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1
artikkel ajakirjas
A machine learning approach to achieving energy efficiency in relay-assisted LTE-a downlink system
Hassan, Hammad
;
Ahmed, Ifran
;
Ahmad, Rizwan
;
Khammari, Hedi
;
Bhatti, Ghulam
;
Ahmed, Waqas
;
Alam, Muhammad Mahtab
Sensors
2019
/
art. 3461, 25 p. : ill
https://doi.org/10.3390/s19163461
artikkel ajakirjas
2
artikkel ajakirjas
A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder
Bertl, Markus
;
Metsallik, Janek
;
Ross, Peeter
Frontiers in Psychiatry
2022
https://doi.org/10.3389/fpsyt.2022.923613
artikkel ajakirjas
3
artikkel kogumikus
Accuracy analysis of selected time series and machine learning methods for smart cities based on Estonian electricity consumption forecast
Häring, Tobias
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Korõtko, Tarmo
;
Biechl, Helmuth
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
2020
/
p. 425-428 : ill
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161690
artikkel kogumikus
4
artikkel ajakirjas
Applicability of spiral drawing test for mental fatigue modelling
Senkiv, Olesja
;
Nõmm, Sven
;
Toomela, Aaro
IFAC-PapersOnLine
2019
/
p. 190-195 : ill
https://doi.org/10.1016/j.ifacol.2019.01.064
artikkel ajakirjas
5
artikkel ajakirjas
Application of machine learning for assessment of HS code correctness
Spitšakova, Margarita
;
Haav, Hele-Mai
Baltic journal of modern computing
2020
/
p. 698-718
https://doi.org/10.22364/bjmc.2020.8.4.13
artikkel ajakirjas
6
artikkel kogumikus
Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic Sea
Mostafavi, Majid
;
Delpeche-Ellmann, Nicole Camille
;
Ellmann, Artu
Nordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session
2022
/
26 l.
https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf
artikkel kogumikus
7
artikkel kogumikus
Artificial intelligence and education
Jaakkola, Hannu
;
Henno, Jaak
;
Lahti, J-P.
;
Järvinen, Raimo
;
Mäkelainen, Jukka
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings
2020
/
p. 548-555
https://doi.org/10.23919/MIPRO48935.2020.9245329
artikkel kogumikus
8
artikkel ajakirjas
Artificial intelligence and the GDPR : Inevitable nemeses?
Kesa, Aleksandr
;
Kerikmäe, Tanel
TalTech journal of European studies
2020
/
p. 68-90
https://doi.org/10.1515/bjes-2020-0022
https://content.sciendo.com/view/journals/bjes/bjes-overview.xml?tab_body=latestIssueToc-79907
https://www.ester.ee/record=b5290032*est
artikkel ajakirjas
9
artikkel kogumikus
Artificial intelligence in monitoring and diagnostics of electrical energy conversion systems
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Belahcen, Anouar
;
Van Khang, Hyunh
2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 2020
2020
/
4 p
https://doi.org/10.1109/IWED48848.2020.9069566
artikkel kogumikus
10
artikkel kogumikus
Artificial intelligence within the military domain and cyber warfare
Hallaq, Bil
;
Sõmer, Tiia
;
Osula, Anna-Maria
;
Ngo, Kim
;
Mitchener-Nissen, Timothy
Proceedings of the 16th European Conference on Cyber Warfare and Security, ECCWS 2017 : hosted by University College Dublin, Ireland, 29-30 June 2017
2017
/
p. 153-156
https://www.scopus.com/record/display.uri?eid=2-s2.0-85028013021&origin=resultslist&zone=contextBox
artikkel kogumikus
11
artikkel ajakirjas
Artificial lateral line for aquatic habitat modelling: An example for Lefua echigonia
Garcia-Vega, Ana
;
Fuentes-Perez, Juan Francisco
;
Fukuda, Shinji
;
Kruusmaa, Maarja
;
Sanz-Ronda, Francisco Javier
;
Tuhtan, Jeffrey Andrew
Ecological Informatics
2021
/
art. 101388
https://doi.org/10.1016/j.ecoinf.2021.101388
artikkel ajakirjas
12
artikkel kogumikus
CapsNet on embedded devices in a data scarce scenario
Ezechukwu, Dismas Ndubuis
;
Le Moullec, Yannick
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
6 l.
https://doi.org/10.1109/BEC56180.2022.9935600
artikkel kogumikus
13
artikkel kogumikus
Comparison of machine learning based methods for residential load forecasting
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Kütt, Lauri
;
Rosin, Argo
2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings
2019
/
4 p. : ill
https://doi.org/10.1109/PQ.2019.8818267
artikkel kogumikus
14
artikkel kogumikus
Custom simplified machine learning algorithms for fault diagnosis in electrical machines
Raja, Hadi Ashraf
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Belahcen, Anouar
Diagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings
2022
/
4 p.
https://doi.org/10.1109/Diagnostika55131.2022.9905174
artikkel kogumikus
15
artikkel kogumikus
Detailed analysis of the Luria's alternating series tests for Parkinson's disease diagnostics
Nõmm, Sven
;
Bardõš, Konstantin
;
Toomela, Aaro
;
Medijainen, Kadri
;
Taba, Pille
17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings
2018
/
p. 1347–1352
https://doi.org/10.1109/ICMLA.2018.00219
artikkel kogumikus
16
artikkel kogumikus
Detecting Simpson’s paradox : a machine learning perspective
Sharma, Rahul
;
Garayev, Huseyn
;
Kaushik, Minakshi
;
Arakkal Peious, Sijo
;
Tiwari,Prauag
;
Draheim, Dirk
Database and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings, Part I
2022
/
p. 323-335 : ill
https://doi.org/10.1007/978-3-031-12423-5_25
artikkel kogumikus
17
artikkel kogumikus
Detecting Simpson’s paradox : a step towards fairness in machine learning
Sharma, Rahul
;
Kaushik, Minakshi
;
Arakkal Peious, Sijo
;
Markus, Bertl
;
Ankit, Vidyarthi
;
Ashwani, Kumar
;
Draheim, Dirk
New Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022 : proceedings
2022
/
p. 67-76 : ill
https://doi.org/10.1007/978-3-031-15743-1_7
artikkel kogumikus
18
artikkel ajakirjas
Detection of bulbar involvement in patients with amyotrophic lateral sclerosis by machine learning voice analysis : diagnostic decision support development study
Tena, Alberto
;
Claria, Francec
;
Solsona, Francesc
;
Meister, Einar
;
Povedano, Monica
JMIR Medical Informatics
2021
/
e21331, 18 p. : ill
https://doi.org/10.2196/21331
artikkel ajakirjas
19
artikkel kogumikus
Differences in android behavior between real device and emulator : a malware detection perspective
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
;
Nõmm, Sven
6th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), Granada, Spain, October 22-25, 2019
2019
/
art. 8939268, p. 399-404
https://doi.org/10.1109/IOTSMS48152.2019.8939268
artikkel kogumikus
20
artikkel kogumikus
Dimensionality reduction for machine learning based IoT botnet detection
Bahsi, Hayretdin
;
Nõmm, Sven
15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 2018
2018
/
p. 1857-1862 : ill
https://doi.org/10.1109/ICARCV.2018.8581205
artikkel kogumikus
21
artikkel kogumikus
Discretizing numerical attributes : an analysis of human perceptions
Kaushik, Minakshi
;
Sharma, Rahul
;
Vidyarthi, Ankit
;
Draheim, Dirk
New Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022 : Proceedings
2022
/
p. 188-197
https://doi.org/10.1007/978-3-031-15743-1_18
artikkel kogumikus
22
artikkel kogumikus
Driver distraction detection and evaluation with artificial neural network and fuzzy logic : In-vehicle information system as a driver's secondary activity: case study
Aksjonov, Andrei
;
Nedoma, Pavel
;
Vodovozov, Valery
;
Petlenkov, Eduard
15th International Workshop on Advanced Motion Control : (AMC 2018), Tokyo, Japan
2018
/
p. 523–528 : ill
https://www.researchgate.net/publication/323747995_Driver_Distraction_Detection_and_Evaluation_with_Artificial_Neural_Network_and_Fuzzy_Logic_In-vehicle_information_system_as_a_driver%27s_secondary_activity_Case_study
artikkel kogumikus
23
artikkel kogumikus
Enabling cross-layer reliability and functional safety assessment through ML-based compact models
Alexandrescu, Dan
;
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
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
/
6 p. : ill
https://doi.org/10.1109/IOLTS50870.2020.9159750
artikkel kogumikus
24
artikkel ajakirjas
Explainability and transparency of classifiers for air-handling unit faults using explainable artificial intelligence (XAI)
Meas, Molika
;
Machlev, Ram
;
Köse, Ahmet
;
Tepljakov, Aleksei
;
Loo, Lauri
;
Levron, Yoash
;
Petlenkov, Eduard
;
Belikov, Juri
Sensors
2022
/
art. 6338 : ill
http://doi.org/10.3390/s22176338
artikkel ajakirjas
25
artikkel ajakirjas
Forecasting of energy consumption and production using recurrent neural networks
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Iqbal, Muhammad Naveed
;
Ghahfarokhi, Payam Shams
Advances in electrical and electronic engineering
2020
/
p. 190−197
http://doi.org/10.15598/aeee.v18i3.3597
artikkel ajakirjas
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