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book article

Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741

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Related publications 1

Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem

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A machine learning approach to achieving energy efficiency in relay-assisted LTE-a downlink systemHassan, Hammad; Ahmed, Ifran; Ahmad, Rizwan; Khammari, Hedi; Bhatti, Ghulam; Ahmed, Waqas; Alam, Muhammad MahtabSensors2019 / art. 3461, 25 p. : ill https://doi.org/10.3390/s19163461 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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228

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Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low densityZhao, 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, JurgenMaterials & design2024 / art. 112634 https://doi.org/10.1016/j.matdes.2024.112634 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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229

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Machine learning based analysis of the upper limb freezing during handwriting in Parkinson's disease patientsGorbatšov, Vassili; Valla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-PapersOnLine2022 / p. 91-95 https://doi.org/10.1016/j.ifacol.2022.10.237 Conference Proceeding metrics at Scopus Article at Scopus Article at WOS

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Leveraging artiﬁcial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks

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Machine learning based emotion recognition in a digital learning environmentIvleva, Natalja; Pentel, Avar; Dunajeva, Olga; Juštšenko, ValeriaLearning in the Age of Digital and Green Transition : Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 12023 / p. 405-412 https://doi.org/10.1007/978-3-031-26876-2_38 Conference proceedings at Scpous Article at Scopus Article at WOS

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231

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Machine learning clustering techniques for selective mitigation of critical design featuresLange, Thomas; Balakrishnan, Aneesh; Glorieux, Maximilien; Alexandrescu, Dan; Sterpone, LucaProceedings : 2020 26th IEEE International Symposium on On-Line Testing and Robust System Design : IOLTS 2020, Napoli, Italy, July 13-16, 2020 : virtual edition2020 / 7 p. : ill https://doi.org/10.1109/IOLTS50870.2020.9159751

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232

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Machine learning enabled fault-detection algorithms for optical spectrum-as-a-service usersPatri, Sai Kireet; Dick, Isabella; Kaeval, Kaida; Müller, Jasper; Pedreno-Manresa, Jose-Juan; Autenrieth, Achim; Elbers, Jörg-Peter; Tikas, Marko; Mas-Machuca, Carmen2023 International Conference on Optical Network Design and Modeling (ONDM) : proceedings2023 / 6 p. : ill https://ieeexplore.ieee.org/document/10144858

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Machine learning for android malware detection : mission accomplished? a comprehensive review of open challenges and future perspectivesGuerra-Manzanares, AlejandroComputers and Security2024 / 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

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234

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Machine learning Forecasting of Absolute Dynamic Topography in the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 36 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

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235

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Machine learning meets communication networks : current trends and future challengesAhmad, Ijaz; Shahabuddin, Shariar; Malik, Hassan; Leppänen, Teemu; Loven, Lauri; Anttonen, Antti; Sodhro, Ali Hassan; Alam, Muhammad Mahtab; Juntti, Markku; Yla-Jääski, AnttiIEEE Access2020 / art. 9274307, p. 223418-223460 https://doi.org/10.1109/ACCESS.2020.3041765 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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236

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Machine learning prediction for filling the interruptions of tide gauge data using a least square estimation method from nearest stationsJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuGeodesy for a Sustainable Earth, Scientific Assembly of the International Association of Geodesy : abstract book2021 / 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

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237

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Machine learning task as a diclique extracting taskKuusik, Rein, inform.; Treier, Tarvo; Lind, Grete; Roosmann, Peeter2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery : FSKD'09 : Tianjin, China, August 14-16, 2009. 12009 / p. 555-560 https://ieeexplore.ieee.org/document/5358516

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Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g eraJameel, 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

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239

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Machine learning to tackle the challenges of transient and soft errors in complex circuitsLange, Thomas; Balakrishnan, Aneesh; Glorieux, Maximilien; Alexandrescu, Dan; Sterpone, Luca2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS), 1-3 July 2019, Greece2019 / p. 7-14 : ill https://doi.org/10.1109/IOLTS.2019.8854423

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Machine learning vs human learningHenno, Jaak; Jaakkola, Hannu; Mäkelä, Jukka2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), September 27 - October 1, 2021, Opatija, Croatia : proceedings2021 / p. 542−548 https://doi.org/10.23919/MIPRO52101.2021.9596771

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Machine learning-based analysis of human motions for Parkinson’s disease diagnosticsNõmm, SvenExtended Abstracts 2021/2022 : Methusalem Lectures2024 / p. 263-298 https://doi.org/10.1007/978-3-031-48579-4_27 Article Collection metrics at Scopus Article at Scopus

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242

dissertation

Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoksGuerra Manzanares, Alejandro2022 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

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A machine learning-based forensic tool for image classification - a design science approachDel Mar-Raave, Joanna Rose; Bahsi, Hayretdin; Mrsic, Leo; Hausknecht, KresimirForensic Science International : Digital Investigation2021 / 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

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244

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Machine learning-based optimization design workflow based on obstruction angles for building facadesSepulveda Luque, Abel; Eslamirad, Nasim; Seyed Salehi, Seyed Shahabaldin; Thalfeldt, Martin; De Luca, FrancescoRegenerating 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 20232023 / p. 15-24 https://digikogu.taltech.ee/et/Item/c29fc911-ec34-45da-afe6-bc1e8515e15d

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Machine learning-based prediction of specific energy consumption for cut-off grindingAwan, Muhammad Rizwan; Rojas, Hernan A. Gonzalez; Hameed, Saqib; Riaz, Fahid; Hamid, Shahzaib; Hussain, AbrarSensors2022 / art. 7152 https://doi.org/10.3390/s22197152 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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246

journal article

Mairo Leier: olen väikesest peale tahtnud luua midagi uutLeier, MairoMente et Manu2025 / lk. 14-19 : fot https://www.ester.ee/record=b1242496*est

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247

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Malicious accounts detection from online social networks : a systematic review of literatureBen Sassi, Imen; Ben Yahia, SadokInternational Journal of General Systems2021 / 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

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248

newspaper article

Masinõpe toetab maksimaalselt kiiret ja tõrgeteta tootmistAlvela, Ainohtuleht.ee2024 Masinõpe toetab maksimaalselt kiiret ja tõrgeteta tootmist

newspaper article

249

dissertation

Measurement of Higgs boson properties in leptonic final states using ML-methods = Higgsi bosoni omaduste mõõtmine leptoneid sisaldavates kanalites kasutades masinõppe meetodeidTani, Laurits2024 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

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Related publications 6

250

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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 võrdlusArakkal Peious, Sijo2025 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

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