Search results for " computing"
showing 10 items of 2075 documents
Software Startup Practices -- Software Development in Startups through the Lens of the Essence Theory of Software Engineering
2020
Software startups continue to be important drivers of economy globally. As the initial investment required to found a new software company becomes smaller and smaller resulting from technological advances such as cloud technology, increasing numbers of new software startups are born. Typically, the main argument for studying software startups is that they differ from mature software organizations in various ways, thus making the findings of many existing studies not directly applicable to them. How, exactly, software startups really differ from other types of software organizations as an on-going debate. In this paper, we seek to better understand how software startups differ from mature so…
sj-docx-2-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…
2022
Supplemental material, sj-docx-2-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health
sj-docx-1-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…
2022
Supplemental material, sj-docx-1-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health
sj-docx-2-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…
2022
Supplemental material, sj-docx-2-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health
sj-docx-1-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…
2022
Supplemental material, sj-docx-1-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health
sj-pdf-1-jis-10.1177_01655515211043708 – Supplemental material for How do gender, Internet activity and learning beliefs predict sixth-grade students…
2021
Supplemental material, sj-pdf-1-jis-10.1177_01655515211043708 for How do gender, Internet activity and learning beliefs predict sixth-grade students’ self-efficacy beliefs in and attitudes towards online inquiry? by Eero Sormunen, Norbert Erdmann, Suzanne CSA Otieno, Mirjamaija Mikkilä-Erdmann, Eero Laakkonen, Teemu Mikkonen, Md Arman Hossain, Roberto González-Ibáñez, Mario Quintanilla-Gatica, Paavo HT Leppänen and Marja Vauras in Journal of Information Science
sj-pdf-1-jis-10.1177_01655515211043708 – Supplemental material for How do gender, Internet activity and learning beliefs predict sixth-grade students…
2021
Supplemental material, sj-pdf-1-jis-10.1177_01655515211043708 for How do gender, Internet activity and learning beliefs predict sixth-grade students’ self-efficacy beliefs in and attitudes towards online inquiry? by Eero Sormunen, Norbert Erdmann, Suzanne CSA Otieno, Mirjamaija Mikkilä-Erdmann, Eero Laakkonen, Teemu Mikkonen, Md Arman Hossain, Roberto González-Ibáñez, Mario Quintanilla-Gatica, Paavo HT Leppänen and Marja Vauras in Journal of Information Science
Flood Detection On Low Cost Orbital Hardware
2019
Satellite imaging is a critical technology for monitoring and responding to natural disasters such as flooding. Despite the capabilities of modern satellites, there is still much to be desired from the perspective of first response organisations like UNICEF. Two main challenges are rapid access to data, and the ability to automatically identify flooded regions in images. We describe a prototypical flood segmentation system, identifying cloud, water and land, that could be deployed on a constellation of small satellites, performing processing on board to reduce downlink bandwidth by 2 orders of magnitude. We target PhiSat-1, part of the FSSCAT mission, which is planned to be launched by the …
A Big Data Approach for Sequences Indexing on the Cloud via Burrows Wheeler Transform
2020
Indexing sequence data is important in the context of Precision Medicine, where large amounts of ``omics'' data have to be daily collected and analyzed in order to categorize patients and identify the most effective therapies. Here we propose an algorithm for the computation of Burrows Wheeler transform relying on Big Data technologies, i.e., Apache Spark and Hadoop. Our approach is the first that distributes the index computation and not only the input dataset, allowing to fully benefit of the available cloud resources.
Denoising Autoencoders for Fast Combinatorial Black Box Optimization
2015
Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Autoencoders (AE) are generative stochastic networks with these desired properties. We integrate a special type of AE, the Denoising Autoencoder (DAE), into an EDA and evaluate the performance of DAE-EDA on several combinatorial optimization problems with a single objective. We asses the number of fitness evaluations as well as the required CPU times. We compare the results to the performance to the Bayesian Optimization Algorithm (BOA) and RBM-EDA, another EDA which is based on a generative neural network which has proven competitive with BOA. For the considered pro…