( en | de | ru )

 

Disambiguation of "Bogdanova, Ana Madevska"

Author of the publication

copydeleteadd this publication to your clipboard
LoCLoP: Low-cost/Low-processing Power Methodology for Deriving Heart Rate and Respiratory Rate in Time-critical Domain.

, , , , , , and . EUROCON, page 1-6. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Irina Bogdanova

Ludmila Bogdanova

Zlatina Bogdanova

Elena Bogdanova

Natalia Valerjevna Bogdanova

 

Other publications of authors with the same name

A new model for collaborative learning of programming using source code similarity detection., , , and . EDUCON, page 709-715. IEEE, (2015)Real-time smart advisory health system., , , and . WIMS, page 47:1-47:4. ACM, (2018)Systematic Review of the published Explainable Educational Recommendation Systems., , and . ITHET, page 1-8. IEEE, (2022)A Deep Learning Approach to Estimate SpO2 from PPG Signals., , , , and . ICBRA, page 142-148. ACM, (2022)Implementation of the Time Series and the Convolutional Vision Transformers for Biological Signal Processing - Blood Pressure Estimation from Photoplethysmogram., , , and . ICT Innovations, volume 1991 of Communications in Computer and Information Science, page 46-58. Springer, (2023)Novel Methodology for CRC Biomarkers Detection with Leave-One-Out Bayesian Classification., and . ICT Innovations, volume 311 of Advances in Intelligent Systems and Computing, page 225-236. Springer, (2014)Intelligent modelling for predicting students' final grades., , and . MIPRO, page 1216-1221. IEEE, (2014)Intelligent student profiling for predicting e-Assessment outcomes., , , and . EDUCON, page 616-622. IEEE, (2014)Fast Cuffless Blood Pressure Classification with ECG and PPG signals using CNN-LSTM Models in Emergency Medicine., , , and . MIPRO, page 362-367. IEEE, (2022)ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning., , , , , and . HEALTHINF, page 282-292. SciTePress, (2018)