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machine learning (võtmesõna)
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26
artikkel kogumikus EST
/
artikkel kogumikus ENG
Discretizing numerical attributes : an analysis of human perceptions : [conference paper]
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
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
27
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
2018 IEEE 15th International Workshop on Advanced Motion Control (AMC 2018)
2018
/
p. 523–528 : ill
Driver distraction detection and evaluation with artificial neural network and fuzzy logic : In-vehicle information system as a driver's secondary activity: case study
artikkel kogumikus
28
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
Seotud publikatsioonid
1
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
29
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Ensemble approach for detection of depression using EEG features
Avots, Egils
;
Jermakovs, Klavs
;
Bachmann, Maie
;
Päeske, Laura
;
Ozcinar, Cagri
;
Anbarjafari, Gholamreza
Entropy
2022
/
art. 211
https://doi.org/10.3390/e24020211
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
30
artikkel kogumikus
Estimating UWB positioning integrity based on ranging residuals
Tommingas, Mihkel
;
Ulp, Sander
;
Alam, Muhammad Mahtab
;
Müürsepp, Ivo
;
Laadung, Taavi
2023 24th International Conference on Applied Electromagnetics and Communications (ICECOM)
2023
/
5 p
https://doi.org/10.1109/ICECOM58258.2023.10367954
artikkel kogumikus
31
artikkel kogumikus
Evelekt AS turnover forecasting using the machine learning method
Reiman, Riido
AI IN BUSINESS : proceedings of the scientific workshop on business implications of artificial intelligence, June 7, 2022
2022
/
p. 58-60 : ill
https://www.ester.ee/record=b5506022*est
https://digikogu.taltech.ee/et/Item/2096bada-661d-4928-99a7-bfbce51825d8
artikkel kogumikus
32
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
https://doi.org/10.3390/s22176338
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
33
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
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
https://doi.org/10.15598/aeee.v18i3.3597
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
34
artikkel kogumikus
Forecasting short term wind energy generation using machine learning
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Kütt, Lauri
;
Iqbal, Muhammad Naveed
;
Rosin, Argo
2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 7-9 October 2019 : conference proceedings
2019
/
4 p
https://doi.org/10.1109/RTUCON48111.2019.8982365
artikkel kogumikus
35
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Fractional order sliding mode controller based on supervised machine learning techniques for speed control of PMSM
Zahraoui, Younes
;
Zaihidee, Fardila M.
;
Kermadi, Mostefa
;
Mekhilef, Saad
;
Mubin, Marizan
;
Tang, Jing Rui
;
Zaihidee, Ezrinda M.
Mathematics
2023
/
art. 1457
https://doi.org/10.3390/math11061457
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
36
artikkel ajakirjas
Generation of unmeasured loading levels data for condition monitoring of induction machine using machine learning
Billah, Md Masum
;
Saberi, Alireza Nemat
;
Hemeida, Ahmed
;
Martin, Floran
;
Kudelina, Karolina
;
Asad, Bilal
;
Naseer, Muhammad Usman
;
Mukherjee, Victor
;
Belahcen, Anouar
IEEE transactions on magnetics
2023
https://doi.org/10.1109/TMAG.2023.3312267
artikkel ajakirjas
37
artikkel kogumikus
Hybrid feature selection models for machine learning based botnet detection in IoT networks
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
;
Nõmm, Sven
2019 International Conference on Cyberworlds : CW 2019 : 2-4 October 2019, Kyoto, Japan : proceedings
2019
/
p. 324-327 : ill
https://doi.org/10.1109/CW.2019.00059
artikkel kogumikus
Seotud publikatsioonid
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
38
artikkel kogumikus
The impact of load on global parameters of electrical machines in case of healthy and broken rotor bars
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Autsou, Siarhei
;
Asad, Bilal
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Shabbir, Noman
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
5 l.
https://doi.org/10.1109/BEC56180.2022.9935614
artikkel kogumikus
39
artikkel kogumikus EST
/
artikkel kogumikus ENG
Impact-driven discretization of numerical factors : case of two- and three-partitioning
Kaushik, Minakshi
;
Sharma, Rahul
;
Arakkal Peious, Sijo
;
Draheim, Dirk
Big Data Analytics. BDA 2021 : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021 : proceedings
2021
/
p. 244–260
https://doi.org/10.1007/978-3-030-93620-4_18
Conference Proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe
40
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithms
Khan, Muhammad Amir
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Pomarnacki, Raimondas
;
Hyunh, Van Khang
Machines
2023
/
art. 963
https://doi.org/10.3390/machines11100963
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
41
artikkel ajakirjas
Improving response time of task and Adaboost classifiers in mobile fog computing
Darbanian, Elham
;
Rahbari, Dadmehr
;
Ghanizadeh, Roghayeh
;
Nickray, Mohsen
Jordanian journal of computers and information technology
2020
/
p. 345−360
https://www.ejmanager.com/mnstemps/71/71-1590557276.pdf?t=1608030630
artikkel ajakirjas
42
artikkel ajakirjas
In silico machine learning methods in drug development
Dobchev, Dimitar Atanasov
;
Pillai, Girinath Gopinathan
;
Karelson, Mati
Current topics in medicinal chemistry
2014
/
p. 1913-1922
artikkel ajakirjas
43
artikkel kogumikus
In-depth feature selection and ranking for automated detection of mobile malware
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
Proceedings of the 5th International Conference on Information Systems Security and Privacy : ICISSP 2019 : February 23-25, 2019, Prague, Czech Republic. Vol. 1
2019
/
p. 274-283 : ill
https://doi.org/10.5220/0007349602740283
artikkel kogumikus
Seotud publikatsioonid
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
44
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
In-depth feature selection for the statistical machine learning-based botnet detection in IoT networks
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
IEEE Access
2022
/
p. 94518-94535
https://doi.org/10.1109/ACCESS.2022.3204001
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
45
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Industrial robot training in the simulation using the machine learning agent
Nutonen, Karle
;
Kuts, Vladimir
;
Otto, Tauno
Procedia computer science
2023
/
p. 446-455
https://doi.org/10.1016/j.procs.2022.12.240
Conference Proceedings at Scopus
Article at Scopus
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
46
artikkel kogumikus
Knowledge based decision making in mechanical workshops
Kruuser, Kaarel
;
Riives, Jüri
;
Kiolein, Indrek
Proceedings of the 32nd International DAAAM Virtual Symposium "Intelligent Manufacturing & Automation"
2021
/
p. 0514-0521
https://doi.org/10.2507/32nd.daaam.proceedings.074
artikkel kogumikus
47
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
Saboor, Abdul
;
Kask, Triin
;
Kuusik, Alar
;
Alam, Muhammad Mahtab
;
Le Moullec, Yannick
IEEE Access
2020
/
art. 3022818, p. 167830−167864
https://doi.org/10.1109/ACCESS.2020.3022818
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
48
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Learning timed automata from interaction traces
Vain, Jüri
;
Kanter, Gert
;
Anier, Aivo
IFAC-PapersOnLine
2019
/
p. 205-210
https://doi.org/10.1016/j.ifacol.2019.12.097
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
49
artikkel ajakirjas
Legal engineering of the anti-abuse rule in ATAD : architecture of the regression tree model
Künnapas, Kaido
TalTech journal of European studies
2021
/
p. 65-82 : ill
https://www.ester.ee/record=b5290032*est
artikkel ajakirjas
50
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detection
Guerra Manzanares, Alejandro
;
Luckner, Marcin
;
Bahsi, Hayretdin
Journal of Computer Virology and Hacking Techniques
2022
/
32 p. : ill
https://doi.org/10.1007/s11416-022-00432-3
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Seotud publikatsioonid
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
Kirjeid leitud 103, kuvan
26 - 50
eelmine
1
2
3
4
5
järgmine
võtmesõna
271
1.
adversarial machine learning
2.
adversarial machine-learning
3.
automatic machine learning (autoML)
4.
machine learning
5.
machine learning (ML)
6.
machine learning algorithms
7.
machine learning approach
8.
Machine Learning Explainable model
9.
machine learning for environmental applications
10.
machine-learning
11.
machine-learning predictive model
12.
Parkinson’s disease machine learning
13.
robust machine learning
14.
small data machine learning
15.
supervised machine learning
16.
unsupervised machine learning
17.
machine-to-machine communications
18.
AC machine
19.
Algorithmic State Machine - ASM
20.
axial flux machine
21.
axial flux switched reluctance machine
22.
bearingless machine
23.
brushless machine
24.
coordinate measurring machine
25.
electric machine
26.
electric machine analysis computing
27.
electric machine control
28.
electrical machine
29.
electrical machine cooling
30.
electrical machine design
31.
finite state machine
32.
Finite State Machine - FSM
33.
hierarchical finite state machine
34.
human machine interaction
35.
human machine systems
36.
human-machine interaction
37.
human-machine interface
38.
human-machine system
39.
induction machine
40.
interior permanent magnet machine
41.
interior permanent-magnet synchronous machine (IPMSM)
42.
linear machine
43.
machine bearings
44.
machine condition monitoring
45.
machine control
46.
machine design
47.
machine elements
48.
machine error
49.
machine housing
50.
machine tools
51.
machine vector control
52.
machine windings
53.
machine vision
54.
machine-translation
55.
man-machine systems
56.
massive machine-type communication (mMTC)
57.
massive machine-type communications (mMTC)
58.
massive Machine-Type connections (mMTC)
59.
multi-class support vector machine (m-SVM)
60.
multi-machine
61.
multi-machine industrial power plant
62.
multi-machine power system
63.
multi-stream interaction machine
64.
outer-rotor machine
65.
permanent magnet (PM) synchronous machine
66.
permanent magnet flux-switching machine
67.
permanent magnet machine
68.
permanent magnet synchronous machine (PMSM)
69.
sewing machine operator
70.
state machine
71.
support vector machine
72.
surface permanent magnet machine (SPM)
73.
switched reluctance machine
74.
switched reluctance machine (SRM)
75.
synchronous machine
76.
TBM (tunnel boring machine)
77.
totally enclosed fan-cooled machine
78.
universal friction machine
79.
virtual synchronous machine
80.
active blended learning
81.
active learning
82.
active learning methods
83.
algorithm controlling the learning process
84.
appetitive associative learning
85.
approach to learning
86.
Attitude to learning
87.
authoritarian learning
88.
automata learning
89.
BIM-enabled learning
90.
BIM-enabled learning environment
91.
blended learning
92.
business school as learning organization
93.
business school learning organization questionnaire (BSLOQ)
94.
business school learning rate dependence on GPD
95.
business school learning rate measurement instrument
96.
client learning
97.
Collaborative e-learning
98.
collaborative learning
99.
competence based learning
100.
competence learning
101.
competence-based learning
102.
competency based learning
103.
Component organised learning (COL)
104.
computer assisted language learning
105.
computer based learning
106.
computer-assisted language learning (CALL)
107.
cooperative reinforcement learning
108.
coping with online teaching and learning
109.
customer learning
110.
deep learning
111.
deep learning (DL)
112.
deep learning classifier
113.
deep learning model
114.
deep learning network
115.
deep reinforcement learning
116.
Deep reinforcing learning SDN
117.
Deep-learning
118.
deep-learning (DL)
119.
dictionary learning
120.
digital learning module
121.
Dimensions of Learning Organisation Questionnaire (DLOQ)
122.
distance learning
123.
distant learning
124.
distributed independent reinforcement learning
125.
double Q-learning
126.
effective teaching and learning
127.
e-learning
128.
e‐learning
129.
e-Learning course
130.
e-Learning database
131.
e-learning environment
132.
electronic learning
133.
embedded deep learning
134.
Emergency remote learning
135.
ensemble learning
136.
enterprising and entrepreneurial learning
137.
entrepreneurial learning
138.
entrepreneurial teaching and learning
139.
experiential learning
140.
Federated learning
141.
federated learning (FL)
142.
flexible learning
143.
game based learning
144.
game-based learning
145.
guided in-service learning
146.
hands-on-learning
147.
history learning
148.
hybrid learning
149.
incremental learning
150.
inductive learning
151.
inductive learning algorithm
152.
interactive learning objects
153.
interdisciplinary learning
154.
inverse reinforcement learning
155.
investor learning
156.
iterative learning
157.
Learner-centered learning environment
158.
learning
159.
learning (artificial intelligence)
160.
learning activities
161.
learning adaptation in autonomous vehicles
162.
learning algorithm
163.
learning analysis
164.
learning analytics
165.
learning and experimentation
166.
learning and health outcomes
167.
learning and memory
168.
learning business school
169.
learning by teaching
170.
learning concept
171.
learning difficulties
172.
Learning environment
173.
learning experience
174.
learning infrastructures
175.
Learning Lab
176.
learning management
177.
learning management system
178.
learning management systems
179.
learning methodology
180.
learning metrics
181.
learning models
182.
learning motivation
183.
learning objectives
184.
learning objects
185.
learning organization
186.
learning orientation
187.
learning outcomes
188.
learning process
189.
learning processes
190.
learning rate
191.
learning rate dependence on ownership form
192.
learning rate of organization
193.
learning region
194.
learning situation
195.
learning software agents
196.
learning styles
197.
learning systems
198.
learning technologies
199.
learning theories
200.
learning through the questionnaires
201.
learning university
202.
learning-to-rank
203.
lifelong learning
204.
mathematics students learning habits
205.
Meaningful learning
206.
measuring learning
207.
mobile learning
208.
model learning
209.
Multi-agent reinforcement learning
210.
mutual learning
211.
new learning models
212.
node embedding learning
213.
NREN e-learning
214.
on-device transfer learning
215.
online learning
216.
ontologies for learning systems
217.
ontology learning
218.
organisational learning
219.
organizational learning
220.
organizational learning measurement instruments
221.
organizational learning rate dependence on management
222.
organizational learning rate measurement
223.
outcome oriented learning
224.
peer‐to‐peer learning group
225.
personalised learning
226.
policy learning
227.
problem-based learning
228.
Problem-based learning (PBL)
229.
project learning
230.
project-based learning
231.
Q-learning
232.
Q-learning algorithm
233.
query learning
234.
regional learning
235.
reinforcement learning
236.
Reinforcement Learning (RL)
237.
relative learning performance
238.
Remote learning
239.
research-oriented learning
240.
reusable learning objects
241.
scholarship of teaching and learning
242.
self learning software
243.
self learning system
244.
self-learning
245.
self-regulated learning
246.
semi-supervised learning
247.
smart learning
248.
smart learning environment
249.
social learning
250.
stochastic learning theory
251.
supervised learning
252.
supervised learning data
253.
task based learning
254.
team learning
255.
Technological learning
256.
the dimensions of the learning organisation
257.
the dimensions of the learning organization questionnaire (DLOQ)
258.
tools for interactive learning and teaching
259.
trans-disciplinary social-learning
260.
transfer learning
261.
true online reinforcement learning
262.
ubiquitous learning
263.
unsupervised learning
264.
urban learning center
265.
value of learning
266.
web and computerbased learning
267.
Web and computer-based learning
268.
virtual learning environment
269.
virtual learning factory
270.
work-based learning
271.
workplace learning
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