Výsledky vyhledávání - "VDP::Mathematics and natural science: 400::Information and communication science: 420"

Deep Representation-aligned Graph Multi-view Clustering for Limited Labeled Multi-modal Health Data

Autor: Grimstad, Erland

Today, many fields are characterised by having extensive quantities of data from a wide range of dissimilar sources and domains. One such field is medicine, in which data contain exhaustive combinations of spatial, temporal, linear, and relational da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=nora_uio__no::8ec6413c58094394d4cd59b8d5de6b23
https://hdl.handle.net/10037/26708

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Prediction of cloud fractional cover using machine learning

Autor: Steven Alexander Hicks, Hugo Lewi Hammer, Michael Riegler, Trude Storelvmo, Hanna Svennevik

Publikováno v: Big Data and Cognitive Computing
Volume 5
Issue 4
Big Data and Cognitive Computing, Vol 5, Iss 62, p 62 (2021)

Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming and different other aspects of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca290474234849a13527c5e6cca82a0b
https://hdl.handle.net/11250/2833363

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PyPSA meets Africa: Developing an open source electricity network model of the African continent

Autor: Aristides Kiprakis, Koen van Greevenbroek, Johannes Hampp, Rebecca Grant, Matin Mahmood, Maximilian Parzen, Desen Kirli

Publikováno v: AFRICON

Electricity network modelling and grid simulations form a key enabling element for the integration of newer and cleaner technologies such as renewable energy generation and electric vehicles into the existing grid and energy system infrastructure. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eece2c5049fd6d7457d14d549495ee51
https://hdl.handle.net/10037/23235

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Smart contract formation enabling energy-as-a-service in a virtual power plant

Autor: Sambeet Mishra, Cletus Crasta, Chiara Bordin, Jordi Mateo-Fornés

Publikováno v: Repositorio Abierto de la UdL
Universitad de Lleida

Energy as a service (EaaS) is an emerging business model that enables the otherwise passive energy consumers to play an active role and participate in the energy utility services. This platform is formed through smart contracts registering peer-to-pe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b384f3e788045e8b210a5d02005ef1fd
https://hdl.handle.net/10037/26307

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Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence

Autor: Xiangping Hu, Francesco Cherubini, Hugo Lewi Hammer, Michael Riegler, Anastasiia Kolevatova

Publikováno v: Big Data and Cognitive Computing, Vol 5, Iss 55, p 55 (2021)
Big Data and Cognitive Computing
Volume 5
Issue 4

A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time and optimize data usage. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e978e5d9f01641a37e3bd6ef9001ccad
https://hdl.handle.net/10037/23067

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Dynamic path finding method and obstacle avoidance for automated guided vehicle navigation in Industry 4.0

Autor: Yigit Can Dundar

Publikováno v: KES

Within the scope of Industry 4.0, Automated Guided Vehicles (AGVs) are used to streamline logistics through the usage of efficient path finding methods. The current path finding methods in the industry rely on excessive usage of guidance in the shape

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2944643f40bf2a5b1ce6e33f3cdf633f
https://hdl.handle.net/10037/23580

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Accountable Human Subject Research Data Processing using Lohpi

Autor: Lars Brenna, Thomas Bye Nilsen, Aakash Sharma, Håvard D. Johansen, Dag Johansen

Presentation at the online conference International Conference on Information-communication technologies enhanced Social Sciences and Humanities (ICTeSSH), 28.06.21 - 30.06.21, arranged by Science 2.0 Alliance. https://ictessh.pubpub.org/. In human s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a989848369595803cb8fbfb988805f3f
https://hdl.handle.net/10037/22223

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Educating the energy informatics specialist: opportunities and challenges in light of research and industrial trends

Autor: Chiara Bordin, Frank Eliassen, Amir Safari, Sambeet Mishra

Publikováno v: SN Applied Sciences
Sn Applied Sciences
SN Applied Sciences, Vol 3, Iss 6, Pp 1-17 (2021)

Abstract Contemporary energy research is becoming more interdisciplinary through the involvement of technical, economic, and social aspects that must be addressed simultaneously. Within such interdisciplinary energy research, the novel domain of ener

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95ff5e2cad44cba77696f08c6edf5a18
https://hdl.handle.net/10037/21663

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Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies

Autor: Thomas Bye Nilsen, Håvard D. Johansen, Dag Johansen, Lars Brenna, Katja Pauline Czerwinska, Daria Onitiu, Aakash Sharma

Publikováno v: Sharma, A, Bye Nilsen, T, Czerwinska, K P, Onitiu, D, Brenna, L, Johansen, D & Dagenborg Johansen, H 2021, ' Up-to-the-minute privacy policies via gossips in participatory epidemiological studies ', Frontiers in Big Data, vol. 4, 624424 . https://doi.org/10.3389/fdata.2021.624424
Frontiers in Big Data
Frontiers in Big Data, Vol 4 (2021)

Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from seemingly in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d45e5105b8be4f2201636e1ef3ea956d
https://hdl.handle.net/10037/21816

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Photoperiod-dependent developmental reprogramming of the transcriptional response to seawater entry in Atlantic salmon (Salmo salar)

Autor: Marianne Iversen, Simen Rød Sandve, Samuel A.M. Martin, Teshome Dagne Mulugeta, Alex West, Even H. Jørgensen, David G. Hazlerigg

Publikováno v: G3: Genes, Genomes, Genetics
G3: Genes|Genomes|Genetics
G3: Genes, Genomes, Genetics, Vol 11, Iss 4 (2021)

The developmental transition of juvenile salmon from a freshwater resident morph (parr) to a seawater (SW) migratory morph (smolt), known as smoltification, entails a reorganization of gill function to cope with the altered water environment. Recentl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5e9792c565dcbf16efedc540a0fc362
https://hdl.handle.net/10037/21731

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