Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Ivan Miguel Pires

Showing results (1-10 of 66) with videos related to

Pageof 7
Sort By:
BMC Research Notes|April 27, 2023
Advancing methods in big data capture, integration, classification and liberationEftim Zdravevski, Ivan Miguel Pires
Peerj. Computer Science|December 11, 2023
Normalized effect size (NES): a novel feature selection model for Urdu fake news classificationMuhammad Wasim, Sehrish Munawar Cheema, Ivan Miguel Pires
Journal of Clinical Medicine|July 9, 2022
Retinal Glaucoma Public Datasets: What Do We Have and What Is Missing?José Camara, Roberto Rezende, Ivan Miguel Pires, et al.
Peerj|September 3, 2024
A roadmap for empowering cardiovascular disease patients: a 5P-Medicine approach and technological integrationHanna V Denysyuk, Ivan Miguel Pires, Nuno M Garcia
Peerj. Computer Science|March 4, 2024
Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devicesFirdous Qaiser, Mudassar Hussain, Abdul Ahad, 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 devicesIvan 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 devicesIvan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Scientific Data|March 26, 2022
Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS dataIvan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Computers in Biology and Medicine|July 13, 2021
Comparison of machine learning techniques for the identification of human activities from inertial sensors available in a mobile device after the application of data imputation techniquesIvan Miguel Pires, Faisal Hussain, Gonçalo Marques, et al.
Sensors (Basel, Switzerland)|October 13, 2021
A Portable Smart Fitness Suite for Real-Time Exercise Monitoring and Posture CorrectionAbdul Hannan, Muhammad Zohaib Shafiq, Faisal Hussain, et al.
Pageof 7

Showing results (1-10 of 66) with videos related to

Sort By:
Pageof 7
BMC Research Notes|April 27, 2023
Advancing methods in big data capture, integration, classification and liberationEftim Zdravevski, Ivan Miguel Pires
Peerj. Computer Science|December 11, 2023
Normalized effect size (NES): a novel feature selection model for Urdu fake news classificationMuhammad Wasim, Sehrish Munawar Cheema, Ivan Miguel Pires
Journal of Clinical Medicine|July 9, 2022
Retinal Glaucoma Public Datasets: What Do We Have and What Is Missing?José Camara, Roberto Rezende, Ivan Miguel Pires, et al.
Peerj|September 3, 2024
A roadmap for empowering cardiovascular disease patients: a 5P-Medicine approach and technological integrationHanna V Denysyuk, Ivan Miguel Pires, Nuno M Garcia
Peerj. Computer Science|March 4, 2024
Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devicesFirdous Qaiser, Mudassar Hussain, Abdul Ahad, 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 devicesIvan 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 devicesIvan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Scientific Data|March 26, 2022
Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS dataIvan Miguel Pires, Nuno M Garcia, Eftim Zdravevski, et al.
Computers in Biology and Medicine|July 13, 2021
Comparison of machine learning techniques for the identification of human activities from inertial sensors available in a mobile device after the application of data imputation techniquesIvan Miguel Pires, Faisal Hussain, Gonçalo Marques, et al.
Sensors (Basel, Switzerland)|October 13, 2021
A Portable Smart Fitness Suite for Real-Time Exercise Monitoring and Posture CorrectionAbdul Hannan, Muhammad Zohaib Shafiq, Faisal Hussain, et al.
Pageof 7