahn, Erica Klampfl, Margaret Whalen and Timothy Wallington
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Sudow, M.; Andersson, K.; Billstrom, N.; Grahn, J.; Hjelmgren, H.; Nilsson, J.; Nilsson, P.-.; Stahl, J.; Zirath, H.; Rorsman, N.
Pág. 4072 - 4078
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CL Jones, RA Grahn, MB Chien, LA Lyons, and CA London
Pág. 95 - 100
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CL Cullen, DM Haines, ML Jackson, and BH Grahn
Pág. 340 - 343
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Wilhelmsson, L. Arlinger, J. Spangberg, K. Lundqvist, S.-O. Grahn, T. Hedenberg, O. Olsson, L.
Pág. 330 - 350
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