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  Impact of different forest densities on atmospheric boundary-layer development and wind-turbine wake 

  Adedipe, Taiwo A.; Chaudhari, Ashvinkumar; Kauranne, Tuomo (John Wiley & Sons Ltd, 15.01.2020)

  The aim of this work is to investigate the atmospheric boundary‐layer (ABL) flow and the wind turbine wake over forests with varying leaf area densities (LAD). The forest LAD profile used in this study is based on a real ...
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  In defense of ‘eco’ in innovation ecosystem 

  Ritala, Paavo; Almpanopoulou, Argyro (Elsevier, 01.02.2017)

  Innovation ecosystem is an increasingly popular but all too often ambiguously utilized concept across academia, policy and business. In their recent well-argued critique of the concept, Oh et al. (2016) called it a “flawed ...
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  A novel similarity classifier with multiple ideal vectors based on k-means clustering 

  Lohrmann, Christoph; Luukka, Pasi (Elsevier, 24.04.2018)

  In the literature, researchers and practitioners can find a manifold of algorithms to perform a classification task. The similarity classifier is one of the more recently suggested classification algorithms. In this paper, ...
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  Classification of intraday S&P500 returns with a Random Forest 

  Lohrmann, Christoph; Luukka, Pasi (Elsevier, 28.11.2018)

  Stock markets can be interpreted to a certain extent as prediction markets, since they can incorporate and represent the different opinions of investors who disagree on the implications of the available information on past ...
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  Service innovation and internationalization in SMEs: antecedents and profitability outcomes 

  Vuorio, Anna; Torkkeli, Lasse; Sainio, Liisa-Maija (Springer US, 13.01.2020)

  Both innovating and internationalizing can hold the key to survival and growth among small- and medium-sized enterprises (SMEs). Service innovation in particular is highly relevant in the increasingly digitalized and ...

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