On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern

Συγγραφείς: Enrico Tedeschi, Tor-Arne S. Nordmo, Dag Johansen, Håvard D. Johansen

Πηγή: ACM Transactions on Internet Technology. 22:1-28

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, VDP::Technology: 500::Information and communication technology: 550::Other information technology: 559, VDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Kommunikasjon og distribuerte systemer: 423, 0202 electrical engineering, electronic engineering, information engineering, VDP::Mathematics and natural scienses: 400::Information and communication science: 420::Communication and distributed systems: 423, 02 engineering and technology, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559

Σύνδεσμος πρόσβασης: https://hdl.handle.net/10037/25022

Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor

Συγγραφείς: Khan, Mohsin, Dagenborg, Håvard Johansen, Johansen, Dag

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, VDP::Samfunnsvitenskap: 200::Biblioteks- og informasjonsvitenskap: 320::Informasjons- og kommunikasjonssystemer : 321, VDP::Social sciences: 200::Library and information science: 320::Information and communication systems: 321

Relation: Future Internet; FRIDAID 2285448; https://hdl.handle.net/10037/34282

Διαθεσιμότητα: https://hdl.handle.net/10037/34282
https://doi.org/10.3390/fi16080261

Panel on Sustainable Architecture Options for Dataverse. Introduction

Συγγραφείς: Conzett, Philipp

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, Fri programvare / Linux

Σύνδεσμος πρόσβασης: https://hdl.handle.net/10037/29378

Cloud Migration of DataverseNO

Συγγραφείς: Conzett, Philipp, Tykhonov, Vyacheslav, Andersen, Rolf, Bergeron, Loïc, Odu, obiajulu

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, Fri programvare / Linux, Skytjenester / Cloud services

Σύνδεσμος πρόσβασης: https://hdl.handle.net/10037/29379

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Συγγραφείς: Jha, Debesh, Smedsrud, Pia, Riegler, Michael, Johansen, Dag, de Lange, Thomas, Halvorsen, Pål, Johansen, Håvard D.

Πηγή: 2019 IEEE International Symposium on Multimedia (ISM). :225-2255

Θεματικοί όροι: Endoscopes, FOS: Computer and information sciences, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, Artificial intelligence, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, VDP::Midical sciences: 700::Clinical medical sciences: 750::Gastroenterology: 773, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, 3. Good health, Image segmentations, 03 medical and health sciences, 0302 clinical medicine, VDP::Mathematics and natural scienses: 400::Information and communication science: 420::Simulation, visualisation, signal processing, image analysis: 429, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, VDP::Medisinske fag: 700::Klinisk medisinske fag: 750::Gasteroenterologi: 773, Learning, Medical image processings, VDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429, Cancer

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://oda.oslomet.no/oda-xmlui/bitstream/10642/8489/1/ResUNet%2b%2bAn_advanced.pdf
http://arxiv.org/abs/1911.07067
https://arxiv.org/abs/1911.07067
https://www.computer.org/csdl/proceedings-article/ism/2019/560600a225/1gFJdPCAEIo
https://oda.oslomet.no/oda-xmlui/handle/10642/8489
https://dblp.uni-trier.de/db/journals/corr/corr1911.html#abs-1911-07067
https://hdl.handle.net/10642/8489

Representation Learning for Long Sequential Data with Circular Dilated Convolutional Neural Networks

Συγγραφείς: Cheng, Lei

Συνεισφορές: Yang, Zhirong, Li, Jingyue

Θεματικοί όροι: VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/11250/3199301

Large-scale Self-supervised Learning for Enhancing Accelerometer-based Human Activity and Sleep Recognition

Συγγραφείς: Logacjov, Aleksej

Συνεισφορές: Bach, Kerstin, Mork, Paul Jarle

Θεματικοί όροι: VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/11250/3181556

Large-Scale Analyses of ChIP-Seq Data of Histone Modifications

Συγγραφείς: Stovner, Endre Bakken

Συνεισφορές: Sætrom, Pål, Krokan, Hans Einar

Θεματικοί όροι: VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/11250/3174425

Differential Privacy in Secure Multiparty Computation and Deep Neural Networks

Συγγραφείς: Zarei, Amir

Συνεισφορές: Vinterbo, Staal A., Gjøsteen, Kristian

Θεματικοί όροι: VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/11250/3172984

The expressive power of pooling in Graph Neural Networks

Συγγραφείς: Bianchi, Filippo Maria, Lachi, Veronica

Θεματικοί όροι: FOS: Computer and information sciences, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, Computer Science - Machine Learning, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, Machine learning / Machine learning, Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2304.01575
https://hdl.handle.net/10037/33043

A southern, middle, and northern Norwegian offshore wind energy resources analysis by a transfer learning method for Energy Internet

Συγγραφείς: Chen, Hao, Birkelund, Yngve, Ricaud, Benjamin, Zhang, Qixia

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, VDP::Teknologi: 500::Elektrotekniske fag: 540, VDP::Technology: 500::Electro-technical sciences: 540, VDP::Matematikk og naturvitenskap: 400::Geofag: 450::Meteorologi: 453, VDP::Mathematics and natural scienses: 400::Geosciences: 450::Meteorology: 453, VDP::Matematikk og naturvitenskap: 400::Matematikk: 410::Statistikk: 412, VDP::Mathematics and natural scienses: 400::Mathematics: 410::Statistics: 412, Maskinlæring / Machine learning, Meteorologi / Meteorology, Offshore Wind / Offshore vind, Vindenergi / Wind energy

Relation: Journal of Physics: Conference Series (JPCS); Equinor: Akademiaavtale Equinor UiT Norges arktiske universitet; Chen, Birkelund, Ricaud, Zhang. A southern, middle, and northern Norwegian offshore wind energy resources analysis by a transfer learning method for Energy Internet. Journal of Physics: Conference Series (JPCS). 2023;2655(1); FRIDAID 2231666; https://hdl.handle.net/10037/32802

Διαθεσιμότητα: https://hdl.handle.net/10037/32802
https://doi.org/10.1088/1742-6596/2655/1/012011

MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator

Συγγραφείς: Kutschera, Stefan, Slany, Wolfgang, Ratschiller, Patrick, Gursch, Sarina, Dagenborg, Håvard

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551

Relation: Entropy; Norges forskningsråd: 263248; FRIDAID 2170115; https://hdl.handle.net/10037/30529

Διαθεσιμότητα: https://hdl.handle.net/10037/30529
https://doi.org/10.3390/e25060854

CPPE: An Open-Source C++ and Python Library for Polarizable Embedding: An Open-Source C++ and Python Library for Polarizable Embedding

Συγγραφείς: Erik Rosendahl Kjellgren, Andreas Dreuw, Maximilian Scheurer, Jacob Kongsted, Peter Reinholdt, Jógvan Magnus Haugaard Olsen

Πηγή: Scheurer, M, Reinholdt, P, Kjellgren, E R, Haugaard Olsen, J M, Dreuw, A & Kongsted, J 2019, ' CPPE : An Open-Source C++ and Python Library for Polarizable Embedding ', Journal of Chemical Theory and Computation, vol. 15, no. 11, pp. 6154-6163 . https://doi.org/10.1021/acs.jctc.9b00758
Journal of Chemical Theory and Computation

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, 0103 physical sciences, VDP::Mathematics and natural science: 400::Chemistry: 440::Theoretical chemistry, quantum chemistry: 444, 01 natural sciences, VDP::Matematikk og Naturvitenskap: 400::Kjemi: 440::Teoretisk kjemi, kvantekjemi: 444

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://munin.uit.no/bitstream/10037/16365/3/article.pdf
https://pubmed.ncbi.nlm.nih.gov/31580670
https://munin.uit.no/handle/10037/16365
https://www.ncbi.nlm.nih.gov/pubmed/31580670
https://portal.findresearcher.sdu.dk/en/publications/cppe-an-open-source-c-and-python-library-for-polarizable-embeddin
https://findresearcher.sdu.dk:8443/ws/files/158881247/CPPE.pdf
https://pubs.acs.org/doi/10.1021/acs.jctc.9b00758
https://chemrxiv.org/engage/chemrxiv/article-details/60c7436fbdbb89993ca38645
https://hdl.handle.net/10037/16365
https://findresearcher.sdu.dk:8443/ws/files/158881247/CPPE.pdf
https://portal.findresearcher.sdu.dk/da/publications/37410b44-85b3-4272-999e-b130af12b786
https://doi.org/10.1021/acs.jctc.9b00758

A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation

Συγγραφείς: Cinti, Alessandro, Bianchi, Filippo Maria, Martino, Alessio, Rizzi, Antonello

Πηγή: Cognitive Computation. 12:369-387

Θεματικοί όροι: dynamic programming, FOS: Computer and information sciences, approximate string matching, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, Computer Science - Distributed, Parallel, and Cluster Computing, systolic arrays, FPGA, Distributed, Parallel, and Cluster Computing (cs.DC)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://munin.uit.no/bitstream/10037/17645/4/article17.pdf
http://arxiv.org/abs/1712.03560
https://munin.uit.no/bitstream/10037/17645/4/article17.pdf
https://munin.uit.no/handle/10037/17645
https://link.springer.com/article/10.1007%2Fs12559-019-09646-y
https://dblp.uni-trier.de/db/journals/corr/corr1712.html#abs-1712-03560
https://hdl.handle.net/10037/17645
https://hdl.handle.net/11573/1276957
https://doi.org/10.1007/s12559-019-09646-y
https://link.springer.com/article/10.1007/s12559-019-09646-y
https://hdl.handle.net/11385/214539
https://doi.org/10.1007/s12559-019-09646-y

Deep divergence-based approach to clustering

Συγγραφείς: Michael Kampffmeyer, Sigurd Løkse, Filippo M. Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen

Πηγή: Neural Networks. 113:91-101

Θεματικοί όροι: Information-theoretic learning, FOS: Computer and information sciences, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, Computer Science - Machine Learning, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, Discriminant Analysis, Deep learning, Machine Learning (stat.ML), 02 engineering and technology, Unsupervised learning, Clustering, Divergence, Pattern Recognition, Automated, Machine Learning (cs.LG), 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Cluster Analysis, Neural Networks, Computer

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/30798048
http://arxiv.org/abs/1902.04981
https://pubmed.ncbi.nlm.nih.gov/30798048/
http://export.arxiv.org/pdf/1902.04981
https://www.ncbi.nlm.nih.gov/pubmed/30798048
https://dblp.uni-trier.de/db/journals/corr/corr1902.html#abs-1902-04981
https://munin.uit.no/handle/10037/17759
https://arxiv.org/pdf/1902.04981
https://hdl.handle.net/10037/17759

TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments

Συγγραφείς: Brenna, Lars, Singh, Isak Sunde, Johansen, Håvard D., Johansen, Dag

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, VDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Sikkerhet og sårbarhet: 424, VDP::Mathematics and natural scienses: 400::Information and communication science: 420::Security and vulnerability: 424, Cybersecurity / Cybersikkerhet, Digital sikkerhet / Digital security, Kryptografi / Cryptography

Relation: Array; Norges forskningsråd: 263248; Norges forskningsråd: 274451; FRIDAID 1985754; https://hdl.handle.net/10037/27903

Διαθεσιμότητα: https://hdl.handle.net/10037/27903
https://doi.org/10.1016/j.array.2021.100118

Fish AI: Sustainable Commercial Fishing Challenge

Συγγραφείς: Nordmo, Tor-Arne Schmidt, Kvalsvik, Ove, Kvalsund, Svein Ove, Hansen, Birte, Halvorsen, Pål, Hicks, Steven, Johansen, Dag, Johansen, Håvard D., Riegler, Michael Alexander

Θεματικοί όροι: VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551

Relation: Nordmo, T.A.S. (2023). Dutkat: A Privacy-Preserving System for Automatic Catch Documentation and Illegal Activity Detection in the Fishing Industry. (Doctoral thesis). https://hdl.handle.net/10037/29768 .; Nordic Machine Intelligence (NMI); Nordmo, Kvalsvik, Kvalsund, Hansen, Halvorsen, Hicks, Johansen, Johansen, Riegler. Fish AI: Sustainable Commercial Fishing Challenge. Nordic Machine Intelligence (NMI). 2022;2(2); FRIDAID 2046492; https://hdl.handle.net/10037/27523

Διαθεσιμότητα: https://hdl.handle.net/10037/27523
https://doi.org/10.5617/nmi.9657

Kvasir-SEG: A Segmented Polyp Dataset

Συγγραφείς: Jha, Debesh, Pia H, Smedsrud, Riegler, Michael, Halvorsen, Pål, de Lange, Thomas, Johansen, Dag, Johansen, Håvard D.

Πηγή: Lecture Notes in Computer Science (LNCS)

Θεματικοί όροι: Medical images, Polyp segmentations, Semantic segmentations, Kvasir-SEG datasets, Fuzzy c-mean clusters, Deep Residual UNet architecture, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, VDP::Medisinske fag: 700::Klinisk medisinske fag: 750::Gasteroenterologi: 773, VDP::Midical sciences: 700::Clinical medical sciences: 750::Gastroenterology: 773, VDP::Matematikk og naturvitenskap: 400, VDP::Mathematics and natural scienses: 400, VDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429, VDP::Mathematics and natural scienses: 400::Information and communication science: 420::Simulation, visualisation, signal processing, image analysis: 429

Περιγραφή αρχείου: application/pdf

Relation: MMM 2020: MultiMedia Modeling - 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, Proceedings, Part II; Lecture Notes in Computer Science;Volume 11962; Norges forskningsråd: 270053; Norges forskningsråd: 263248; https://hdl.handle.net/10642/8391; cristin:1776857

Διαθεσιμότητα: https://hdl.handle.net/10642/8391
https://doi.org/10.1007/978-3-030-37734-2_37

The deep kernelized autoencoder

Συγγραφείς: Michael Kampffmeyer, Sigurd Løkse, Filippo M. Bianchi, Robert Jenssen, Lorenzo Livi

Πηγή: Applied Soft Computing. 71:816-825

Θεματικοί όροι: FOS: Computer and information sciences, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, Computer Science - Machine Learning, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, 0211 other engineering and technologies, Kernel methods, Computer Science - Neural and Evolutionary Computing, Deep learning, Machine Learning (stat.ML), Autoencoders, 02 engineering and technology, Representation learning, Machine Learning (cs.LG), Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Neural and Evolutionary Computing (cs.NE)

Σύνδεσμος πρόσβασης: https://munin.uit.no/bitstream/10037/16437/4/article.pdf
http://arxiv.org/abs/1807.07868
https://ore.exeter.ac.uk/repository/handle/10871/39989
https://dblp.uni-trier.de/db/journals/corr/corr1807.html#abs-1807-07868
https://ui.adsabs.harvard.edu/abs/2018arXiv180707868K/abstract
https://www.sciencedirect.com/science/article/pii/S1568494618304174
https://arxiv.org/pdf/1807.07868
https://arxiv.org/abs/1807.07868
https://hdl.handle.net/10037/16437

Exploring future C++ features within a geometric modeling context

Συγγραφείς: Bratlie, Jostein, Dalmo, Rune

Θεματικοί όροι: VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551

Relation: NIK: Norsk Informatikkonferanse; Bratlie, J., Dalmo, R.(2019) Exploring future C++ features within a geometric modeling context. NIK: Norsk Informatikkonferanse, 2019 , 13 s.; FRIDAID 1796117; https://ojs.bibsys.no/index.php/NIK/article/view/639; https://hdl.handle.net/10037/17618

Διαθεσιμότητα: https://hdl.handle.net/10037/17618
https://ojs.bibsys.no/index.php/NIK/article/view/639