Wound Area Assessment using Mobile Application. - Ivan Miguel Pires; Nuno M. Garcia (BIODEVICES, 2015)

Calculation of Jump Flight Time using a Mobile Device. - Ivan Miguel Pires; Nuno M. Garcia; Maria Cristina Canavarro Teixeira (HEALTHINF, 2015)

Identification of Activities of Daily Living Using Sensors Available in off-the-shelf Mobile Devices: Research and Hypothesis. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta (ISAmI, 2016)

Validation Techniques for Sensor Data in Mobile Health Applications. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Natalia Díaz Rodríguez (J. Sensors, 2016)

From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta (Sensors, 2016)

Limitations of Energy Expenditure Calculation Based on a Mobile Phone Accelerometer. - Ivan Miguel Pires; Virginie Felizardo; Nuno Pombo; Nuno M. Garcia (HPCS, 2017)

Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante (CoRR, 2017)

A Multiple Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta (CoRR, 2017)

User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta (CoRR, 2017)

Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante (CoRR, 2017)

Framework for the Recognition of Activities of Daily Living and Their Environments in the Development of a Personal Digital Life Coach. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta (DATA, 2018)

Limitations of the Use of Mobile Devices and Smart Environments for the Monitoring of Ageing People. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta (ICT4AWE, 2018)

Measurement of the Reaction Time in the 30-S Chair Stand Test using the Accelerometer Sensor Available in off-the-Shelf Mobile Devices. - Ivan Miguel Pires; Diogo Marques 002; Nuno Pombo; Nuno M. Garcia; Mário Cardoso Marques; Francisco Flórez-Revuelta (ICT4AWE, 2018)

Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks. - Ivan Miguel Pires; Nuno Pombo; Nuno M. Garcia; Francisco Flórez-Revuelta (IJCAI, 2018)

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. - Ivan Miguel Pires; Tânia Valente; Nuno Pombo; Nuno M. Garcia (PAAMS (Workshops), 2018)

Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer. - Ivan Miguel Pires; Virginie Felizardo; Nuno Pombo; Mario Drobics; Nuno M. Garcia; Francisco Flórez-Revuelta (J. Ambient Intell. Smart Environ., 2018)

Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante; Maria Cristina Canavarro Teixeira; Eftim Zdravevski (PeerJ Prepr., 2018)

Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante; Maria Cristina Canavarro Teixeira (Pervasive Mob. Comput., 2018)

Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante (Sensors, 2018)

Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review. - Ivan Miguel Pires; Rui Santos; Nuno Pombo; Nuno M. Garcia; Francisco Flórez-Revuelta; Susanna Spinsante; Rossitza Goleva; Eftim Zdravevski (Sensors, 2018)

A review of frameworks on continuous data acquisition for e-Health and m-Health. - Salome Oniani; Ivan Miguel Pires; Nuno M. Garcia; Ia Mosashvili; Nuno Pombo (GOODTECHS, 2019)

Smartphone-based automatic measurement of the results of the Timed-Up and Go test. - Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; Nuno M. Garcia; Nuno Pombo; Susanna Spinsante; Rute Crisóstomo (GOODTECHS, 2019)

CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers. - María Vanessa Villasana; Ivan Miguel Pires; Juliana Sá; Nuno M. Garcia; Nuno Pombo; Eftim Zdravevski; Ivan Chorbev (GOODTECHS, 2019)

Is the Overfitting in a Neural Network a Reliable Model for the Recognition of Activities of Daily Living? - Lina Xu; Nuno Pombo; Ivan Miguel Pires; Nuno M. Garcia (GOODTECHS, 2019)

An Efficient Machine Learning-based Elderly Fall Detection Algorithm. - Faisal Hussain; Muhammad Basit Umair; Muhammad Ehatisham-ul-Haq; Ivan Miguel Pires; Tânia Valente; Nuno M. Garcia; Nuno Pombo (CoRR, 2019)

Version Reporting and Assessment Approaches for New and Updated Activity and Heart Rate Monitors. - Tim Collins; Sandra I. Woolley; Salome Oniani; Ivan Miguel Pires; Nuno M. Garcia; Sean J. Ledger; Anand Pandyan (Sensors, 2019)

Diseases identification with big data concept - The older people community. - André Esteves; Vasco Ponciano; Ivan Miguel Pires (IEEE BigData, 2020)

Control and Prevention of Personal Stress. - Hugo Marques; Hugo Carvalho; José Morgado; Nuno M. Garcia; Ivan Miguel Pires; Eftim Zdravevski (IEEE BigData, 2020)

E-health and M-health applications in Georgia: A review on the free available applications for Android Devices. - Salome Oniani; Gonçalo Marques; Ivan Miguel Pires; Salome Muhkashavria; Nuno M. Garcia (IEEE BigData, 2020)

Personal Digital Life Coach for Physical Therapy. - Goce Popovski; Vasco Ponciano; Gonçalo Marques; Ivan Miguel Pires; Eftim Zdravevski; Nuno M. Garcia (IEEE BigData, 2020)

Teenagers from Centre of Portugal: Nutrition and Physical Activity Data. - Nuno M. Garcia; María Vanessa Villasana; Ivan Miguel Pires; Juliana Sá; Eftim Zdravevski; Ivan Chorbev; Petre Lameski (CSAI, 2020)

Diabetes Disease through Machine Learning: A comparative study. - Gonçalo Marques; Ivan Miguel Pires; Nuno M. Garcia (CSAI, 2020)

Machine learning for the evaluation of the presence of heart disease. - Ivan Miguel Pires; Gonçalo Marques; Nuno M. Garcia; Vasco Ponciano (EUSPN/ICTH, 2020)

Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach. - Ivan Miguel Pires; Gonçalo Marques; Nuno M. Garcia; Eftim Zdravevski (FNC/MobiSPC, 2020)

CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal. - María Vanessa Villasana; Ivan Miguel Pires; Juliana Sá; Nuno M. Garcia; Eftim Zdravevski; Ivan Chorbev; Petre Lameski (HealthyIoT, 2020)

Approach for the Development of a System for COVID-19 Preliminary Test. - Ticiana Capris; Pedro Melo; Pedro Pereira; José Morgado; Nuno M. Garcia; Ivan Miguel Pires (SmartCity360°, 2020)

PriADA: Management and Adaptation of Information Based on Data Privacy in Public Environments. - Hugo Lopes; Ivan Miguel Pires; Héctor Sánchez San Blas; Raúl García Ovejero; Valderi R. Q. Leithardt (Comput., 2020)

Machine Learning Techniques with ECG and EEG Data: An Exploratory Study. - Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; Nuno M. Garcia; María Vanessa Villasana; Eftim Zdravevski; Petre Lameski (Comput., 2020)

Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test. - Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; María Vanessa Villasana; Maria Cristina Canavarro Teixeira; Eftim Zdravevski (Comput., 2020)

An Efficient Data Imputation Technique for Human Activity Recognition. - Ivan Miguel Pires; Faisal Hussain; Nuno M. Garcia; Eftim Zdravevski (CoRR, 2020)

Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification. - Ivan Miguel Pires; Faisal Hussain; Nuno M. Garcia; Petre Lameski; Eftim Zdravevski (Future Internet, 2020)

Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study. - Ivan Miguel Pires; Faisal Hussain; Nuno M. Garcia; Eftim Zdravevski (Future Internet, 2020)

Circular Economy for Clothes Using Web and Mobile Technologies - A Systematic Review and a Taxonomy Proposal. - Rui Faria; Inês Lopes; Ivan Miguel Pires; Gonçalo Marques; Solange Fernandes; Nuno M. Garcia; José Lucas; Aleksandar Jevremovic; Eftim Zdravevski; Vladimir Trajkovik (Inf., 2020)

Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. - Bruno F. Tavares; Ivan Miguel Pires; Gonçalo Marques; Nuno M. Garcia; Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik; Aleksandar Jevremovic (Inf., 2020)

Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review. - Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; Susanna Spinsante (J. Medical Syst., 2020)

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks. - Jovan Kalajdjieski; Eftim Zdravevski; Roberto Corizzo; Petre Lameski; Slobodan Kalajdziski; Ivan Miguel Pires; Nuno M. Garcia; Vladimir Trajkovik (Remote. Sens., 2020)

A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information. - 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 (Sensors, 2020)

Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults. - Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; María Vanessa Villasana; Rute Crisóstomo; Maria Cristina Canavarro Teixeira; Eftim Zdravevski (Sensors, 2020)

Management Technology for Institutional Environment in Pandemic Times. - Maria Eduarda Aragão; Maria Alice Lopes; Gustavo Neves Miranda; José Morgado; Francisco Miguel Morgado; Ivan Miguel Pires (GOODTECHS, 2021)

COVID-19 Next Day Trend Forecast. - Marcelo Costa; Margarida Rodrigues; Pedro Baptista; João Henriques; Ivan Miguel Pires; Cristina Wanzeller; Filipe Caldeira (GOODTECHS, 2021)

Biometric Data Capture as a Way to Identify Lack of Physical Activity in Daily Life. - Luís Marques; Luca Lopes; Miguel Ferreira; João Henriques; Ivan Miguel Pires; Filipe Caldeira; Cristina Wanzeller (GOODTECHS, 2021)

The New Era of Technology Applied to Cardiovascular Patients: State-of-the-Art and Questionnaire Applied for a System Proposal. - María Vanessa Villasana; Juliana Sá; Ivan Miguel Pires; Carlos Albuquerque (GOODTECHS, 2021)

Premises Based Smart Door Chains System Using IoT Cloud. - Abdul Hannan; Faisal Hussain; Sehrish Munawar Cheema; Ivan Miguel Pires (MobiQuitous, 2021)

Mobile Device Approach for the Measurement of Jump Flight Time. - Ivan Miguel Pires; Nuno M. Garcia; Maria Cristina Canavarro Teixeira (PAAMS, 2021)

A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks. - Faisal Hussain; Syed Ghazanfar Abbas; Ivan Miguel Pires; Sabeeha Tanveer; Ubaid U. Fayyaz; Nuno M. Garcia; Ghalib A. Shah; Farrukh Shahzad (IEEE Access, 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 techniques. - Ivan Miguel Pires; Faisal Hussain; Gonçalo Marques; Nuno M. Garcia (Comput. Biol. Medicine, 2021)

A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation. - Filipe Ferreira; Ivan Miguel Pires; Mónica Isabel Teixeira da Costa; Vasco Ponciano; Nuno M. Garcia; Eftim Zdravevski; Ivan Chorbev; Martin Mihajlov (Comput., 2021)

A Brief Review on the Sensor Measurement Solutions for the Ten-Meter Walk Test. - Ivan Miguel Pires; Eurico Lopes; María Vanessa Villasana; Nuno M. Garcia; Eftim Zdravevski; Vasco Ponciano (Comput., 2021)

Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks. - Ace Dimitrievski; Eftim Zdravevski; Petre Lameski; María Vanessa Villasana; Ivan Miguel Pires; Nuno M. Garcia; Francisco Flórez-Revuelta; Vladimir Trajkovik (Sensors, 2021)

Experimental Study on Wound Area Measurement with Mobile Devices. - Filipe Ferreira; Ivan Miguel Pires; Vasco Ponciano; Mónica Isabel Teixeira da Costa; María Vanessa Villasana; Nuno M. Garcia; Eftim Zdravevski; Petre Lameski; Ivan Chorbev; Martin Mihajlov; Vladimir Trajkovik (Sensors, 2021)

A Portable Smart Fitness Suite for Real-Time Exercise Monitoring and Posture Correction. - Abdul Hannan; Muhammad Zohaib Shafiq; Faisal Hussain; Ivan Miguel Pires (Sensors, 2021)

A Framework for Malicious Traffic Detection in IoT Healthcare Environment. - Faisal Hussain; Syed Ghazanfar Abbas; Ghalib A. Shah; Ivan Miguel Pires; Ubaid U. Fayyaz; Farrukh Shahzad; Nuno M. Garcia; Eftim Zdravevski (Sensors, 2021)

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. - Diogo Marques 002; Henrique Pereira Neiva; Ivan Miguel Pires; Eftim Zdravevski; Martin Mihajlov; Nuno M. Garcia; Juan Diego Ruiz-Cárdenas; Daniel Almeida Marinho; Mário Cardoso Marques (Sensors, 2021)

Mobile 5P-Medicine Approach for Cardiovascular Patients. - Ivan Miguel Pires; Hanna Vitaliyivna Denysyuk; María Vanessa Villasana; Juliana Sá; Petre Lameski; Ivan Chorbev; Eftim Zdravevski; Vladimir Trajkovik; José Morgado; Nuno M. Garcia (Sensors, 2021)

IoT Healthcare Security Dataset. - Faisal Hussain; Syed Ghazanfar Abbas; Ghalib A. Shah; Ivan Miguel Pires; Ubaid U. Fayyaz; Farrukh Shahzad; Nuno M. Garcia; Eftim Zdravevski (IEEE DataPort, 2021)

Why Web Accessibility Is Important for Your Institution. - Francisco Filipe; Ivan Miguel Pires; António Jorge Gouveia (CENTERIS/ProjMAN/HCist, 2022)

A Convolutional Neural Network-enabled IoT framework to verify COVID-19 hygiene conditions and authorize access to facilities. - Ticiana Capris; Yuka Takagi; Diana Figueiredo; João Henriques; Ivan Miguel Pires (FNC/MobiSPC/SEIT, 2022)

The evolution of IS/IT in health care in last decades. - Cristiana Fernandes; Neuza Claro; Sara Monteiro; Ivan Miguel Pires; António Jorge Gouveia (FNC/MobiSPC/SEIT, 2022)

The influence of cloud computing on the healthcare industry: a review of applications, opportunities, and challenges for the CIO. - Dilma Morais; Filipe G. Pinto; Ivan Miguel Pires; Nuno M. Garcia; António Jorge Gouveia (FNC/MobiSPC/SEIT, 2022)

Preliminary Study on Gender Identification by Electrocardiography Data. - Eduarda Sofia Bastos; Rui Pedro Duarte; Francisco Alexandre Marinho; Luís Pimenta; António Jorge Gouveia; Norberto Jorge Gonçalves; Paulo Jorge Simões Coelho; Eftim Zdravevski; Petre Lameski; Nuno M. Garcia; Ivan Miguel Pires (HealthyIoT, 2022)

Medical and Healthcare Information Systems in Portugal: Short Literature Review. - Bruna Rodrigues; Rita Matos; Silvana Guedes; Ivan Miguel Pires; António Jorge Gouveia (MobiHealth, 2022)

Identification of Abnormal Behavior in Activities of Daily Life Using Novelty Detection. - 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 (MobiQuitous, 2022)

Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities. - Boban Joksimoski; Eftim Zdravevski; Petre Lameski; Ivan Miguel Pires; Francisco José Melero; Tomás Puebla Martinez; Nuno M. Garcia; Martin Mihajlov; Ivan Chorbev; Vladimir Trajkovik (IEEE Access, 2022)

Smart Objects and Technologies for Social Good. - Ivan Miguel Pires (Future Internet, 2022)

Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification. - José Camara; Alexandre Neto; Ivan Miguel Pires; María Vanessa Villasana; Eftim Zdravevski; António Cunha (J. Imaging, 2022)

Detection and Mosaicing Techniques for Low-Quality Retinal Videos. - José Camara; Bruno Silva; António Jorge Gouveia; Ivan Miguel Pires; Paulo Jorge Simões Coelho; António Cunha (Sensors, 2022)

Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection. - 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 (Sensors, 2022)

Can the Eight Hop Test Be Measured with Sensors? A Systematic Review. - Luís Pimenta; Nuno M. Garcia; Eftim Zdravevski; Ivan Chorbev; Vladimir Trajkovik; Petre Lameski; Carlos Albuquerque; Ivan Miguel Pires (Sensors, 2022)

Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review. - Ivan Miguel Pires; Hanna Vitaliyivna Denysyuk; María Vanessa Villasana; Juliana Sá; Diogo Luís Marques; José Francisco Morgado; Carlos Albuquerque; Eftim Zdravevski (Sensors, 2022)

GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. - Sandra Treneska; Eftim Zdravevski; Ivan Miguel Pires; Petre Lameski; Sonja Gievska (Sensors, 2022)

Feasibility analysis of an electrogastrography sensor for digestion detection. - Paulo Alexandre Neves; Norberto Jorge Gonçalves; Pedro Varanda; João Simões; Filipe Pires; Nuno M. Garcia; Ricardo Costa; Eftim Zdravevski; Ivan Miguel Pires (CIoT, 2023)

An IoT-Based Framework for Sustainable Supply Chain Management System. - Muhammad Ali; Sehrish Munawar Cheema; Ivan Miguel Pires; Ammerha Naz; Zaheer Aslam; Nasir Ayub; Paulo Jorge Simões Coelho (EPIA (2), 2023)

Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. - Dragana Nikolova; Petre Lameski; Ivan Miguel Pires; Eftim Zdravevski (FedCSIS, 2023)

Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques. - Martin Kostadinov; Petre Lameski; Andrea Kulakov; Ivan Miguel Pires; Paulo Jorge Simões Coelho; Eftim Zdravevski (ICT Innovations, 2023)

Smart Wearables Data Collection and Analysis for Medical Applications: A Preliminary Approach for Functional Reach Test. - João Duarte; Luís Francisco; Ivan Miguel Pires; Paulo Jorge Simões Coelho (IWBBIO (2), 2023)

Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data. - Rui João Pinto; Pedro Miguel Silva; Rui Pedro Duarte; Francisco Alexandre Marinho; António Jorge Gouveia; Norberto Jorge Gonçalves; Paulo Jorge Simões Coelho; Eftim Zdravevski; Petre Lameski; Nuno M. Garcia; Ivan Miguel Pires (IWBBIO (1), 2023)

Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment. - Zahra Ali; Abdul Ahad; Ibraheem Shayea; Ivan Miguel Pires (WINCOM, 2023)

Ransomware Detection and Classification using Ensemble Learning: A Random Forest Tree Approach. - Shahid Anwar; Abdul Ahad; Mudassar Hussain; Ibraheem Shayea; Ivan Miguel Pires (WINCOM, 2023)

Self-reporting Tool for Cardiovascular Patients. - Hanna Vitaliyivna Denysyuk; João Amado; Norberto Jorge Gonçalves; Eftim Zdravevski; Nuno M. Garcia; Ivan Miguel Pires (WorldCIST (3), 2023)

Normalized effect size (NES): a novel feature selection model for Urdu fake news classification. - Muhammad Wasim; Sehrish Munawar Cheema; Ivan Miguel Pires (PeerJ Comput. Sci., 2023)

A natural language interface for automatic generation of data flow diagram using web extraction techniques. - Sehrish Munawar Cheema; Saman Tariq; Ivan Miguel Pires (J. King Saud Univ. Comput. Inf. Sci., 2023)

Editorial: Wearable and mobile data analysis methodologies for personalized medicine. - Ivan Miguel Pires; Ciprian Dobre; Eftim Zdravevski; Nuno M. Garcia (Frontiers Digit. Health, 2023)

A Comprehensive review on 5G-based Smart Healthcare Network Security: Taxonomy, Issues, Solutions and Future research directions. - Abdul Ahad; Zahra Ali; Abdul Mateen; Mohammad Tahir; Abdul Hannan; Nuno M. Garcia; Ivan Miguel Pires (Array, 2023)

Wearable solution for health monitoring of car drivers. - João Pedro Baiense; Paulo Jorge Coelho; Ivan Miguel Pires; Fernando José Velez (ANT/EDI40, 2024)

An Overview of Machine Learning Algorithms to Reduce Driver Fatigue and Distraction-Related traffic Accidents. - Maykol Santos; Paulo Jorge Coelho; Ivan Miguel Pires; Pedro Gonçalves; Gonçalo Paiva Dias (ANT/EDI40, 2024)

Quantum Convolutional Neural Network for Bone Fracture Classification from X-Ray Images. - Hiren K. Mewada; Ivan Miguel Pires; Mrugendrasinh Rahevar; Narendra Khatri (CENTERIS/ProjMAN/HCist, 2024)

A low-cost device-based data approach to Eight Hop Test. - Luís Pimenta; Paulo Jorge Coelho; Norberto Jorge Gonçalves; José Paulo Lousado; Carlos Albuquerque; Nuno M. Garcia; Eftim Zdravevski; Petre Lameski; Ivan Miguel Pires (CENTERIS/ProjMAN/HCist, 2024)

Evaluating the Performance of the YOLO Object Detection Framework on COCO Dataset and Real-World Scenarios. - Miral Desai; Hiren K. Mewada; Ivan Miguel Pires; Sparsh Roy (EUSPN/ICTH, 2024)

Leveraging Mobile Device-Collected Up-Down Hop Test Data for Comprehensive Functional Mobility Assessment. - Ticiana Capris; Paulo Jorge Coelho; Ivan Miguel Pires; Carlos Augusto S. Cunha (FNC/MobiSPC/SEIT, 2024)

Cloud-Based Framework for Data Exchange to Enhance Global Healthcare. - Ammerha Naz; Muhammad Ali; Sehrish Munawar Cheema; Ivan Miguel Pires (FNC/MobiSPC/SEIT, 2024)

Multi- classification of skin lesions using a deep learning-based convolutional neural network. - Khadija Shahzad; Muhammad Wasim; Ivan Miguel Pires; Nuno M. Garcia (FNC/MobiSPC/SEIT, 2024)

Integrating AI and Telemedicine in Maternal-Infant Care: An Innovative Approach for Personalized Healthcare. - Luis Augusto Silva; Beatriz María Bermejo-Gil; Fátima Pérez-Robledo; Ivan Miguel Pires; Valderi Reis Quietinho Leithardt; Anita Maria da Rocha Fernandes (FNC/MobiSPC/SEIT, 2024)

Deep Learning in Smart Healthcare: A GAN-based Approach for Imbalanced Alzheimer's Disease Classification. - Hina Tufail; Abdul Ahad; Ira Puspitasari; Ibraheem Shayea; Paulo Jorge Coelho; Ivan Miguel Pires (FNC/MobiSPC/SEIT, 2024)

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 - Venere Ferraro; Mario Covarrubias; Eftim Zdravevski; Ivan Miguel Pires; José Manuel Marques Martins de Almeida; Norberto Jorge Gonçalves (HealthyIoT / HealthWear, 2024)

Enhancing Zero Trust Security in Edge Computing Environments: Challenges and Solutions. - Fiza Ashfaq; Abdul Ahad; Mudassar Hussain; Ibraheem Shayea; Ivan Miguel Pires (WorldCIST (3), 2024)

Classification of Vascular Dementia on magnetic resonance imaging using deep learning architectures. - Hina Tufail; Abdul Ahad; Mustahsan Hammad Naqvi; Rahman Maqsood; Ivan Miguel Pires (Intell. Syst. Appl., 2024)

Methods for volume inference of non-medical objects from images: A short review. - Baticté Nabitchita; Norberto Jorge Gonçalves; Paulo Jorge Simões Coelho; Luís Pimenta; Eftim Zdravevski; Petre Lameski; Mónica Isabel Teixeira da Costa; Paulo Alexandre Neves; Ivan Miguel Pires (J. Ambient Intell. Smart Environ., 2024)

Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning. - Athar Alazzawi; Saif Aljumaili; Adil Deniz Duru; Osman Nuri Uçan; Oguz Bayat; Paulo Jorge Simões Coelho; Ivan Miguel Pires (PeerJ Comput. Sci., 2024)

Sensor-based systems for the measurement of Functional Reach Test results: a systematic review. - Luís Francisco; João Duarte; António Nunes Godinho; Eftim Zdravevski; Carlos Albuquerque; Ivan Miguel Pires; Paulo Jorge Simões Coelho (PeerJ Comput. Sci., 2024)

LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction. - Sidra Khan; Beenish Ayesha Akram; Amna Zafar; Muhammad Wasim; Khaldoon S. Khurshid; Ivan Miguel Pires (PeerJ Comput. Sci., 2024)

Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices. - Firdous Qaiser; Mudassar Hussain; Abdul Ahad; Ivan Miguel Pires (PeerJ Comput. Sci., 2024)

Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing. - Abdul Hannan; Sehrish Munawar Cheema; Ivan Miguel Pires (Biomed. Signal Process. Control., 2024)

Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test. - Luís Francisco; João Duarte; Carlos Albuquerque; Daniel Filipe Albuquerque; Ivan Miguel Pires; Paulo Jorge Simões Coelho (Sensors, 2024)

Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach. - Fiza Gulzar Hussain; Muhammad Wasim; Sehrish Munawar Cheema; Ivan Miguel Pires (Knowl. Inf. Syst., 2024)

Advancing Gait Analysis in Physiotherapy: Sensor-Based Insights from the Ten Meter Walk Test. - Maykol Santos; Paulo Jorge Coelho; Ivan Miguel Pires (SSD, 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; Paulo Jorge Simões Coelho; Ivan Miguel Pires (Comput. Biol. Medicine, 2025)

Prediction of perinatal depression among women in Pakistan using Hybrid RNN-LSTM model. - Amna Zafar; Muhammad Wasim; Beenish Ayesha Akram; Maham Riaz; Ivan Miguel Pires; Paulo Jorge Simões Coelho (PeerJ Comput. Sci., 2025)

Unraveling the inner world of PhD scholars with sentiment analysis for mental health prognosis. - Rimsha Noreen; Amna Zafar; Talha Waheed; Muhammad Wasim; Abdul Ahad; Paulo Jorge Coelho; Ivan Miguel Pires (Behav. Inf. Technol., 2025)

Driving Healthcare Monitoring with IoT and Wearable Devices: A Systematic Review. - João Pedro Baiense; Eftim Zdravevski; Paulo Jorge Coelho; Ivan Miguel Pires; Fernando J. Velez (ACM Comput. Surv., 2025)