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51701
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Machine learning assisted methodology for multiclass classification of malignant brain tumors
Vidyarthi, Ankit
;
Agarwal, Ruchi
;
Gupta, Deepak
;
Sharma, Rahul
;
Draheim, Dirk
;
Tiwari, Prayag
IEEE Access
2022
/
p. 50624-50640
https://doi.org/10.1109/ACCESS.2022.3172303
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
51702
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Machine learning based analysis of the upper limb freezing during handwriting in Parkinson's disease patients
Gorbatšov, Vassili
;
Valla, Elli
;
Nõmm, Sven
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
IFAC-PapersOnLine
2022
/
p. 91-95
https://doi.org/10.1016/j.ifacol.2022.10.237
Conference Proceeding metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
51703
artikkel kogumikus EST
/
artikkel kogumikus ENG
Machine learning based emotion recognition in a digital learning environment
Ivleva, Natalja
;
Pentel, Avar
;
Dunajeva, Olga
;
Juštšenko, Valeria
Learning in the Age of Digital and Green Transition : Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 1
2023
/
p. 405-412
https://doi.org/10.1007/978-3-031-26876-2_38
Conference proceedings at Scpous
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
51704
artikkel kogumikus
Machine learning clustering techniques for selective mitigation of critical design features
Lange, Thomas
;
Balakrishnan, Aneesh
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Sterpone, Luca
Proceedings : 2020 26th IEEE International Symposium on On-Line Testing and Robust System Design : IOLTS 2020, Napoli, Italy, July 13-16, 2020 : virtual edition
2020
/
7 p. : ill
https://doi.org/10.1109/IOLTS50870.2020.9159751
artikkel kogumikus
51705
artikkel kogumikus
Machine learning enabled fault-detection algorithms for optical spectrum-as-a-service users
Patri, Sai Kireet
;
Dick, Isabella
;
Kaeval, Kaida
;
Müller, Jasper
;
Pedreno-Manresa, Jose-Juan
;
Autenrieth, Achim
;
Elbers, Jörg-Peter
;
Tikas, Marko
;
Mas-Machuca, Carmen
2023 International Conference on Optical Network Design and Modeling (ONDM) : proceedings
2023
/
6 p. : ill
https://ieeexplore.ieee.org/document/10144858
artikkel kogumikus
51706
artikkel ajakirjas
Machine learning enabled identification of sheet metal localization
Yatkin, Muhammed Adil
;
Kõrgesaar, Mihkel
International journal of solids and structures
2024
/
art. 112592
https://doi.org/10.1016/j.ijsolstr.2023.112592
artikkel ajakirjas
51707
artikkel kogumikus
Machine learning Forecasting of Absolute Dynamic Topography in the Baltic Sea
Rajabi-Kiasari, Saeed
;
Delpeche-Ellmann, Nicole Camille
;
Ellmann, Artu
Nordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session
2022
/
36 l.
https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf
artikkel kogumikus
51708
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Machine learning meets communication networks : current trends and future challenges
Ahmad, Ijaz
;
Shahabuddin, Shariar
;
Malik, Hassan
;
Leppänen, Teemu
;
Loven, Lauri
;
Anttonen, Antti
;
Sodhro, Ali Hassan
;
Alam, Muhammad Mahtab
;
Juntti, Markku
;
Yla-Jääski, Antti
IEEE Access
2020
/
art. 9274307, p. 223418-223460
https://doi.org/10.1109/ACCESS.2020.3041765
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
51709
artikkel ajakirjas
Machine learning pattern recognition and differential network analysis of gastric microbiome in the presence of proton pump inhibitor treatment or Helicobacter pylori infection [Online resource]
Ciucci, Sara
;
Duran, Claudio
;
Palladini, Alessandra
;
Spuul, Pirjo
bioRxiv
2020
/
70 p. : ill
https://doi.org/10.1101/2020.03.24.005587
artikkel ajakirjas
51710
artikkel kogumikus
Machine learning prediction for filling the interruptions of tide gauge data using a least square estimation method from nearest stations
Jahanmard, Vahidreza
;
Delpeche-Ellmann, Nicole Camille
;
Ellmann, Artu
Geodesy for a Sustainable Earth, Scientific Assembly of the International Association of Geodesy : abstract book
2021
/
S5-030
p. 529
https://mm.sciconf.cn/en/minisite/poster-detail-new/1646?poster_id=1563508
https://files.sciconf.cn/upload/file/20210626/20210626085039_69146.pdf
artikkel kogumikus
51711
artikkel kogumikus
Machine learning task as a diclique extracting task
Kuusik, Rein, inform.
;
Treier, Tarvo
;
Lind, Grete
;
Roosmann, Peeter
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery : FSKD'09 : Tianjin, China, August 14-16, 2009. 1
2009
/
p. 555-560
https://ieeexplore.ieee.org/document/5358516
artikkel kogumikus
51712
artikkel kogumikus EST
/
artikkel kogumikus ENG
Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era
Jameel, Furqan
;
Sharma, Navuday
;
Khan, Muhammad Awais
;
Khan, Imran
;
Alam, Muhammad Mahtab
;
Alam, Muhammad Mahtab
;
Mavromoustakis, Constandinos X.
Internet of Things
/
2020
https://doi.org/10.1007/978-3-030-44907-0_8
Article collection metrics at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
51713
artikkel kogumikus
Machine learning to tackle the challenges of transient and soft errors in complex circuits
Lange, Thomas
;
Balakrishnan, Aneesh
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Sterpone, Luca
2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS), 1-3 July 2019, Greece
2019
/
p. 7-14 : ill
https://doi.org/10.1109/IOLTS.2019.8854423
artikkel kogumikus
51714
artikkel kogumikus
Machine learning vs human learning
Henno, Jaak
;
Jaakkola, Hannu
;
Mäkelä, Jukka
2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), September 27 - October 1, 2021, Opatija, Croatia : proceedings
2021
/
p. 542−548
https://doi.org/10.23919/MIPRO52101.2021.9596771
artikkel kogumikus
51715
dissertatsioon
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
Guerra Manzanares, Alejandro
2022
https://doi.org/10.23658/taltech.54/2022
https://digikogu.taltech.ee/et/Item/f56ae778-e5a5-4147-a8e4-4833e08fa789
https://www.ester.ee/record=b5511898*est
dissertatsioon
Seotud publikatsioonid
14
Hybrid feature selection models for machine learning based botnet detection in IoT networks
In-depth feature selection and ranking for automated detection of mobile malware
Time-frame analysis of system calls behavior in machine learning-based mobile malware detection
Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detection
KronoDroid : time-based hybrid-featured dataset for effective android malware detection and characterization
Android malware concept drift using system calls : detection, characterization and challenges
Concept drift and cross-device behavior : challenges and implications for effective android malware detection
Cross-device behavioral consistency : benchmarking and implications for effective android malware detection
Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detection
On the relativity of time : implications and challenges of data drift on long-term effective android malware detection
MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT network
Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
On the application of active learning for efficient and effective Iot botnet detection
On the application of active learning to handle data evolution in Android malware detection
51716
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A machine learning-based forensic tool for image classification - a design science approach
Del Mar-Raave, Joanna Rose
;
Bahsi, Hayretdin
;
Mrsic, Leo
;
Hausknecht, Kresimir
Forensic Science International : Digital Investigation
2021
/
art. 301265, 13 p
https://doi.org/10.1016/j.fsidi.2021.301265
Journal metrics at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
51717
artikkel kogumikus
Machine learning-based optimization design workflow based on obstruction angles for building facades
Sepulveda Luque, Abel
;
Eslamirad, Nasim
;
Seyed Salehi, Seyed Shahabaldin
;
Thalfeldt, Martin
;
De Luca, Francesco
Regenerating the City Performance-driven and Simulation-based Computational Design for Sustainable Cities and Communities : proceedings of the 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, Tallinn University of Technology, 15-16 June 2023
2023
/
p. 15-24
https://digikogu.taltech.ee/et/Item/c29fc911-ec34-45da-afe6-bc1e8515e15d
artikkel kogumikus
51718
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Machine learning-based prediction of specific energy consumption for cut-off grinding
Awan, Muhammad Rizwan
;
Rojas, Hernan A. Gonzalez
;
Hameed, Saqib
;
Riaz, Fahid
;
Hamid, Shahzaib
;
Hussain, Abrar
Sensors
2022
/
art. 7152
https://doi.org/10.3390/s22197152
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
51719
artikkel kogumikus
Machinery monitoring as a part of higher level systems
Snatkin, Aleksei
13th International Symposium "Topical Problems in the Field of Electrical and Power Engineering." Doctoral School of Energy and Geotechnology II : Pärnu, Estonia, January 14-19, 2013
2013
/
p. 285-288 : ill
artikkel kogumikus
51720
artikkel kogumikus
Machinery prognostics
Snatkin, Aleksei
14th International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. II" : Pärnu, Estonia, January 13-18, 2014
2014
/
p. 220-223 : ill
artikkel kogumikus
51721
artikkel kogumikus
Machinery real time monitoring application planning for workshop
Aruväli, Tanel
12th International Symposium "Topical Problems in the Field of Electrical and Power Engineering." Doctoral School of Energy and Geotechnology II : Kuressaare, Estonia, June 11-16, 2012
2012
/
p. 142-144 : ill
artikkel kogumikus
51722
artikkel kogumikus
Machinery utilization monitoring and pause identification prototype model design
Aruväli, Tanel
;
Serg, Risto
;
Otto, Tauno
Proceedings of the 8th International Conference of DAAAM Baltic Industrial Engineering, 19-21st April 2012, Tallinn, Estonia. 1
2012
/
p. 256-261 : ill
artikkel kogumikus
51723
artikkel ajakirjas
Machines are taking over - are we ready? Law and Artificial Intelligence
Nyman-Metcalf, Katrin Merike
;
Kerikmäe, Tanel
Singapore Academy of Law journal
2021
/
p. 24-49
"Machines are taking over - are we ready? Law and Artificial Intelligence"
artikkel ajakirjas
51724
artikkel ajalehes
Machines to take over Tallinn for two days [Online resource]
Tambur, Silver
estonianworld.com
2020
Machines to take over Tallinn for two days
artikkel ajalehes
51725
artikkel kogumikus
Macro impact evaluation of national development plans: Ireland and Estonia
Bradley, J.
;
Kangur, Alvar
;
Lubenets, Natalja
Integration, growth and cohesion in an enlarged European Union
2004
/
p. 243-274
https://link.springer.com/chapter/10.1007/0-387-22854-3_10
artikkel kogumikus
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