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BMC Research Notes
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April 27, 2023
Advancing methods in big data capture, integration, classification and liberation
Eftim Zdravevski, Ivan Miguel Pires
Plos One
|
September 8, 2017
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
Eftim Zdravevski, Biljana Risteska Stojkoska, Marie Standl, et al.
Frontiers in Digital Health
|
October 6, 2023
Editorial: Wearable and mobile data analysis methodologies for personalized medicine
Ivan Miguel Pires, Ciprian Dobre, Eftim Zdravevski, et al.
Data in Brief
|
May 19, 2021
Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices
Ivan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Data in Brief
|
December 21, 2020
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices
Ivan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Studies in Health Technology and Informatics
|
June 6, 2018
Importance of Personalized Health-Care Models: A Case Study in Activity Recognition
Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, et al.
Scientific Data
|
March 26, 2022
Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data
Ivan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Sensors (Basel, Switzerland)
|
February 26, 2022
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning
Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, et al.
Computers in Biology and Medicine
|
February 4, 2025
Ten Meter Walk Test for motor function assessment with technological devices based on lower members' movements: A systematic review
Maykol Santos, Eftim Zdravevski, Carlos Albuquerque, et al.
Sensors (Basel, Switzerland)
|
July 18, 2020
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
Biserka Petrovska, Eftim Zdravevski, Petre Lameski, et al.
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of 5
Search research articles
Search
Showing results (1-10 of 47) with videos related to
Sort By:
Page
of 5
BMC Research Notes
|
April 27, 2023
Advancing methods in big data capture, integration, classification and liberation
Eftim Zdravevski, Ivan Miguel Pires
Plos One
|
September 8, 2017
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
Eftim Zdravevski, Biljana Risteska Stojkoska, Marie Standl, et al.
Frontiers in Digital Health
|
October 6, 2023
Editorial: Wearable and mobile data analysis methodologies for personalized medicine
Ivan Miguel Pires, Ciprian Dobre, Eftim Zdravevski, et al.
Data in Brief
|
May 19, 2021
Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices
Ivan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Data in Brief
|
December 21, 2020
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices
Ivan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Studies in Health Technology and Informatics
|
June 6, 2018
Importance of Personalized Health-Care Models: A Case Study in Activity Recognition
Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, et al.
Scientific Data
|
March 26, 2022
Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data
Ivan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Sensors (Basel, Switzerland)
|
February 26, 2022
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning
Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, et al.
Computers in Biology and Medicine
|
February 4, 2025
Ten Meter Walk Test for motor function assessment with technological devices based on lower members' movements: A systematic review
Maykol Santos, Eftim Zdravevski, Carlos Albuquerque, et al.
Sensors (Basel, Switzerland)
|
July 18, 2020
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
Biserka Petrovska, Eftim Zdravevski, Petre Lameski, et al.
Page
of 5