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151
book article
Machine learning and deep learning techniques for residential load forecasting : a comparative analysis
Shabbir, Noman
;
Kütt, Lauri
;
Raja, Hadi Ashraf
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Husev, Oleksandr
2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings
2021
/
p. 1-5
https://doi.org/10.1109/RTUCON53541.2021.9711741
book article
Seotud publikatsioonid
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
152
journal article EST
/
journal article ENG
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
Journal metrics at Scopus
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journal article EST
/
journal article ENG
153
journal article
Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density
Zhao, Shunli
;
Jiang, Bin
;
Song, Kaikai
;
Liu, Xiaoming
;
Wang, Wenyu
;
Si, Dekun
;
Zhang, Jilei
;
Chen, Xiangyan
;
Zhou, Changshan
;
Liu, Pingping
;
Chen, Dong
;
Zhang, Zequn
;
Ramasamy, Parthiban
;
Tang, Junlei
;
Lv, Wenquan
;
Prashanth, Konda Gokuldoss
;
Sopu, Daniel
;
Eckert, Jurgen
Materials & design
2024
/
art. 112634
https://doi.org/10.1016/j.matdes.2024.112634
journal article
154
journal article EST
/
journal article 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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journal article EST
/
journal article ENG
155
book article EST
/
book article 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
book article EST
/
book article ENG
156
book article
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
book article
157
book article
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
book article
158
book article
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
book article
159
journal article EST
/
journal article 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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journal article EST
/
journal article ENG
160
book article
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
book article
161
book article
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
book article
162
book article EST
/
book article 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
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book article EST
/
book article ENG
163
book article
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
book article
164
book article
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
book article
165
dissertation
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
dissertation
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
166
book article
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
book article
167
journal article EST
/
journal article 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
journal article EST
/
journal article ENG
168
journal article EST
/
journal article ENG
Malicious accounts detection from online social networks : a systematic review of literature
Ben Sassi, Imen
;
Ben Yahia, Sadok
International Journal of General Systems
2021
/
p. 741−814
https://doi.org/10.1080/03081079.2021.1976773
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
169
newspaper article
Masinõpe toetab maksimaalselt kiiret ja tõrgeteta tootmist
Alvela, Ain
ohtuleht.ee
2024
Masinõpe toetab maksimaalselt kiiret ja tõrgeteta tootmist
newspaper article
170
dissertation
Measurement of Higgs boson properties in leptonic final states using ML-methods = Higgsi bosoni omaduste mõõtmine leptoneid sisaldavates kanalites kasutades masinõppe meetodeid
Tani, Laurits
2024
https://www.ester.ee/record=b5685160*est
https://doi.org/10.23658/taltech.25/2024
https://digikogu.taltech.ee/et/Item/95677715-7be7-4696-a8a6-cdbe321761b2
dissertation
Seotud publikatsioonid
6
Search for Higgs boson pairs decaying to WW*WW*, WW*ττ, and ττττ in proton-proton collisions at √s = 13 TeV
Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics : [preprint]
Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics
Search for Higgs boson pairs decaying to WW*WW*, WW*ττ, and ττττ in proton-proton collisions at √s = 13 TeV : [preprint]
Tau lepton identification and reconstruction : a new frontier for jet-tagging ML algorithms
Tau lepton identification and reconstruction : a new frontier for jet-tagging ML algorithms : [preprint]
171
journal article EST
/
journal article ENG
A method for assessment of the general circulation model quality using the K-means clustering algorithm : a case study with GETM v2.5
Raudsepp, Urmas
;
Maljutenko, Ilja
Geoscientific model development
2022
/
p. 535-551
https://doi.org/10.5194/gmd-15-535-2022
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
172
journal article
Methodology for reconfigurable cobot-based quality control system for SME production
Moor, Madis
;
Sarkans, Martinš
;
Riives, Jüri
;
Otto, Tauno
;
Vano, Jaime Masia
International Journal of Engineering and Technology (IJET)
2024
/
7 p
journal article
173
journal article EST
/
journal article ENG
Microgrid oriented modeling of space heating system based on neural networks
Häring, Tobias
;
Kull, Tuule Mall
;
Ahmadiahangar, Roya
;
Rosin, Argo
;
Thalfeldt, Martin
;
Biechl, Helmuth
Journal of building engineering
2021
/
art. 103150, 12 p. : ill
https://doi.org/10.1016/j.jobe.2021.103150
Journal metrics at Scopus
Article at Scopus
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journal article EST
/
journal article ENG
Seotud publikatsioonid
1
Research and development of energy storage control strategies for residential area microgrids = Energiasalvestite juhtimisstrateegiate uurimine ja arendamine elamupiirkondade mikrovõrkudele
174
newspaper article
Miks masinõpe laialdast kasutust ei leia? [Võrguväljaanne]
toostusuudised.ee
2021
"Miks masinõpe laialdast kasutust ei leia?"
newspaper article
175
newspaper article
Mis toimub tehisintellekti „kapoti all“ ja miks me seda teadma peame? [Võrguväljaanne]
delfi.ee
2022
Mis toimub tehisintellekti „kapoti all“ ja miks me seda teadma peame?
newspaper article
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