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226
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
227
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
228
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
229
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
230
journal article EST
/
journal article ENG
A machine learning-based forensic tool for image classification - a design science approach
Del Mar-Raave, Joanna Rose
;
Bahsi, Hayretdin
;
Mrsic, Leo
;
Hausknecht, Kresimir
Forensic Science International : Digital Investigation
2021
/
art. 301265, 13 p
https://doi.org/10.1016/j.fsidi.2021.301265
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
231
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
232
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
233
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
234
newspaper article
Masinõpe toetab maksimaalselt kiiret ja tõrgeteta tootmist
Alvela, Ain
ohtuleht.ee
2024
Masinõpe toetab maksimaalselt kiiret ja tõrgeteta tootmist
newspaper article
235
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
Related publications
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]
236
dissertation
Measures of Impact and Confounding – An Analysis and Experimental Comparison of Novel and Established Measures = Mõju ja segajate mõõdikud – uute ja väljakujunenud meetmete analüüs ja eksperimentaalne võrdlus
Arakkal Peious, Sijo
2025
https://www.ester.ee/record=b5745850*est
https://digikogu.taltech.ee/et/Item/81726e4a-6f3a-429b-8580-ae7710da881d
https://doi.org/10.23658/taltech.24/2025
dissertation
Related publications
5
Grand reports : a tool for generalizing association rule mining to numeric target values
Enabling sensemaking and trust in communities : an organizational perspective
On observing patterns of correlations during drill-down
On Choosing the Columnar In-Memory Database Hyrise as High-Performant Implementation Platform for the Grandreport Tool
On measuring confounding bias in mixed multidimensional data : case of coerced multiple linear regression adjustment
237
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
Journal methods at WOS
Article at WOS
journal article EST
/
journal article ENG
238
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
/
p. 113-119
https://doi.org/10.7763/IJET.2024.V16.1265
journal article
239
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Research and development of energy storage control strategies for residential area microgrids = Energiasalvestite juhtimisstrateegiate uurimine ja arendamine elamupiirkondade mikrovõrkudele
240
newspaper article
Miks masinõpe laialdast kasutust ei leia? [Võrguväljaanne]
toostusuudised.ee
2021
"Miks masinõpe laialdast kasutust ei leia?"
newspaper article
241
journal article
Miks meil on vaja TI-insenere?
Luberg, Ago
Mente et Manu
2025
/
lk. 4-5 : fot
https://www.ester.ee/record=b1242496*est
journal article
242
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
243
book article
ML-based online design error localization for RISC-V implementations
Selg, Hardi
;
Jenihhin, Maksim
;
Ellervee, Peeter
;
Raik, Jaan
2023 IEEE 29th International Symposium on On-Line Testing and Robust System Design (IOLTS) : IOLTS 2023 : July 3rd-5th, 2023, Platanias, Chania (Crete), Greece : proceedings
2023
/
7 p.
https://doi.org/10.1109/IOLTS59296.2023.10224864
book article
244
book article
MLC: a machine learning based checker for soft error detection in embedded processors
Nosrati, Nooshin
;
Jenihhin, Maksim
;
Navabi, Zainalabedin
Proceedings - 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design, IOLTS 2022
2022
/
Code 183305
https://doi.org/10.1109/IOLTS56730.2022.9897309
Article at Scopus
Article at WOS
book article
245
newspaper article
Mobiilse pahavara plahvatusele võib pakkuda leevendust masinõpe [Võrguväljaanne]
Oidermaa, Jaan-Juhan
novaator.err.ee
2022
Mobiilse pahavara plahvatusele võib pakkuda leevendust masinõpe
newspaper article
246
book article
Model-free deep reinforcement learning-based current control for the dual-purpose dc-dc/ac power converter
Gutierrez-Escalona, Javier
;
Roncero-Clemente, Carlos
;
Husev, Oleksandr
;
Matiushkin, Oleksandr
;
Barrero-Gonzalez, Fermin
;
Gonzalez-Romera, Eva
2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
2024
/
6 p
https://doi.org/10.1109/CPE-POWERENG60842.2024.10604305
book article
247
journal article
Monotone systems approach in inductive learning
Roosmann, Peeter
;
Võhandu, Leo
;
Kuusik, Rein, inform.
;
Treier, Tarvo
;
Lind, Grete
International journal of applied mathematics and informatics
2008
/
2, p. 47-56 : ill
https://datalaundering.com/download/ami-30.pdf
journal article
248
journal article EST
/
journal article ENG
Multi-objective machine learning optimization of cylindrical TPMS lattices for bone implants
Rezapourianghahfarokhi, Mansoureh
;
Cheloee Darabi, Ali
;
Khoshbin, Mohammadreza
;
Hussainova, Irina
Biomimetics
2025
/
art. 475
http://doi.org/10.3390/biomimetics10070475
journal article EST
/
journal article ENG
249
book article EST
/
book article ENG
Multi-Rate Vibration Signal Analysis for Enhanced Data-Driven Monitoring of Bearing Faults in Induction Machines
El Bouharrouti, Nada
;
Koveshnikov, Semen
;
Garcia-Calva, Tomas Alberto
;
Vehvilainen, Milla
;
Kudelina, Karolina
;
Naseer, Muhammad Usman
;
Vaimann, Toomas
;
Belahcen, Anouar
2024 International Conference on Electrical Machines, ICEM 2024
2024
/
7 p.
http://dx.doi.org/10.1109/ICEM60801.2024.10700488
book article EST
/
book article ENG
250
book article EST
/
book article ENG
Multi-step ahead short-term residential DC load forecasting : A comparative study of NGBoost-based algorithms
Shabbir, Noman
;
Husev, Oleksandr
;
Hokmabad, Hossein Nourollahi
;
Daniel, Kamran
;
Jawad, Muhammad
;
Martins, Joao
2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)
2025
/
6 p
https://doi.org/10.1109/ICDCM63994.2025.11144710
book article EST
/
book article ENG
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