Otsing - TalTech teadusportaal

kuva

reasta

276

artikkel kogumikus

Predicting students final test results based on previous grades and demographicsPentel, Avar; Kaiva, Lisanne-LiisThe 11th International Conference on Information, Intelligence, Systems and Applications : IISA 2020, 15-17 July 2020, University of Piraeus, Greece2020 / p. 377-382 https://doi.org/10.1109/IISA50023.2020.9284401

artikkel kogumikus

277

artikkel ajakirjas EST / artikkel ajakirjas ENG

Predictive analytics beyond time series : predicting series of events extracted from time series dataMishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; Purkayastha, AdriWind Energy2022 / p. 1596-1609 https://doi.org/10.1002/we.2760 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

278

dissertatsioon

Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajalBignoumba, Nzamba2024 https://doi.org/10.23658/taltech.49/2024 https://www.ester.ee/record=b5700796*est https://digikogu.taltech.ee/et/Item/19abb999-27b2-46a1-8fe6-1f1c43a5fe0d

dissertatsioon

Seotud publikatsioonid 3

279

artikkel kogumikus EST / artikkel kogumikus ENG

PrefaceJallouli, Rim; Tobji, Mohamed Anis Bach; Mcheick, Hamid; Piho, GunnarDigital Economy. Emerging Technologies and Business Innovation : 6th International Conference on Digital Economy, ICDEc 2021, Tallinn, Estonia, July 15–17, 2021 : proceedings2021 / p. v–vi https://link.springer.com/content/pdf/bfm:978-3-030-92909-1/1 Collection metrics at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG

280

artikkel kogumikus

Preliminary analysis of bearing current faults for predictive maintenanceKudelina, Karolina; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van Khang2023 IEEE International Conference on Electric Machines and Drives (IEMDC)2023 / 5 p. : ill https://doi.org/10.1109/IEMDC55163.2023.10238934

artikkel kogumikus

Seotud publikatsioonid 1

Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil

281

artikkel kogumikus

Preliminary analysis of global parameters of induction machine for fault prediction in rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings2022 / p. 243-248 : ill https://doi.org/10.1109/PEMC51159.2022.9962922

artikkel kogumikus

282

artikkel kogumikus

Preliminary results in using attention for increasing attack identification efficiencyAhmad, Tanwir; Truscan, Dragos; Vain, Juri2023 IEEE 16th International Conferenceon Software Testing, Verification andValidation Workshops, ICSTW 2023, 16-20 April 2023, Dublin, Ireland, Proceedings2023 / p. 159 - 164 https://doi.org/10.1109/ICSTW58534.2023.00038

artikkel kogumikus

283

artikkel kogumikus EST / artikkel kogumikus ENG

A primer on public safety communication in the context of terror attacks: the NATO SPS “COUNTER-TERROR” projectAlam, Muhammad Mahtab; Le Moullec, Yannick; Ahmad, Rizwan; Magarini, Maurizio; Reggiani, LucaAdvanced Technologies for Security Applications : Proceedings of the NATO Science for Peace and Security 'Cluster Workshop on Advanced Technologies', 17-18 September 2019, Leuven, Belgium2020 / p. 19-34 https://doi.org/10.1007/978-94-024-2021-0_3 Article collection metrics at Scopus Article at Scopus

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284

artikkel ajakirjas

ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNsMousavi, Seyedhamidreza; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Jenihhin, Maksim; Daneshtalab, MasoudarXiv.org2024 / 12 p. : ill https://doi.org/10.48550/arXiv.2406.06313

artikkel ajakirjas

Seotud publikatsioonid 1

Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

285

artikkel ajakirjas

A probabilistic synapse with strained MTJs for Spiking Neural NetworksPagliarini, Samuel Nascimento; Bhuin, Sudipta; Isgenc, Mehmet Meric; Biswas, Ayan Kumar; Pileggi, LarryIEEE Transactions on Neural Networks and Learning Systems2020 / p. 1113-1123 : ill https://doi.org/10.1109/TNNLS.2019.2917819

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286

artikkel ajalehes

Professor Sven Nõmm AI toimimisest: auto kapoti alt leiad mootori ja tehisintellekti kapoti alt leiad masinõppeNõmm, Svengeenius.ee2024 Professor Sven Nõmm AI toimimisest: auto kapoti alt leiad mootori ja tehisintellekti kapoti alt leiad masinõppe

artikkel ajalehes

287

raamat

Programmi RITA tegevuse 1 projekti „Masinõppe ja AI toega teenused“ lõpparuanneSolvak, Mihkel; Vilo, Jaak; Reisberg, Sulev; Tamm, Sirli; Oja, Marek; Ligi, Kadri; Unt, Taavi; Võrk, Andres; Leets, Peeter; Tammet, Tanel; Vaarandi, Risto; Nõmm, Sven; Lepik, Toomas; Lember, Veiko; Nõmmik, Steven; Noordt, Colin Pascal van; Kerikmäe, Tanel2022 Programmi RITA tegevuse 1 projekti „Masinõppe ja AI toega teenused“ lõpparuanne

raamat

288

dissertatsioon

Radio spectrum and power optimization cognitive techniques for wireless body area networks = Raadiospektri ja võimsuse optimeerimise kognitiivsed tehnikad traadita kehavõrkudeleAhmed, Tauseef2017 https://digi.lib.ttu.ee/i/?7677 https://www.ester.ee/record=b4677631*est

dissertatsioon

289

artikkel kogumikus

Real-time gait anomaly detection using SVM time series classificationRostovski, Jakob; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad Mahtab; Ahmadov, Ulvi2023 International Wireless Communications and Mobile Computing (IWCMC)2023 / p. 1389-1394 https://doi.org/10.1109/IWCMC58020.2023.10182666

artikkel kogumikus

Seotud publikatsioonid 1

Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis

290

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Reinforcement Learning-based Energy Management Strategy for Flexible Hybrid ac/dc MicrogridGutiérrez-Escalona, Javier; Roncero-Clemente, Carlos; Husev, Oleksandr; Matiushkin, Oleksandr; Barrero-González, Fermín; González-Romera, EvaIECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society2025 / 6 p https://doi.org/10.1109/IECON55916.2024.10905501 Conference proceedings at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG

291

artikkel ajakirjas

Relatedness and Product Complexity Meet Gravity Models of International TradeTiits, Marek; Kalvet, Tarmo; Ounoughi, Chahinez; Ben Yahia, SadokJournal of open innovation: technology, market, and complexity2024 / art. 100288 https://doi.org/10.1016/j.joitmc.2024.100288

artikkel ajakirjas

292

artikkel kogumikus

Residential DC load forecasting using long short-term memory network (LSTM)Shabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr; Jalakas, Tanel; Martins, Joao2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)2023 / p. 131-136 https://doi.org/10.1109/SEGE59172.2023.10274596

artikkel kogumikus

293

dissertatsioon

Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteemShabbir, Noman2022 https://doi.org/10.23658/taltech.37/2022 https://digikogu.taltech.ee/et/Item/2c178a6b-f918-4932-bd1b-48fefb7fc7aa https://www.ester.ee/record=b5503996*est

dissertatsioon

Seotud publikatsioonid 6

294

artikkel kogumikus

Residential load forecasting for flexibility prediction using machine learning-based regression modelAhmadiahangar, Roya; Häring, Tobias; Rosin, Argo; Korõtko, Tarmo; Martins, Joao2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)2019 / 4 p. : ill https://doi.org/10.1109/EEEIC.2019.8783634

artikkel kogumikus

295

artikkel kogumikus

Residential load forecasting using machine learning techniques : a comparative analysisShabbir, Noman20th International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Tallinn, Estonia, September 8-10, 20212021 / p. 73-74 : ill https://www.ester.ee/record=b5457278*est

artikkel kogumikus

296

artikkel kogumikus

Residential load forecasting using recurrent neural networksShabbir, Noman; Ahmadiahangar, Roya; Raja, Hadi Ashraf; Kütt, Lauri; Rosin, Argo2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 478-481 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565

artikkel kogumikus

297

artikkel ajakirjas EST / artikkel ajakirjas ENG

A review on remote-sensing-based harmful cyanobacterial bloom monitoring servicesJanatian, Nasim; Raudsepp, Urmas; Broomandi, Parya; Fickas, Kate; Olli, Kalle; Heimovaara, Timo; Männik, Aarne; Uiboupin, Rivo; Pahlevan, NimaRemote sensing applications society and environment2025 / art. 101488 https://doi.org/10.1016/j.rsase.2025.101488

artikkel ajakirjas EST / artikkel ajakirjas ENG

298

artikkel ajakirjas

A review on the application of machine learning in gamma spectroscopy : challenges and opportunitiesZehtabvar, Mehrnaz; Taghandiki, Kazem; Madani, Nahid; Sardari, Dariush; Bashiri, BashirSpectroscopy journal2024 / p. 123-144 https://doi.org/10.3390/spectroscj2030008

artikkel ajakirjas

299

artikkel ajakirjas EST / artikkel ajakirjas ENG

A robust pathological voices recognition system based on DCNN and scattering transformSouli, Sameh; Amam, Rimah; Ben Yahia, SadokApplied acoustics2021 / art. 107854 : ill https://doi.org/10.1016/j.apacoust.2020.107854 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

300

artikkel ajakirjas

Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approachGazori, Pegah; Rahbari, Dadmehr; Nickray, MohsenFuture generation computer systems2020 / p. 1098-1115 https://doi.org/10.1016/j.future.2019.09.060

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