Search results for "toit"
showing 10 items of 154 documents
Using Aerial Platforms in Predicting Water Quality Parameters from Hyperspectral Imaging Data with Deep Neural Networks
2020
In near future it is assumable that automated unmanned aerial platforms are coming more common. There are visions that transportation of different goods would be done with large planes, which can handle over 1000 kg payloads. While these planes are used for transportation they could similarly be used for remote sensing applications by adding sensors to the planes. Hyperspectral imagers are one this kind of sensor types. There is need for the efficient methods to interpret hyperspectral data to the wanted water quality parameters. In this work we survey the performance of neural networks in the prediction of water quality parameters from remotely sensed hyperspectral data in freshwater basin…
Network embeddedness in the internationalization of biotechnology entrepreneurs
2018
This study investigates how entrepreneurs of biotech enterprises embed in domestic and international networks so as to internationalize. We advance a contextual framework of embeddedness of internationalizing entrepreneurs, providing a contribution (i) by synthesizing and applying existing conceptual insights from the networking literature to provide a more culturally sensitive view of getting embedded for international entrepreneurship in the biotech industry and (ii) by adding insights into the practices and (micro)processes of how and in what ways embeddedness integrates with the internationalization of biotech entrepreneurs. Our study involves six entrepreneurs from Canada, Finland, and…
Institutional distance and international networking
2017
We focus on how small- and medium-sized enterprises (SMEs) adapt to differences in institutional logics (values, beliefs, and rules) in their networking when they enter an institutionally distant market. We address gaps in the literature, relating to the role of institutional logics in SME internationalization, and how institutional distance affects the formation of network ties. We show how the social interaction involved in internationalization is embedded in the institutional logics followed by partnering actors. Specifically, we demonstrate how institutional distance may constrain the networking activities of SMEs and identify practices that may support successful internationalization. …
Entrepreneurs’ interpersonal communication competence in networking
2020
Modern international business calls for competencies that enable entrepreneurs to be creative, innovative, effective and capable of networking. Competencies in forming and developing networks are particularly valuable for organizations and companies in countries with small economies, such as Finland, that are dependent on export and profitable international business. The aim of this research is to build understanding of what kind of interpersonal communication competence (ICC) entrepreneurs need in networking.
 Since the classic work of Granovetter (1982) and others (see e.g. Håkansson, 1982; Håkansson & Snehota, 2000), network theory and network analysis have become popular when t…
Automatic image-based identification and biomass estimation of invertebrates
2020
1. Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming sorting and expert-based identification of taxa pose strong limitations on how many insect samples can be processed. In turn, this affects the scale of efforts to map and monitor invertebrate diversity altogether. Given recent advances in computer vision, we propose to enhance the standard human expert-based identification approach involving manual sorting and identification with an automatic image-based technology. 2. We describe a robot-enabled image-based ident…
Monitoring peatland water table depth with optical and radar satellite imagery
2022
Peatland water table depth (WTD) and wetness have widely been monitored with optical and synthetic aperture radar (SAR) remote sensing but there is a lack of studies that have used multi-sensor data, i.e., combination of optical and SAR data. We assessed how well WTD can be monitored with remote sensing data, whether multi-sensor approach boosts explanatory capacity and whether there are differences in regression performance between data and peatland types. Our data consisted of continuous multiannual WTD data from altogether 50 restored and undrained Finnish peatlands, and optical (Landsat 5–8, Sentinel-2) and Sentinel-1 C-band SAR data processed in Google Earth Engine. We calculated rando…