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251
dissertation
A legally relevant socio-technical language development for smart contracts = Arukate lepingute jaoks õiguslikult asjakohane sotsiaal-tehniline keelearendus
Dwivedi, Vimal Kumar
2022
https://doi.org/10.23658/taltech.14/2022
https://digikogu.taltech.ee/et/Item/f69ec767-0112-4342-9d4c-aceb37502c0b
https://www.ester.ee/record=b5497769*est
dissertation
Related publications
6
A legally relevant socio-technical language development for smart contracts
Formal-verification of smart-contract languages : a survey
A formal specification smart-contract language for legally binding decentralized autonomous organizations
A legal-relationship establishment in smart contracts : ontological semantics for programming-language development
Legally enforceable smart-contract languages : a systematic literature review
Auto-generation of smart contracts from a domain-specific XML-based language
252
dissertation
Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
Valla, Elli
2025
https://digikogu.taltech.ee/et/Item/e7c8ea35-6739-43fc-8f24-0c8607c62346
https://doi.org/10.23658/taltech.26/2025
https://www.ester.ee/record=b5747730*est
dissertation
Related publications
8
Tremor-related feature engineering for machine learning based Parkinson’s disease diagnostics
Generative adversarial networks as a data augmentation tool for CNN-based Parkinson's disease diagnostics
Machine learning based analysis of the upper limb freezing during handwriting in Parkinson's disease patients
Transforming fatigue assessment : smartphone-based system with digitized motor skill tests
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s disease
Enhancing cerebral palsy gait analysis with 3D computer vision : a dual-camera approach
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease
253
journal article EST
/
journal article 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
journal article EST
/
journal 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
254
journal article EST
/
journal article ENG
LightGBM-based fault diagnosis of rotating machinery under changing working conditions using modified recursive feature elimination
Saberi, Alireza Nemat
;
Belahcen, Anouar
;
Sobra, Jan
;
Vaimann, Toomas
IEEE Access
2022
/
p. 81910-81925
https://doi.org/10.1109/ACCESS.2022.3195939
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
255
book article EST
/
book article ENG
Lightweight machine learning-based intrusion detection under class imbalance in smart grids
Saleh, Eman Salem Saadallah
;
Bahsi, Hayretdin
;
Chub, Andrii
2025 IEEE 66th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
2025
/
6 p
https://doi.org/10.1109/RTUCON67996.2025.11415103
book article EST
/
book article ENG
256
newspaper article
Loovus pilves – TraynMe viib filmitööstuse uude ajastusse
Vaaks, Eveliis
Trialoog
2025
https://trialoog.taltech.ee/loovus-pilves-traynme-viib-filmitoostuse-uude-ajastusse/
newspaper article
257
book article
Lowering uncertainty of cancer classification
Okun, O.
;
Priisalu, Helen
Proceedings of IPMU'08
2008
/
p. 543-550 : ill
book article
258
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
Related publications
1
Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
259
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
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
260
journal article EST
/
journal article ENG
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 metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
261
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
Article at Scopus
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
262
book article EST
/
book article ENG
Machine learning based computational models for increased accuracy and enabling digital twins
Kõrgesaar, Mihkel
;
Yatkin, Muhammed Adil
Proceedings of ASME 2025 : 44th International Conference on Ocean, Offshore andArctic Engineering (OMAE2025) ; vol. 7
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 2025
2025
/
art. V007T14A014
https://doi.org/10.1115/OMAE2025-157406
Conference proceeding at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
263
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
264
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
265
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
266
journal article EST
/
journal article ENG
Machine learning for android malware detection : mission accomplished? a comprehensive review of open challenges and future perspectives
Guerra-Manzanares, Alejandro
Computers and Security
2024
/
art. 103654
https://doi.org/10.1016/j.cose.2023.103654
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
267
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
/
p. 36
https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf
book article
268
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
269
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
270
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
271
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
Article collection metrics at Scopus
Article at Scopus
book article EST
/
book article ENG
272
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
273
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
274
book article EST
/
book article ENG
Machine learning-based analysis of human motions for Parkinson’s disease diagnostics
Nõmm, Sven
Extended Abstracts 2021/2022 : Methusalem Lectures
2024
/
p. 263-298
https://doi.org/10.1007/978-3-031-48579-4_27
Article Collection metrics at Scopus
Article at Scopus
book article EST
/
book article ENG
275
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
Related publications
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
MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT network
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
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
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