Ackovska, Nevena
Full Name
Ackovska, Nevena
Main Affiliation
Email
nevena.ackovska@finki.ukim.mk
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Subject
- 1 application development , children with special needs , project based learning , human - computer interaction course
- 1 autism spectrum disorder
- 1 blood pressure (BP) estimation, triage, electrocardiogram (ECG), photoplethysmogram (PPG), long short term memory (LSTM), CNN-LSTM, artificial neural network, deep learning
- 1 children
- 1 EEG, Brain-Computer Interfaces, Noise elimination
- 1 ribozymes , robotics and flexible manufacturing metaphor , systems software metaphor , central dogma revision
- 1 robot and mobile app intervention
Type
Fulltext
Results 1-11 of 11 (Search time: 0.006 seconds).
| Preview | Title | Author(s) | Issue Date | Type | |
|---|---|---|---|---|---|
| 1 | Behavior Models of Emotion-Featured Robots: A Survey | Kirandziska, Vesna ; Ackovska, Nevena | 8-Jul-2020 | Article | |
| 2 | Developing Applications for Children With Special Needs Into a Project Based Learning Approach at Human-Computer Interaction Course | Ilijoski, Bojan ; Ackovska, Nevena | 28-Mar-2022 | Proceeding article | |
| 3 | Enriching human-robot interaction with mobile app in interventions of children with autism spectrum disorder | Zorcec, T ; Ilijoski, B ; Simlesa S; Ackovska, N ; Rosandic M; Popcevic K; Robins B; Nitzan N; Cappel D; Blum R | 2021 | Article | |
| 4 | Evaluation of Python HeartPy Tooklit for Heart Rate extraction from PPG | Mitrova, Hristina; Koteska, Bojana ; Madevska Bogdanova, Ana ; Lehocki, Fedor; Ondursova, Beata; Ackovska, Nevena | 2021 | Proceeding article | |
| 5 | Extending Robot Therapy for Children with Autism Using Mobile and Web Application | Ilijoski, Bojan ; Ackovska, Nevena ; Zorcec, Tatjana ; Popeska, Zhaneta | 9-Aug-2022 | Article | |
| 6 | Fast Cuffless Blood Pressure Classification with ECG and PPG signals using CNN-LSTM Models in Emergency Medicine | Kuzmanov, Ivan; Madevska Bogdanova, Ana; Kostoska, Magdalena ; Ackovska, Nevena | 23-May-2022 | Proceeding article | |
| 7 | Noninvasive Glucose Measurement Using Machine Learning and Neural Network Methods and Correlation with Heart Rate Variability | Gushev, Marjan ; Poposka, Lidija ; Spasevski, Gjoko; Kostoska, Magdalena ; Koteska, Bojana ; Simjanoska, Monika ; Ackovska, Nevena ; Stojmenski, Aleksandar; Tasic, Jurij; Trontelj, Janez | 6-Jan-2020 | Journal Article | |
| 8 | Review of Drowsiness Detection Machine-Learning Methods Applicable for Non-Invasive Brain-Computer Interfaces | Gushev, Marjan ; Ackovska, Nevena ; Zdraveski, Vladimir ; Stankov, Emil ; Jovanov, Mile ; Dinev, Martin; Spasov, Dejan ; Gui, Xiaoyan; Zhang, Yanlong; Geng, Li; Zhou, Xiaochuan | 23-Nov-2021 | Proceeding article | |
| 9 | Review of Drowsiness Detection Machine-Learning Methods Applicable for Non-Invasive Brain-Computer Interfaces | Gushev, Marjan ; Ackovska, Nevena ; Zdraveski, Vladimir ; Stankov, Emil ; Jovanov, Mile ; Dinev, Martin; Spasov, Dejan ; Gui, Xiaoyan; Zhang, Yanlong; Geng, Li; Zhou, Xiaochuan | 2021 | Proceeding article | |
| 10 | Robotics metaphor in genetics: Ribozymes as Bionanorobots | Ackovska, Nevena ; Bozinovski, Stevo; Bozinovska, Liljana | 26-Mar-2022 | Proceeding article | |
| 11 | Trends from Minimally Invasive to Non-invasive Glucose Measurements | Gushev, Marjan ; Poposka, Lidija ; Guseva, E.; Kostoska, Magdalena ; Koteska, Bojana ; Simjanoska, Monika ; Ackovska, Nevena ; Stojmenski, A. | 28-Sep-2020 | Article |