default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIvan Miguel Pires
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j48]Abdul Hannan
, Sehrish Munawar Cheema, Ivan Miguel Pires:
Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing. Biomed. Signal Process. Control. 87(Part B): 105519 (2024)- [j47]Hina Tufail, Abdul Ahad, Mustahsan Hammad Naqvi, Rahman Maqsood, Ivan Miguel Pires:
Classification of Vascular Dementia on magnetic resonance imaging using deep learning architectures. Intell. Syst. Appl. 22: 200388 (2024) - [j46]Fiza Gulzar Hussain, Muhammad Wasim, Sehrish Munawar Cheema, Ivan Miguel Pires:
Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach. Knowl. Inf. Syst. 66(8): 5003-5019 (2024) - [j45]Luís Francisco, João Duarte, António Nunes Godinho, Eftim Zdravevski, Carlos Albuquerque, Ivan Miguel Pires, Paulo Jorge Simães Coelho:
Sensor-based systems for the measurement of Functional Reach Test results: a systematic review. PeerJ Comput. Sci. 10: e1823 (2024) - [j44]Firdous Qaiser, Mudassar Hussain, Abdul Ahad, Ivan Miguel Pires:
Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices. PeerJ Comput. Sci. 10: e1854 (2024) - [j43]Athar Alazzawi, Saif Aljumaili, Adil Deniz Duru, Osman Nuri Uçan, Oguz Bayat, Paulo Jorge Simães Coelho, Ivan Miguel Pires:
Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning. PeerJ Comput. Sci. 10: e2170 (2024) - [j42]Sidra Khan, Beenish Ayesha Akram, Amna Zafar, Muhammad Wasim, Khaldoon S. Khurshid, Ivan Miguel Pires:
LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction. PeerJ Comput. Sci. 10: e2420 (2024) - [j41]Luís Francisco, João Duarte, Carlos Albuquerque, Daniel Filipe Albuquerque, Ivan Miguel Pires, Paulo Jorge Simães Coelho:
Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test. Sensors 24(4): 1301 (2024) - [c46]Fiza Ashfaq, Abdul Ahad, Mudassar Hussain, Ibraheem Shayea, Ivan Miguel Pires:
Enhancing Zero Trust Security in Edge Computing Environments: Challenges and Solutions. WorldCIST (3) 2024: 433-444 - [e6]Paulo Jorge Simães Coelho, Ivan Miguel Pires, Nuno Vieira Lopes:
Smart Objects and Technologies for Social Good - 9th EAI International Conference, GOODTECHS 2023, Leiria, Portugal, October 18-20, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 556, Springer 2024, ISBN 978-3-031-52523-0 [contents] - [e5]Venere Ferraro, Mario Covarrubias, Eftim Zdravevski, Ivan Miguel Pires, José Manuel Marques Martins de Almeida, Norberto Jorge Gonçalves:
IoT Technologies and Wearables for HealthCare - 10th EAI International Conference, HealthyIoT 2023, and 4th EAI International Conference, HealthWear 2023, Bratislava, Slovakia, October 24-26, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 530, Springer Nature Switzerland 2024, ISBN 978-3-031-71911-0 [contents] - 2023
- [j40]Abdul Ahad, Zahra Ali, Abdul Mateen, Mohammad Tahir, Abdul Hannan, Nuno M. Garcia, Ivan Miguel Pires:
A Comprehensive review on 5G-based Smart Healthcare Network Security: Taxonomy, Issues, Solutions and Future research directions. Array 18: 100290 (2023) - [j39]Ivan Miguel Pires, Ciprian Dobre, Eftim Zdravevski, Nuno M. Garcia:
Editorial: Wearable and mobile data analysis methodologies for personalized medicine. Frontiers Digit. Health 5 (2023) - [j38]Sehrish Munawar Cheema, Saman Tariq, Ivan Miguel Pires:
A natural language interface for automatic generation of data flow diagram using web extraction techniques. J. King Saud Univ. Comput. Inf. Sci. 35(2): 626-640 (2023) - [j37]Muhammad Wasim, Sehrish Munawar Cheema, Ivan Miguel Pires:
Normalized effect size (NES): a novel feature selection model for Urdu fake news classification. PeerJ Comput. Sci. 9: e1612 (2023) - [c45]Paulo Alexandre Neves, Norberto Jorge Gonçalves, Pedro Varanda, João Simões, Filipe Pires, Nuno M. Garcia, Ricardo Costa, Eftim Zdravevski, Ivan Miguel Pires:
Feasibility analysis of an electrogastrography sensor for digestion detection. CIoT 2023: 127-130 - [c44]Muhammad Ali, Sehrish Munawar Cheema, Ivan Miguel Pires, Ammerha Naz, Zaheer Aslam, Nasir Ayub, Paulo Jorge Simães Coelho:
An IoT-Based Framework for Sustainable Supply Chain Management System. EPIA (2) 2023: 483-494 - [c43]Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski:
Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. FedCSIS 2023: 291-296 - [c42]Martin Kostadinov, Petre Lameski, Andrea Kulakov, Ivan Miguel Pires, Paulo Jorge Simães Coelho, Eftim Zdravevski:
Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques. ICT Innovations 2023: 141-155 - [c41]Rui João Pinto, Pedro Miguel Silva, Rui Pedro Duarte, Francisco Alexandre Marinho, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simães Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires:
Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data. IWBBIO (1) 2023: 292-304 - [c40]João Duarte, Luís Francisco, Ivan Miguel Pires, Paulo Jorge Simães Coelho:
Smart Wearables Data Collection and Analysis for Medical Applications: A Preliminary Approach for Functional Reach Test. IWBBIO (2) 2023: 481-491 - [c39]Zahra Ali, Abdul Ahad, Ibraheem Shayea, Ivan Miguel Pires:
Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment. WINCOM 2023: 1-6 - [c38]Shahid Anwar, Abdul Ahad, Mudassar Hussain, Ibraheem Shayea, Ivan Miguel Pires:
Ransomware Detection and Classification using Ensemble Learning: A Random Forest Tree Approach. WINCOM 2023: 1-6 - [c37]Hanna Vitaliyivna Denysyuk, João Amado, Norberto Jorge Gonçalves, Eftim Zdravevski, Nuno M. Garcia, Ivan Miguel Pires:
Self-reporting Tool for Cardiovascular Patients. WorldCIST (3) 2023: 126-133 - [e4]Ivan Miguel Pires, Eftim Zdravevski, Nuno Cruz Garcia:
Smart Objects and Technologies for Social Goods - 8th EAI International Conference, GOODTECHS 2022, Aveiro, Portugal, November 16-18, 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 476, Springer 2023, ISBN 978-3-031-28812-8 [contents] - 2022
- [j36]Boban Joksimoski, Eftim Zdravevski, Petre Lameski, Ivan Miguel Pires, Francisco José Melero, Tomás Puebla Martinez, Nuno M. Garcia, Martin Mihajlov, Ivan Chorbev, Vladimir Trajkovik:
Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities. IEEE Access 10: 40979-40998 (2022) - [j35]Ivan Miguel Pires:
Smart Objects and Technologies for Social Good. Future Internet 14(12): 370 (2022) - [j34]José Camara, Alexandre Neto, Ivan Miguel Pires, María Vanessa Villasana, Eftim Zdravevski, António Cunha:
Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification. J. Imaging 8(2): 19 (2022) - [j33]Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Diogo Luís Marques, José Francisco Morgado, Carlos Albuquerque, Eftim Zdravevski:
Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review. Sensors 22(2): 581 (2022) - [j32]Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska:
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. Sensors 22(4): 1599 (2022) - [j31]José Camara, Bruno Silva, António Jorge Gouveia, Ivan Miguel Pires, Paulo Jorge Simães Coelho, António Cunha:
Detection and Mosaicing Techniques for Low-Quality Retinal Videos. Sensors 22(5): 2059 (2022) - [j30]Luís Pimenta, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik, Petre Lameski, Carlos Albuquerque, Ivan Miguel Pires:
Can the Eight Hop Test Be Measured with Sensors? A Systematic Review. Sensors 22(9): 3582 (2022) - [j29]Paulo Alexandre Neves, João Simões, Ricardo Costa, Luís Pimenta, Norberto Jorge Gonçalves, Carlos Albuquerque, Carlos Augusto S. Cunha, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires:
Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection. Sensors 22(17): 6443 (2022) - [c36]Francisco Filipe, Ivan Miguel Pires, António Jorge Gouveia:
Why Web Accessibility Is Important for Your Institution. CENTERIS/ProjMAN/HCist 2022: 20-27 - [c35]Cristiana Fernandes, Neuza Claro, Sara Monteiro, Ivan Miguel Pires, António Jorge Gouveia:
The evolution of IS/IT in health care in last decades. FNC/MobiSPC/SEIT 2022: 707-713 - [c34]Dilma Morais, Filipe G. Pinto, Ivan Miguel Pires, Nuno M. Garcia, António Jorge Gouveia:
The influence of cloud computing on the healthcare industry: a review of applications, opportunities, and challenges for the CIO. FNC/MobiSPC/SEIT 2022: 714-720 - [c33]Ticiana Capris, Yuka Takagi, Diana Figueiredo, João Henriques, Ivan Miguel Pires:
A Convolutional Neural Network-enabled IoT framework to verify COVID-19 hygiene conditions and authorize access to facilities. FNC/MobiSPC/SEIT 2022: 727-732 - [c32]Eduarda Sofia Bastos, Rui Pedro Duarte, Francisco Alexandre Marinho, Luís Pimenta, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simães Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires:
Preliminary Study on Gender Identification by Electrocardiography Data. HealthyIoT 2022: 40-49 - [c31]Bruna Rodrigues, Rita Matos, Silvana Guedes, Ivan Miguel Pires, António Jorge Gouveia:
Medical and Healthcare Information Systems in Portugal: Short Literature Review. MobiHealth 2022: 100-108 - [c30]Maurício Pasetto de Freitas, Vinícius de Aquino Piai, Rudimar L. S. Dazzi, Raimundo Celeste Ghizoni Teive, Wemerson Delcio Parreira, Anita Fernandes, Ivan Miguel Pires, Valderi Reis Quietinho Leithardt:
Identification of Abnormal Behavior in Activities of Daily Life Using Novelty Detection. MobiQuitous 2022: 559-570 - 2021
- [j28]Faisal Hussain, Syed Ghazanfar Abbas, Ivan Miguel Pires, Sabeeha Tanveer, Ubaid U. Fayyaz, Nuno M. Garcia, Ghalib A. Shah, Farrukh Shahzad:
A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks. IEEE Access 9: 163412-163430 (2021) - [j27]Ivan Miguel Pires, Faisal Hussain, Gonçalo Marques, Nuno M. Garcia:
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 techniques. Comput. Biol. Medicine 135: 104638 (2021) - [j26]Filipe Ferreira, Ivan Miguel Pires, Mónica Costa, Vasco Ponciano, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Martin Mihajlov:
A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation. Comput. 10(4): 43 (2021) - [j25]Ivan Miguel Pires, Eurico Lopes, María Vanessa Villasana, Nuno M. Garcia, Eftim Zdravevski, Vasco Ponciano:
A Brief Review on the Sensor Measurement Solutions for the Ten-Meter Walk Test. Comput. 10(4): 49 (2021) - [j24]Diogo Marques, Henrique Pereira Neiva, Ivan Miguel Pires, Eftim Zdravevski, Martin Mihajlov, Nuno M. Garcia, Juan Diego Ruiz-Cárdenas, Daniel Almeida Marinho, Mário Cardoso Marques:
An Experimental Study on the Validity and Reliability of a Smartphone Application to Acquire Temporal Variables during the Single Sit-to-Stand Test with Older Adults. Sensors 21(6): 2050 (2021) - [j23]Faisal Hussain, Syed Ghazanfar Abbas, Ghalib A. Shah, Ivan Miguel Pires, Ubaid U. Fayyaz, Farrukh Shahzad, Nuno M. Garcia, Eftim Zdravevski:
A Framework for Malicious Traffic Detection in IoT Healthcare Environment. Sensors 21(9): 3025 (2021) - [j22]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, María Vanessa Villasana, Ivan Miguel Pires, Nuno M. Garcia, Francisco Flórez-Revuelta, Vladimir Trajkovik:
Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks. Sensors 21(9): 3030 (2021) - [j21]Filipe Ferreira, Ivan Miguel Pires, Vasco Ponciano, Mónica Costa, María Vanessa Villasana, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Ivan Chorbev, Martin Mihajlov, Vladimir Trajkovik:
Experimental Study on Wound Area Measurement with Mobile Devices. Sensors 21(17): 5762 (2021) - [j20]Abdul Hannan, Muhammad Zohaib Shafiq, Faisal Hussain, Ivan Miguel Pires:
A Portable Smart Fitness Suite for Real-Time Exercise Monitoring and Posture Correction. Sensors 21(19): 6692 (2021) - [j19]Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Petre Lameski, Ivan Chorbev, Eftim Zdravevski, Vladimir Trajkovik, José Morgado, Nuno M. Garcia:
Mobile 5P-Medicine Approach for Cardiovascular Patients. Sensors 21(21): 6986 (2021) - [c29]Luís Marques, Luca Lopes, Miguel Ferreira, João Henriques, Ivan Miguel Pires, Filipe Caldeira, Cristina Wanzeller:
Biometric Data Capture as a Way to Identify Lack of Physical Activity in Daily Life. GOODTECHS 2021: 18-26 - [c28]Marcelo Costa, Margarida Rodrigues, Pedro Baptista, João Henriques, Ivan Miguel Pires, Cristina Wanzeller, Filipe Caldeira:
COVID-19 Next Day Trend Forecast. GOODTECHS 2021: 44-50 - [c27]Maria Eduarda Aragão, Maria Alice Lopes, Gustavo Neves Miranda, José Morgado, Francisco Miguel Morgado, Ivan Miguel Pires:
Management Technology for Institutional Environment in Pandemic Times. GOODTECHS 2021: 179-193 - [c26]María Vanessa Villasana, Juliana Sá, Ivan Miguel Pires, Carlos Albuquerque:
The New Era of Technology Applied to Cardiovascular Patients: State-of-the-Art and Questionnaire Applied for a System Proposal. GOODTECHS 2021: 267-278 - [c25]Abdul Hannan, Faisal Hussain, Sehrish Munawar Cheema, Ivan Miguel Pires:
Premises Based Smart Door Chains System Using IoT Cloud. MobiQuitous 2021: 834-846 - [c24]Ivan Miguel Pires, Nuno M. Garcia, Maria Cristina Canavarro Teixeira:
Mobile Device Approach for the Measurement of Jump Flight Time. PAAMS 2021: 372-375 - [e3]Ivan Miguel Pires, Susanna Spinsante, Eftim Zdravevski, Petre Lameski:
Smart Objects and Technologies for Social Good - 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15-17, 2021, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 401, Springer 2021, ISBN 978-3-030-91420-2 [contents] - [e2]Rossitza Goleva, Nuno Ricardo da Cruz Garcia, Ivan Miguel Pires:
IoT Technologies for HealthCare - 7th EAI International Conference, HealthyIoT 2020, Viana do Castelo, Portugal, December 3, 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 360, Springer 2021, ISBN 978-3-030-69962-8 [contents] - [d1]Faisal Hussain, Syed Ghazanfar Abbas, Ghalib A. Shah, Ivan Miguel Pires, Ubaid U. Fayyaz, Farrukh Shahzad, Nuno M. Garcia, Eftim Zdravevski:
IoT Healthcare Security Dataset. IEEE DataPort, 2021
- 2020
- [j18]Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Nuno M. Garcia, María Vanessa Villasana, Eftim Zdravevski, Petre Lameski:
Machine Learning Techniques with ECG and EEG Data: An Exploratory Study. Comput. 9(3): 55 (2020) - [j17]Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Maria Cristina Canavarro Teixeira, Eftim Zdravevski:
Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test. Comput. 9(3): 67 (2020) - [j16]Hugo Lopes, Ivan Miguel Pires, Héctor Sánchez San Blas, Raúl García Ovejero, Valderi R. Q. Leithardt:
PriADA: Management and Adaptation of Information Based on Data Privacy in Public Environments. Comput. 9(4): 77 (2020) - [j15]Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski:
Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study. Future Internet 12(9): 155 (2020) - [j14]Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Petre Lameski, Eftim Zdravevski:
Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification. Future Internet 12(11): 194 (2020) - [j13]Rui Faria, Inês Lopes, Ivan Miguel Pires, Gonçalo Marques, Solange Fernandes, Nuno M. Garcia, José Lucas, Aleksandar Jevremovic, Eftim Zdravevski, Vladimir Trajkovik:
Circular Economy for Clothes Using Web and Mobile Technologies - A Systematic Review and a Taxonomy Proposal. Inf. 11(3): 161 (2020) - [j12]Bruno F. Tavares, Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Aleksandar Jevremovic:
Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Inf. 11(7): 343 (2020) - [j11]Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Susanna Spinsante:
Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review. J. Medical Syst. 44(12): 199 (2020) - [j10]Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik:
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks. Remote. Sens. 12(24): 4142 (2020) - [j9]Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Rute Crisóstomo, Maria Cristina Canavarro Teixeira, Eftim Zdravevski:
Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults. Sensors 20(12): 3481 (2020) - [j8]Arielle Verri Lucca, Luis Augusto Silva, Rodrigo Luchtenberg, Leonardo Garcez, Xuzeng Mao, Raúl García Ovejero, Ivan Miguel Pires, Jorge Luis Victória Barbosa, Valderi Reis Quietinho Leithardt:
A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information. Sensors 20(21): 6030 (2020) - [c23]André Esteves, Vasco Ponciano, Ivan Miguel Pires:
Diseases identification with big data concept - The older people community. IEEE BigData 2020: 3721-3726 - [c22]Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski:
Control and Prevention of Personal Stress. IEEE BigData 2020: 3783-3785 - [c21]Salome Oniani, Gonçalo Marques, Ivan Miguel Pires, Salome Muhkashavria, Nuno M. Garcia:
E-health and M-health applications in Georgia: A review on the free available applications for Android Devices. IEEE BigData 2020: 3793-3796 - [c20]Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, Nuno M. Garcia:
Personal Digital Life Coach for Physical Therapy. IEEE BigData 2020: 3797-3802 - [c19]Nuno M. Garcia, María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Eftim Zdravevski, Ivan Chorbev, Petre Lameski:
Teenagers from Centre of Portugal: Nutrition and Physical Activity Data. CSAI 2020: 8-14 - [c18]Gonçalo Marques, Ivan Miguel Pires, Nuno M. Garcia:
Diabetes Disease through Machine Learning: A comparative study. CSAI 2020: 74-79 - [c17]Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Vasco Ponciano:
Machine learning for the evaluation of the presence of heart disease. EUSPN/ICTH 2020: 432-437 - [c16]Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski:
Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach. FNC/MobiSPC 2020: 308-314 - [c15]María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Petre Lameski:
CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal. HealthyIoT 2020: 139-147 - [c14]Ticiana Capris, Pedro Melo, Pedro Pereira, José Morgado, Nuno M. Garcia, Ivan Miguel Pires:
Approach for the Development of a System for COVID-19 Preliminary Test. SmartCity360° 2020: 117-124 - [e1]Nuno M. Garcia, Ivan Miguel Pires, Rossitza Goleva:
IoT Technologies for HealthCare - 6th EAI International Conference, HealthyIoT 2019, Braga, Portugal, December 4-6, 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 314, Springer 2020, ISBN 978-3-030-42028-4 [contents] - [i8]Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski:
An Efficient Data Imputation Technique for Human Activity Recognition. CoRR abs/2007.04456 (2020)
2010 – 2019
- 2019
- [j7]Tim Collins, Sandra I. Woolley, Salome Oniani, Ivan Miguel Pires, Nuno M. Garcia, Sean J. Ledger, Anand Pandyan:
Version Reporting and Assessment Approaches for New and Updated Activity and Heart Rate Monitors. Sensors 19(7): 1705 (2019) - [c13]Lina Xu, Nuno Pombo, Ivan Miguel Pires, Nuno M. Garcia:
Is the Overfitting in a Neural Network a Reliable Model for the Recognition of Activities of Daily Living? GOODTECHS 2019: 223-226 - [c12]Salome Oniani, Ivan Miguel Pires, Nuno M. Garcia, Ia Mosashvili, Nuno Pombo:
A review of frameworks on continuous data acquisition for e-Health and m-Health. GOODTECHS 2019: 231-234 - [c11]Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Nuno M. Garcia, Nuno Pombo, Susanna Spinsante, Rute Crisóstomo:
Smartphone-based automatic measurement of the results of the Timed-Up and Go test. GOODTECHS 2019: 239-242 - [c10]María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Nuno Pombo, Eftim Zdravevski, Ivan Chorbev:
CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers. GOODTECHS 2019: 261-266 - [i7]Faisal Hussain, Muhammad Basit Umair, Muhammad Ehatisham-ul-Haq, Ivan Miguel Pires, Tânia Valente, Nuno M. Garcia, Nuno Pombo:
An Efficient Machine Learning-based Elderly Fall Detection Algorithm. CoRR abs/1911.11976 (2019) - [i6]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira, Eftim Zdravevski:
Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. PeerJ Prepr. 7: e27225 (2019) - 2018
- [j6]Ivan Miguel Pires, Virginie Felizardo, Nuno Pombo, Mario Drobics, Nuno M. Garcia, Francisco Flórez-Revuelta:
Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer. J. Ambient Intell. Smart Environ. 10(4): 315-326 (2018) - [j5]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira:
Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices. Pervasive Mob. Comput. 47: 78-93 (2018) - [j4]Ivan Miguel Pires, Rui Santos, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta, Susanna Spinsante, Rossitza Goleva, Eftim Zdravevski:
Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review. Sensors 18(1): 160 (2018) - [j3]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante:
Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices. Sensors 18(2): 640 (2018) - [c9]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
Framework for the Recognition of Activities of Daily Living and Their Environments in the Development of a Personal Digital Life Coach. DATA 2018: 163-170 - [c8]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
Limitations of the Use of Mobile Devices and Smart Environments for the Monitoring of Ageing People. ICT4AWE 2018: 269-275 - [c7]Ivan Miguel Pires, Diogo Marques, Nuno Pombo, Nuno M. Garcia, Mário Cardoso Marques, Francisco Flórez-Revuelta:
Measurement of the Reaction Time in the 30-S Chair Stand Test using the Accelerometer Sensor Available in off-the-Shelf Mobile Devices. ICT4AWE 2018: 293-298 - [c6]Ivan Miguel Pires, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta:
Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks. IJCAI 2018: 5850-5852 - [c5]Ivan Miguel Pires, Tânia Valente, Nuno Pombo, Nuno M. Garcia:
Conceptual Definition of a Platform for the Monitoring of the Subjects with Nephrolithiasis Based on the Energy Expenditure and the Activities of Daily Living Performed. PAAMS (Workshops) 2018: 3-11 - [i5]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira, Eftim Zdravevski:
Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. PeerJ Prepr. 6: e27225 (2018) - 2017
- [c4]Ivan Miguel Pires, Virginie Felizardo, Nuno Pombo, Nuno M. Garcia:
Limitations of Energy Expenditure Calculation Based on a Mobile Phone Accelerometer. HPCS 2017: 124-127 - [i4]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante:
Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer. CoRR abs/1711.00096 (2017) - [i3]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
A Multiple Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data. CoRR abs/1711.00104 (2017) - [i2]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living. CoRR abs/1711.00124 (2017) - [i1]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante:
Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living. CoRR abs/1711.07328 (2017) - 2016
- [j2]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Natalia Díaz Rodríguez:
Validation Techniques for Sensor Data in Mobile Health Applications. J. Sensors 2016: 2839372:1-2839372:9 (2016) - [j1]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices. Sensors 16(2): 184 (2016) - [c3]Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
Identification of Activities of Daily Living Using Sensors Available in off-the-shelf Mobile Devices: Research and Hypothesis. ISAmI 2016: 121-130 - 2015
- [c2]Ivan Miguel Pires, Nuno M. Garcia:
Wound Area Assessment using Mobile Application. BIODEVICES 2015: 271-282 - [c1]Ivan Miguel Pires, Nuno M. Garcia, Maria Cristina Canavarro Teixeira:
Calculation of Jump Flight Time using a Mobile Device. HEALTHINF 2015: 293-303
Coauthor Index
[j40] [j39] [c45] [c41] [c37] [j36] [j30] [j29] [c34] [c32] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j19] [c24] [d1] [j18] [j15] [j14] [j13] [j12] [j10] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [e1] [i8] [j7] [c13] [c12] [c11] [c10] [i7] [i6] [j6] [j5] [j4] [j3] [c9] [c8] [c7] [c6] [c5] [i5] [c4] [i4] [i3] [i2] [i1] [j2] [j1] [c3] [c2] [c1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
