RTU Zinātniskās darbības rezultāti un resursi: Personāls

Informācija par autoru

Vārds, Uzvārds:

Marta Narigina

Struktūrvienība:

(33500) Informācijas tehnoloģijas institūts

E-pasts:

Marta.Narigina(at)rtu.lv

Publikācijas

Atrasti 10 rezultāti tiek attēloti no 1 līdz 10.

Model Transformations Used in IT Project Initial Phases: Systematic Literature Review
(2025)

Oksana Ņikiforova, Kristaps Babris, Uldis Karlovs-Karlovskis, Marta Narigina, Andrejs Romānovs, Anita Jansone, Jānis Grabis, Oscar Pastor Lopez
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation
(2025)

Marta Narigina, Agris Vindecs, Dušanka Boškovič, Jurijs Merkurjevs, Andrejs Romānovs
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2024): Proceedings
(2024)

Andrejs Romānovs, Dalius Navakauskas, Marta Narigina
Zinātniskās monogrāfijas vai kolektīvas monogrāfijas

Digital Twin Technology in Healthcare: A Literature Review
(2024)

Marta Narigina, Andrejs Romānovs, Rasa Bruzgiene
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Convolutional Neural Network-Based Digital Diagnostic Tool for the Identification of Psychosomatic Illnesses
(2024)

Marta Narigina, Andrejs Romānovs, Jurijs Merkurjevs
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

2024 IEEE 65th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2024): Proceedings
(2024)

Jānis Grabis, Andrejs Romānovs, Marta Narigina
Zinātniskās monogrāfijas vai kolektīvas monogrāfijas

A Review of AI-Driven Digital Twin Frameworks for Cardiovascular Disease Diagnosis and Management
(2024)

Marta Narigina, Andrejs Romānovs, Jurijs Merkurjevs
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing
(2023)

Marta Narigina, Artūrs Ķempelis, Andrejs Romānovs
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Machine Learning-based Sensor Data Forecasting for Precision Evaluation of Environmental Sensing
(2023)

Artūrs Ķempelis, Marta Narigina, Eduards Osadcijs, Antons Patļins, Andrejs Romānovs
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Analysis of Medical Data Processing Technologies
(2022)

Marta Narigina, Eduards Osadcijs, Andrejs Romānovs
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Informācija par autoru

Publikācijas

Model Transformations Used in IT Project Initial Phases: Systematic Literature Review
(2025)

AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation
(2025)

2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2024): Proceedings
(2024)

Digital Twin Technology in Healthcare: A Literature Review
(2024)

Convolutional Neural Network-Based Digital Diagnostic Tool for the Identification of Psychosomatic Illnesses
(2024)

2024 IEEE 65th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2024): Proceedings
(2024)

A Review of AI-Driven Digital Twin Frameworks for Cardiovascular Disease Diagnosis and Management
(2024)

Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing
(2023)

Machine Learning-based Sensor Data Forecasting for Precision Evaluation of Environmental Sensing
(2023)

Analysis of Medical Data Processing Technologies
(2022)

Projekti

Lietotāju atbalsta centrs (65-06D03-N8682)
Citi

Informācija par autoru

Publikācijas

Model Transformations Used in IT Project Initial Phases: Systematic Literature Review (2025)

AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation (2025)

2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2024): Proceedings (2024)

Digital Twin Technology in Healthcare: A Literature Review (2024)

Convolutional Neural Network-Based Digital Diagnostic Tool for the Identification of Psychosomatic Illnesses (2024)

2024 IEEE 65th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2024): Proceedings (2024)

A Review of AI-Driven Digital Twin Frameworks for Cardiovascular Disease Diagnosis and Management (2024)

Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing (2023)

Machine Learning-based Sensor Data Forecasting for Precision Evaluation of Environmental Sensing (2023)

Analysis of Medical Data Processing Technologies (2022)

Projekti

Lietotāju atbalsta centrs (65-06D03-N8682) Citi

Model Transformations Used in IT Project Initial Phases: Systematic Literature Review
(2025)

AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation
(2025)

2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2024): Proceedings
(2024)

Digital Twin Technology in Healthcare: A Literature Review
(2024)

Convolutional Neural Network-Based Digital Diagnostic Tool for the Identification of Psychosomatic Illnesses
(2024)

2024 IEEE 65th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2024): Proceedings
(2024)

A Review of AI-Driven Digital Twin Frameworks for Cardiovascular Disease Diagnosis and Management
(2024)

Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing
(2023)

Machine Learning-based Sensor Data Forecasting for Precision Evaluation of Environmental Sensing
(2023)

Analysis of Medical Data Processing Technologies
(2022)

Lietotāju atbalsta centrs (65-06D03-N8682)
Citi