Faculty of Computer Science and Engineering
OrgUnit's Publications
(Articles)
Results 1-7 of 7 (Search time: 0.004 seconds).
| Preview | Title | Author(s) | Issue Date | Type | |
|---|---|---|---|---|---|
| 1 | Rapid Aspect-Oriented Assessment of Relational Database Design Assignments | Ajanovski, Vangel V. | 21-Sep-2022 | Proceeding article | |
| 2 | Inclusive Higher Education during the Covid-19 Pandemic | Zdravkova, Katerina ; Krasniqi, Venera | Sep-2021 | Proceeding article | |
| 3 | Full-mesh VPN performance evaluation for a secure edge-cloud continuum | Kjorveziroski, Vojdan ; Bernad, Cristina ; Gilly, Katja; Filiposka, Sonja | 11-Mar-2024 | Journal Article | |
| 4 | Fog Computing for Personal Health: Case Study for Sleep Apnea Detection | Ace Dimitrievski; Snezana Savoska; Trajkovikj, Vladimir | 29-May-2020 | Proceeding article | |
| 5 | Estimation of Blood Pressure from Arterial Blood Pressure using PPG Signals | Mladenovska, Teodora; Madevska Bogdanova, Ana ; Kostoska, Magdalena ; Koteska, Bojana ; Ackovska, Nevena | Aug-2023 | Proceeding article | |
| 6 | Epidemic spreading model of COVID-19 | Basnarkov, Lasko | 24-May-2020 | Article | |
| 7 | dbLearn*: Open-Source System and a Set of Practices for Conducting Iterative Exercises and Exams in a Databases Course | Ajanovski, Vangel | 6-Oct-2021 | Proceeding article |
OrgUnit's Researchers publications
(Dept/Workgroup Publication)
Subject
- 2 Big Data, ETL, Cloud computing, Spot price prediction, ARIMA, Spark
- 1 5P-Medicine; digital health; mobile bio-sensing for medicine; patient empowerment technologies; artificial intelligence; cardiovascular diseases
- 1 activities of daily living; AdaBoost; mobile devices; artificial neural networks; deep neural networks
- 1 Connected health; Internet of Things; battery consumption optimization; privacy-preserving devices
- 1 Daily activities
- 1 daily activities recognition; ensemble learning; ensemble classifiers; environments; mobile devices; sensors; systematic review
- 1 Data streams; ETL; Business analytics; Hadoop; Spark; Churn Prediction
- 1 Diseases
- 1 Electrocardiography signals
- 1 Feature extraction, time series analysis, ambient intelligence, wearable sensors, sensor fusion, pattern recognition, data mining, data preprocessing, body sensor networks
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Fulltext
Results 1-20 of 23 (Search time: 0.04 seconds).
| Preview | Title | Author(s) | Issue Date | Type | |
|---|---|---|---|---|---|
| 1 | 2.2. 4 Applications of Deep Learning Based Semantic Segmentation of Images | Lameski, Petre ; Zdravevski, Eftim ; Kulakov, Andrea ; Chorbev, Ivan; Trajkovikj, Vladimir | 2022 | Article | |
| 2 | Activities of daily living and environment recognition using mobile devices: a comparative study | Ferreira, José M; Pires, Ivan Miguel; Marques, Gonçalo; Garcia, Nuno M; Zdravevski, Eftim ; Lameski, Petre ; Flórez-Revuelta, Francisco; Spinsante, Susanna; Xu, Lina | 18-Jan-2020 | Article | |
| 3 | The CHARME" Advanced Big Data Training School for Life Sciences": an example of good practices for training on current bioinformatics challenges | Hoang, Yen; Pfeil, Juliane; Zagoršcak, Maja; Y. A. Thieffry , Axel; Zdravevski, Eftim ; Ramšak, Živa; Lameski, Petre ; Schulze , Sabrina K.; Papakonstantinou , Eleni; Papageorgiou, Louis; Singh, Tarry; Duarte López, Ariel; Pérez-Casany , Marta | 5-Feb-2019 | Article | |
| 4 | Cost optimization for big data workloads based on dynamic scheduling and cluster-size tuning | Grzegorowski, Marek; Zdravevski, Eftim ; Janusz, Andrzej; Lameski, Petre ; Apanowicz, Cas; Ślęzak, Dominik | 15-Jul-2021 | Article | |
| 5 | Cost optimization for big data workloads based on dynamic scheduling and cluster-size tuning | Grzegorowski, Marek; Zdravevski, Eftim ; Janusz, Andrzej; Lameski, Petre ; Apanowicz, Cas; Ślęzak, Dominik | 15-Jul-2021 | Article | |
| 6 | Deep Learning Methods for Bug Bite Classification: An End-to-End System | Ilijoski, Bojan ; Trojachanec Dineva, Katarina; Tojtovska Ribarski, Biljana; Petrov, Petar; Mladenovska, Teodora; Trajanoska, Milena; Gjorshoska, Ivana; Lameski, Petre | 2023 | Article | |
| 7 | Experimental Study on Wound Area Measurement with Mobile Devices | Ferreira, Filipe; Pires, Ivan Miguel; Ponciano, Vasco; Costa, Mónica; Villasana, María Vanessa; Garcia, Nuno M; Zdravevski, Eftim ; Lameski, Petre ; Chorbev, Ivan; Mihajlov, Martin ; Trajkovikj, Vladimir | 26-Aug-2021 | Article | |
| 8 | Explorations into Deep Learning Text Architectures for Dense Image Captioning | Toshevska, Martina ; Stojanovska, Frosina ; Zdravevski, Eftim ; Lameski, Petre ; Gievska, Sonja | Sep-2020 | Article | |
| 9 | Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up | Duarte, Rui Pedro; Marinho, Francisco Alexandre; Bastos, Eduarda Sofia; Pinto, Rui João; Silva, Pedro Miguel; Fermino, Alice; Denysyuk, Hanna Vitalyvna; Gouveia, António Jorge; Gonçalves, Norberto Jorge; Coelho, Paulo Jorge; Zdravevski, Eftim ; Lameski, Petre ; Tripunoski, Toni ; Garcia, Nuno M; Pires, Ivan Miguel | Feb-2023 | Article | |
| 10 | Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices | Dimitrievski, Ace; Zdravevski, Eftim ; Lameski, Petre ; Trajkovikj, Vladmir | 2022 | Article | |
| 11 | Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce | Zdravevski, Eftim ; Lameski, Petre ; Kulakov, Andrea ; Jakimovski, Boro ; Filiposka, Sonja ; Trajanov, Dimitar | Aug-2015 | Article | |
| 12 | Fintech and Artificial Intelligence in Finance-Towards a transparent financialindustry”(FinAI) CA19130 | Petrovska, Biserka; Atanasova-Pacemska, Tatjana; Corizzo, Roberto; Mignone, Paolo; Lameski, Petre ; Zdravevski, Eftim | 14-Sep-2020 | Article | |
| 13 | From Big Data to business analytics: The case study of churn prediction | Zdravevski, Eftim ; Lameski, Petre ; Apanowicz, Cas; Ślȩzak, Dominik | 1-May-2020 | Article | |
| 14 | GAN-Based Image Colorization for Self-Supervised Visual Feature Learning | Gievska, Sonja ; Treneska, Sandra; Zdravevski, Eftim ; Pires, Ivan Miguel; Lameski, Petre | 18-Feb-2022 | Article | |
| 15 | Identification of daily activites and environments based on the adaboost method using mobile device data: A systematic review | Ferreira, José M; Pires, Ivan Miguel; Marques, Gonçalo; Zdravevski, Eftim ; Lameski, Petre ; Garcia, Nuno M; Flórez-Revuelta, Francisco; Spinsante, Susanna | 20-Jan-2020 | Article | |
| 16 | Importance of Personalized Health-Care Models: A Case Study in Activity Recognition | Zdravevski, Eftim ; Lameski, Petre ; Trajkovikj, Vladimir ; Pombo, Nuno; Garcia, Nuno | 1-Jan-2018 | Article | |
| 17 | Improving activity recognition accuracy in ambient-assisted living systems by automated feature engineering | Zdravevski, Eftim ; Lameski, Petre ; Trajkovikj, Vladimir ; Kulakov, Andrea ; Chorbev, Ivan; Goleva, Rossitza; Pombo, Nuno; Garcia, Nuno | 21-Mar-2017 | Article | |
| 18 | Mobile 5P-medicine approach for cardiovascular patients | Miguel Pires, Ivan; Vitaliyivna Denysyuk, Hanna; Vanessa Villasana, María; Sá, Juliana; Lameski, Petre ; Chorbev, Ivan; Zdravevski, Eftim ; Trajkovik, Vladimir; Francisco Morgado, José; M Garcia, Nuno | 21-Oct-2021 | Article | |
| 19 | Patient-Centered Care based on Fog Computing Paradigm-A Case of Sleep Apnea Detection | Dimitrievski, Ace; Koceski, Sasho; Koceska, Natasha; Zdravevski, Eftim ; Lameski, Petre ; Hrvoje Belani,; Trajkovikj, Vladimir | 2020 | Article | |
| 20 | Rural Healthcare IoT Architecture Based on Low-Energy LoRa | Dimitrievski, Ace; Filiposka, Sonja ; Melero, Francisco José; Zdravevski, Eftim ; Lameski, Petre ; Pires, Ivan Miguel; Garcia, Nuno M; Lousado, José Paulo; Trajkovikj, Vladimir | 2021 | Article |
Organization name
Faculty of Computer Science and Engineering
Parent OrgUnit
City
Skopje
Country
Macedonia, the Former Yugoslav Republic of