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1
dissertation
Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites
Zequera, Rolando Antonio Gilbert
2025
https://www.ester.ee/record=b5758189*est
https://digikogu.taltech.ee/et/Item/7ecb1e38-a591-47c5-b37e-7c2e901d05f1
https://doi.org/10.23658/taltech.61/2025
dissertation
Related publications
10
Overview of digital twin platforms for EV applications
Overview of battery energy storage systems readiness for digital twin of electric vehicles
Modeling battery energy storage systems based on remaining useful lifetime through regression algorithms and binary classifiers
Clustering and outlier analysis for key performance indicators in battery energy storage systems applications
Data science-based techniques for modelling and diagnostics of battery cells based on end-of-life criteria
Health and charge indicators for battery energy storage systems in electric vehicles applications
Deep Learning methodology for charging management applications in battery cells based on Neural Networks
Kolmogorov-Arnold networks for algorithm design in battery energy storage system applications
Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models
Meetod, seade, arvutiloetav andmekandja juhiste salvestamiseks ja tarkvaratoode akude energiasalvestussüsteemi (BESS) haldamiseks, kasutades Kolmogorov-Arnoldi võrke (KAN-e)
2
book article EST
/
book article ENG
Comparison and evaluation of learning capabilities of deep learning methods for predicting ship motions
Zhang, Mingyang
;
Liu, Con
;
Kujala, Pentti Jouko Sakari
;
Hirdaris, Spyros
Proceedings of 15th International Marine Design Conference (IMDC-2024)
2024
/
p. 1499-1510
https://doi.org/10.59490/imdc.2024.838
book article EST
/
book article ENG
3
book article
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease
Valla, Elli
;
Laur, Henry
;
Nõmm, Sven
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
2023 International Conference on Machine Learning and Applications (ICMLA)
2023
/
p. 1066-1071 : ill
https://doi.org/10.1109/ICMLA58977.2023.00158
book article
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
4
journal article
Deep magnitude management of clinical code embeddings to predict unplanned hospital readmissions
Bignoumba, Nzamba
;
Bertl, Markus
;
Mellouli, Nedra
;
Ben Yahia, Sadok
Research Square
2024
/
32 p. : ill
https://doi.org//10.21203/rs.3.rs-4705729/v1
journal article
Related publications
1
Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal
5
book article
Deep reinforcement learning for automated tuning of cavity filters
Sekhri, Even
;
Tamre, Mart
;
Kapoor, Rajiv
Proceedings of ieeeforum International Conference
2019
/
p. 53
http://www.digitalxplore.org/up_proc/pdf/408-154943387153.pdf
book article
6
dissertation
Efficient Deep Learning Model Optimization for Resource Constrained Devices = Tõhus süvaõppe mudeli optimeerimine piiratud ressurssidega seadmete jaoks
Ademola, Olutosin Ajibola
2025
https://www.ester.ee/record=b5750529*est
https://digikogu.taltech.ee/et/Item/183f6305-2924-4e30-a7cc-d06ac86581b8
https://doi.org/10.23658/taltech.37/2025
dissertation
Related publications
3
Evaluation of deep neural network compression methods for edge devices using weighted score-based ranking scheme
Ensemble of Tensor Train Decomposition and Quantization Methods for Deep Learning Model Compression
Resource-aware scene text recognition using learned features, quantization, and contour-based character extraction
7
book article
Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification
Kalakoti, Rajesh
;
Vaarandi, Risto
;
Bahsi, Hayretdin
;
Nõmm, Sven
Proceedings of the 11th International Conference on Information Systems Security and Privacy (ICISSP 2025). Vol. 1
2025
/
p. 47-58 : ill
https://doi.org//10.5220/0013180700003899
book article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
8
journal article EST
/
journal article ENG
Evaluation of deep learning-based depression detection using medical claims data
Bertl, Markus
;
Bignoumba, Nzamba
;
Ross, Peeter
;
Ben Yahia, Sadok
;
Draheim, Dirk
Artificial intelligence in medicine
2024
/
art. 102745, 16 p. : ill
https://doi.org/10.1016/j.artmed.2023.102745
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal
9
journal article EST
/
journal article ENG
Explainable Artificial Intelligence (XAI) techniques for energy and power systems : review, challenges and opportunities
Machlev, Ram
;
Heistrene, L.
;
Perl, M.
;
Levy, K. Y.
;
Belikov, Juri
;
Mannor, S.
;
Levron, Yoash
Energy and AI
2022
/
art. 100169, 13 p. : ill
https://doi.org/10.1016/j.egyai.2022.100169
Journal metrics at Scopus
Article at Scopus
Article at WOS
journal article EST
/
journal article ENG
10
dissertation
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
Kalakoti, Rajesh
2025
https://www.ester.ee/record=b5769273*est
https://doi.org/10.23658/taltech.82/2025
https://digikogu.taltech.ee/et/Item/38fc238a-36e3-456c-9302-d0e702e9fc5a
dissertation
Related publications
11
In-depth feature selection for the statistical machine learning-based botnet detection in IoT networks
Enhancing IoT botnet attack detection in SOCs with an explainable active learning framework
Explainable federated learning for Botnet Detection in IoT networks
Improving IoT security with explainable AI : quantitative evaluation of explainability for IoT botnet detection
Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)
Explainable transformer-based intrusion detection in Internet of Medical Things (IoMT) networks
Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks
Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification
Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks
Synthetic Data-Driven Explainability for Federated Learning-based Intrusion Detection System
Exploring the Impact of Feature Selection on Non-Stationary Intrusion Detection Models in IoT Networks
11
journal article
Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
Computer networks
2025
/
art. 111479, 23 p. : ill
https://doi.org/10.1016/j.comnet.2025.111479
journal article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
12
book article
Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)
2023
/
p. 595-601
https://doi.org/10.1109/ICMLA58977.2023.00088
book article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
13
book article EST
/
book article ENG
Instantaneous sea surface height prediction using satellite altimetry and deep learning
Rajabi-Kiasari, Saeed
;
Delpeche-Ellmann, Nicole Camille
;
Ellmann, Artu
Living Planet Symposium (LPS25)
2025
https://lps25.esa.int/
book article EST
/
book article ENG
14
book article
Kuidas me alustasime rootsi keele süvaõppega
Udam, Maiki
Gustav Adolfi Gümnaasiumi koolilood : XX sajand
2009
/
lk. 261-263
book article
15
dissertation
Microfluidic Droplet Detection, Classification and Quality Assessment for Embedded Flow Cytometry Systems = Tilkade tuvastamine mikrofluidikas, nende klassifitseerimine ja kvaliteedi hindamine sardsetes voolutsütomeetria süsteemides
Afrin, Fariha
2025
https://www.ester.ee/record=b5758191*est
https://digikogu.taltech.ee/et/Item/fa72df11-6487-4314-bd3d-5a7b1f5a263e
https://doi.org/10.23658/taltech.57/2025
dissertation
Related publications
5
Embedded blur-free single-image acquisition pipeline for droplet microfluidic imaging flow cytometry (IFC)
CogniFlow: integrated modular system for automated droplet microfluidic bioanalysis
Microfluidic droplet classification through tuned convolutional neural network on a resource constrained platform
CNN-Transformer Hybrid Model Towards Automated Droplet Image Quality Assessment of Portable Imaging Flow Cytometer
Lightweight CNN-based Microfluidic Droplet Classification for Portable Imaging Flow Cytometry
16
newspaper article
Milline on tehisintellekti tegelik potentsiaal elektrisüsteemide rakendustes?
digi.geenius.ee
2022
Milline on tehisintellekti tegelik potentsiaal elektrisüsteemide rakendustes?
https://doi.org/10.1016/j.egyai.2022.100169
newspaper article
17
journal article EST
/
journal article ENG
A new efficient ALignment-driven Neural Network for mortality prediction from irregular multivariate time series data [Formula presented]
Bignoumba, Nzamba
;
Mellouli, Nedra
;
Ben Yahia, Sadok
Expert systems with applications
2024
/
art. 122148
https://doi.org/10.1016/j.eswa.2023.122148
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal
18
book article
A novel real-time parametric tracking approach for robust microwave filter tuning
Sekhri, Even
;
Tamre, Mart
;
Kapoor, Rajiv
;
Kumar, Rahul, 1993-
2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)
2023
/
5 p. : ill
https://doi.org/10.1109/AIBThings58340.2023.10292473
book article
Related publications
1
Fully automated tuning of microwave coaxial cavity filters = Mikrolaine-koaksiaalfiltrite täisautomaatne häälestamine
19
journal article EST
/
journal article ENG
Open source dataset generator for power quality disturbances with deep-learning reference classifiers
Machlev, Ram
;
Chachkes, A.
;
Belikov, Juri
;
Beck, Yuval
;
Levron, Yoash
Electric power systems research
2021
/
art. 107152, 7 p. : ill
https://doi.org/10.1016/j.epsr.2021.107152
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
20
dissertation
Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal
Bignoumba, Nzamba
2024
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
dissertation
Related publications
3
Evaluation of deep learning-based depression detection using medical claims data
A new efficient ALignment-driven Neural Network for mortality prediction from irregular multivariate time series data [Formula presented]
Deep magnitude management of clinical code embeddings to predict unplanned hospital readmissions
21
journal article EST
/
journal article ENG
A public dataset for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers
Sun, Zhenglong
;
Machlev, Ram
;
Wang, Qianchao
;
Belikov, Juri
;
Levron, Yoash
;
Baimel, Dmitry
Energy and AI
2023
/
art. 100274, 17 p
https://doi.org/10.1016/j.egyai.2023.100274
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
22
journal article EST
/
journal article ENG
Resource-aware scene text recognition using learned features, quantization, and contour-based character extraction
Ademola, Olutosin Ajibola
;
Petlenkov, Eduard
;
Leier, Mairo
IEEE Access
2023
/
p. 56865 - 56874
https://doi.org/10.1109/ACCESS.2023.3283931
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Efficient Deep Learning Model Optimization for Resource Constrained Devices = Tõhus süvaõppe mudeli optimeerimine piiratud ressurssidega seadmete jaoks
23
journal article EST
/
journal article ENG
Structural health monitoring on offshore jacket platforms using a novel ensemble deep learning model
Wang, Mengmeng
;
Incecik, Atilla
;
Tian, Zhe
;
Zhang, Mingyang
;
Kujala, Pentti Jouko Sakari
;
Gupta, Munish
;
Krolczyk, Grzegorz
;
Li, Zhixiong
Ocean engineering
2024
/
art. 117510
https://doi.org/10.1016/j.oceaneng.2024.117510
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
24
newspaper article
Süvaõpe TTÜs : [TTÜ üksustes läbiviidud küsitluse tulemused : prof. Jaan Janno matemaatika erikursuse annotatsioonidega]
Tammemäe, Kalle
;
Janno, Jaan
Mente et Manu
2012
/
lk. 2, 5 : ill.
https://www.ester.ee/record=b1242496*est
newspaper article
25
newspaper article
Süvaõppest TTÜs : [TTÜ üksustes läbiviidud küsitluse tulemused]
Tammemäe, Kalle
Mente et Manu
2012
/
lk. 2
https://www.ester.ee/record=b1242496*est
newspaper article
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