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126
book article
Time-frame analysis of system calls behavior in machine learning-based mobile malware detection
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
2019 International Conference on Cyber Security for Emerging Technologies : CSET 2019, Doha, Qatar, 27 October 2019 through 29 October 2019
2019
/
art. 89049088 ; 8 p. : ill
https://doi.org/10.1109/CSET.2019.8904908
book article
Related publications
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
127
journal article EST
/
journal article ENG
Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks
Bhayo, Jalal
;
Shah, Syed Attique
;
Hameed, Sufian
;
Ahmed, Awais
;
Nasir, Jamal
;
Draheim, Dirk
Engineering Applications of Artificial Intelligence
2023
/
art. 106432
https://doi.org/10.1016/j.engappai.2023.106432
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
128
journal article EST
/
journal article ENG
Towards a smarter charging infrastructure : real-time availability forecasting for EVs
Manai, Meriem
;
Sellami, Bassem
;
Ben Yahia, Sadok
Procedia Computer Science
2024
/
p. 930 - 939
https://doi.org/10.1016/j.procs.2024.09.512
Conference proceedings at Scopus
Article at Scopus
journal article EST
/
journal article ENG
129
book article
Towards artificial intelligence driven immersive environments in virtual reality for industrial applications
Alsaleh, Saleh Ragheb Saleh
;
Tepljakov, Aleksei
;
Tamre, Mart
;
Petlenkov, Eduard
44th International Conference on Telecommunications and Signal Processing (TSP)
2021
/
p. 340-345
https://doi.org/10.1109/TSP52935.2021.9522676
book article
Related publications
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
130
journal article EST
/
journal article ENG
Towards generation of synthetic data sets for hybrid conflict modelling
Nõmm, Sven
;
Venables, Adrian Nicholas
IFAC-Papers OnLine
2022
/
p. 25-30
https://doi.org/10.1016/j.ifacol.2022.10.226
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
journal article EST
/
journal article ENG
131
journal article EST
/
journal article ENG
Towards personalized elevator travel with smart elevator system
Robal, Tarmo
;
Reinsalu, Uljana
;
Leier, Mairo
Baltic journal of modern computing
2020
/
p. 675-697
https://doi.org/10.22364/bjmc.2020.8.4.12
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
132
book article
Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detection
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
18th IEEE International Conference on Machine Learning and Applications : ICMLA 2019, 16–19 December 2019, Boca Raton, Florida, USA : proceedings
2019
/
p. 1162-1169 : ill
https://doi.org/10.1109/ICMLA.2019.00193
book article
Related publications
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
133
journal article EST
/
journal article ENG
Transforming fatigue assessment : smartphone-based system with digitized motor skill tests
Valla, Elli
;
Toose, Ain-Joonas
;
Nõmm, Sven
;
Toomela, Aaro
International Journal of Medical Informatics
2023
/
art. 105152
https://doi.org/10.1016/j.ijmedinf.2023.105152
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
134
journal article EST
/
journal article ENG
Tree-based ensemble multi-task learning method for classification and regression
Simm, Jaak
;
Magrans De Abril, Ildefons
;
Sugiyma, Masashi
IEICE transactions on information and systems
2014
/
p. 1677-1681
https://doi.org/10.1587/transinf.E97.D.1677
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
135
journal article EST
/
journal article ENG
Tremor-related feature engineering for machine learning based Parkinson’s disease diagnostics
Valla, Elli
;
Nõmm, Sven
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
Biomedical signal processing and control
2022
/
art. 103551
https://doi.org/10.1016/j.bspc.2022.103551
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
136
journal article EST
/
journal article ENG
Trends and challenges in intelligent condition monitoring of electrical machines using machine learning
Kudelina, Karolina
;
Vaimann, Toomas
;
Asad, Bilal
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Demidova, Galina
Applied sciences
2021
/
art. 2761, 19 p. : ill
https://doi.org/10.3390/app11062761
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
137
journal article EST
/
journal article ENG
Understanding multidimensional verification : where functional meets non-functional
Lai, Xinhui
;
Balakrishnan, Aneesh
;
Lange, Thomas
;
Jenihhin, Maksim
;
Ghasempouri, Tara
;
Raik, Jaan
;
Alexandrescu, Dan
Microprocessors and microsystems
2019
/
art. 102867, 13 p. : ill
https://doi.org/10.1016/j.micpro.2019.102867
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
2
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
Approaches to extra-functional verification of security and reliability aspects in hardware designs = Riistvaraprojektide turva- ja töökindlusaspektide ekstrafunktsionaalse verifitseerimise lähenemisviisid
138
book article EST
/
book article ENG
Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
Guerra Manzanares, Alejandro
;
Medina-Galindo, Jorge
;
Bahsi, Hayretdin
;
Nõmm, Sven
Information Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers
2022
/
p. 222–243
https://doi.org/10.1007/978-3-030-94900-6_11
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
139
journal article EST
/
journal article ENG
UWB and GNSS Sensor Fusion Using ML-Based Positioning Uncertainty Estimation
Tommingas, Mihkel
;
Laadung, Taavi
;
Varbla, Sander
;
Müürsepp, Ivo
;
Alam, Muhammad Mahtab
IEEE Open Journal of the Communications Society
2025
/
p. 2177-2189 : ill
https://doi.org//10.1109/OJCOMS.2025.3554352
journal article EST
/
journal article ENG
Related publications
1
Enhancing UWB and multi-sensor positioning with ML-based uncertainty estimation = Ülilairiba ja mitme sensoriga positsioneerimissüsteemide täpsuse parandamine masinõppe meetodil
140
book article EST
/
book article ENG
Why not to trust big data : discussing statistical paradoxes
Sharma, Rahul
;
Kaushik, Minakshi
;
Arakkal Peious, Sijo
;
Shahin, Mahtab
;
Vidyarthi, Ankit
;
Tiwari, Prayag
;
Draheim, Dirk
Database Systems for Advanced Applications : DASFAA 2022, International Workshops BDMS, BDQM, GDMA, IWBT, MATQTDS, and PMBD, Virtual Event, April 11–14, 2022 : proceedings
2022
/
p. 50-63 : ill
https://doi.org/10.1007/978-3-031-11217-1_4
Conference Proceedings at Scopus
Article at Scopus
Conference proceedings at WOS
Article at WOS
book article EST
/
book article ENG
Related publications
1
Unification of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks
141
book article
Wind energy forecasting using recurrent neural networks
Shabbir, Noman
;
Kütt, Lauri
;
Jawad, Muhammad
;
Ahmadiahangar, Roya
;
Iqbal, Muhammad Naveed
;
Rosin, Argo
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)
2019
/
5 p. : ill
https://doi.org/10.1109/BdKCSE48644.2019.9010593
book article
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adversarial machine learning
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5.
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6.
interpretable machine learning
7.
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8.
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19.
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21.
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22.
machine-to-machine communications
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AC machine
24.
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25.
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26.
axial flux switched reluctance machine
27.
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28.
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29.
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30.
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31.
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32.
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33.
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34.
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35.
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37.
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38.
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39.
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40.
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41.
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42.
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43.
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44.
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45.
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46.
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47.
interior permanent magnet machine
48.
interior permanent-magnet synchronous machine (IPMSM)
49.
logic machine
50.
low-resource machine translation
51.
machine bearings
52.
machine condition monitoring
53.
machine control
54.
machine design
55.
machine elements
56.
machine error
57.
machine housing
58.
machine tools
59.
machine translation
60.
machine vector control
61.
machine windings
62.
machine vision
63.
machine-checked proofs
64.
machine-translation
65.
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66.
massive machine type communication (mMTC)
67.
massive machine-type communication (mMTC)
68.
massive machine-type communications (mMTC)
69.
massive Machine-Type connections (mMTC)
70.
multi-class support vector machine (m-SVM)
71.
multi-machine
72.
multi-machine industrial power plant
73.
multi-machine power system
74.
multi-stream interaction machine
75.
neural machine translation
76.
outer-rotor machine
77.
permanent magnet (PM) synchronous machine
78.
permanent magnet flux-switching machine
79.
permanent magnet machine
80.
permanent magnet synchronous machine (PMSM)
81.
reluctance machine
82.
sewing machine operator
83.
spoke-type PM machine
84.
state machine
85.
support vector machine
86.
surface permanent magnet machine (SPM)
87.
switched reluctance machine
88.
switched reluctance machine (SRM)
89.
synchronous machine
90.
TBM (tunnel boring machine)
91.
totally enclosed fan-cooled machine
92.
universal friction machine
93.
virtual synchronous machine
94.
active blended learning
95.
active learning
96.
active learning methods
97.
adaptive learning
98.
algorithm controlling the learning process
99.
appetitive associative learning
100.
approach to learning
101.
Attitude to learning
102.
authoritarian learning
103.
automata learning
104.
bayesian learning
105.
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106.
BIM-enabled learning environment
107.
biophilic learning environments
108.
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109.
business school as learning organization
110.
business school learning organization questionnaire (BSLOQ)
111.
business school learning rate dependence on GPD
112.
business school learning rate measurement instrument
113.
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114.
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115.
client learning
116.
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117.
collaborative learning
118.
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119.
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120.
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121.
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122.
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123.
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124.
computer based learning
125.
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126.
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127.
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128.
coping with online teaching and learning
129.
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131.
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132.
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133.
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134.
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135.
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136.
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137.
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138.
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139.
Deep reinforcing learning SDN
140.
Deep-learning
141.
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142.
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143.
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144.
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145.
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146.
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147.
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148.
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149.
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150.
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152.
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159.
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171.
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172.
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177.
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253.
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255.
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256.
organizational learning
257.
organizational learning measurement instruments
258.
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259.
organizational learning rate measurement
260.
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261.
peer‐to‐peer learning group
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266.
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269.
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reinforcement learning
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relative learning performance
275.
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276.
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277.
reusable learning objects
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280.
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281.
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283.
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284.
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285.
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286.
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287.
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288.
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289.
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290.
stochastic learning theory
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student centred learning
292.
supervised contrastive learning
293.
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supervised learning data
295.
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296.
zero-shot learning
297.
task based learning
298.
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299.
Technological learning
300.
technology-enhanced learning
301.
the dimensions of the learning organisation
302.
the dimensions of the learning organization questionnaire (DLOQ)
303.
tools for interactive learning and teaching
304.
trans-disciplinary social-learning
305.
transfer learning
306.
true online reinforcement learning
307.
ubiquitous learning
308.
unsupervised learning
309.
urban learning center
310.
value of learning
311.
web and computerbased learning
312.
Web and computer-based learning
313.
virtual collaborative learning environment (VCLE)
314.
virtual learning environment
315.
virtual learning factory
316.
work-based learning
317.
workplace learning
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UNDP Urban Learning Center
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0
year of publication
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author
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TalTech department
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subject term
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series
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name of the person
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keyword
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