Ivan Miguel Pires

Orcid: 0000-0002-3394-6762

According to our database1, Ivan Miguel Pires authored at least 101 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach.
Knowl. Inf. Syst., August, 2024

Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test.
Sensors, February, 2024

Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing.
Biomed. Signal Process. Control., January, 2024

Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices.
PeerJ Comput. Sci., 2024

Sensor-based systems for the measurement of Functional Reach Test results: a systematic review.
PeerJ Comput. Sci., 2024

Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning.
PeerJ Comput. Sci., 2024

Classification of Vascular Dementia on magnetic resonance imaging using deep learning architectures.
Intell. Syst. Appl., 2024

Enhancing Zero Trust Security in Edge Computing Environments: Challenges and Solutions.
Proceedings of the Good Practices and New Perspectives in Information Systems and Technologies, 2024

2023
A Comprehensive review on 5G-based Smart Healthcare Network Security: Taxonomy, Issues, Solutions and Future research directions.
Array, July, 2023

Editorial: Wearable and mobile data analysis methodologies for personalized medicine.
Frontiers Digit. Health, May, 2023

A natural language interface for automatic generation of data flow diagram using web extraction techniques.
J. King Saud Univ. Comput. Inf. Sci., February, 2023

Normalized effect size (NES): a novel feature selection model for Urdu fake news classification.
PeerJ Comput. Sci., 2023

Self-reporting Tool for Cardiovascular Patients.
Proceedings of the Information Systems and Technologies, 2023

Ransomware Detection and Classification using Ensemble Learning: A Random Forest Tree Approach.
Proceedings of the 10th International Conference on Wireless Networks and Mobile Communications, 2023

Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment.
Proceedings of the 10th International Conference on Wireless Networks and Mobile Communications, 2023

Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Smart Wearables Data Collection and Analysis for Medical Applications: A Preliminary Approach for Functional Reach Test.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques.
Proceedings of the ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, 2023

Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

An IoT-Based Framework for Sustainable Supply Chain Management System.
Proceedings of the Progress in Artificial Intelligence, 2023

Feasibility analysis of an electrogastrography sensor for digestion detection.
Proceedings of the 6th Conference on Cloud and Internet of Things, 2023

2022
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning.
Sensors, 2022

Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review.
Sensors, 2022

Can the Eight Hop Test Be Measured with Sensors? A Systematic Review.
Sensors, 2022

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

Detection and Mosaicing Techniques for Low-Quality Retinal Videos.
Sensors, 2022

Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification.
J. Imaging, 2022

Smart Objects and Technologies for Social Good.
Future Internet, 2022

Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities.
IEEE Access, 2022

Identification of Abnormal Behavior in Activities of Daily Life Using Novelty Detection.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022

Medical and Healthcare Information Systems in Portugal: Short Literature Review.
Proceedings of the Wireless Mobile Communication and Healthcare, 2022

Preliminary Study on Gender Identification by Electrocardiography Data.
Proceedings of the IoT Technologies for HealthCare - 9th EAI International Conference, 2022

The influence of cloud computing on the healthcare industry: a review of applications, opportunities, and challenges for the CIO.
Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

The evolution of IS/IT in health care in last decades.
Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

A Convolutional Neural Network-enabled IoT framework to verify COVID-19 hygiene conditions and authorize access to facilities.
Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

Why Web Accessibility Is Important for Your Institution.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

2021

Mobile 5P-Medicine Approach for Cardiovascular Patients.
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.
Sensors, 2021

A Framework for Malicious Traffic Detection in IoT Healthcare Environment.
Sensors, 2021

A Portable Smart Fitness Suite for Real-Time Exercise Monitoring and Posture Correction.
Sensors, 2021

Experimental Study on Wound Area Measurement with Mobile Devices.
Sensors, 2021

Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks.
Sensors, 2021

A Brief Review on the Sensor Measurement Solutions for the Ten-Meter Walk Test.
Comput., 2021

A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation.
Comput., 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.
Comput. Biol. Medicine, 2021

A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks.
IEEE Access, 2021

Mobile Device Approach for the Measurement of Jump Flight Time.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

Premises Based Smart Door Chains System Using IoT Cloud.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

The New Era of Technology Applied to Cardiovascular Patients: State-of-the-Art and Questionnaire Applied for a System Proposal.
Proceedings of the Smart Objects and Technologies for Social Good, 2021

Biometric Data Capture as a Way to Identify Lack of Physical Activity in Daily Life.
Proceedings of the Smart Objects and Technologies for Social Good, 2021

COVID-19 Next Day Trend Forecast.
Proceedings of the Smart Objects and Technologies for Social Good, 2021

Management Technology for Institutional Environment in Pandemic Times.
Proceedings of the Smart Objects and Technologies for Social Good, 2021

2020
Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults.
Sensors, 2020

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

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks.
Remote. Sens., 2020

Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review.
J. Medical Syst., 2020

Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal.
Inf., 2020

Circular Economy for Clothes Using Web and Mobile Technologies - A Systematic Review and a Taxonomy Proposal.
Inf., 2020

Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study.
Future Internet, 2020

Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification.
Future Internet, 2020

An Efficient Data Imputation Technique for Human Activity Recognition.
CoRR, 2020

Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test.
Comput., 2020

Machine Learning Techniques with ECG and EEG Data: An Exploratory Study.
Comput., 2020

PriADA: Management and Adaptation of Information Based on Data Privacy in Public Environments.
Comput., 2020

Approach for the Development of a System for COVID-19 Preliminary Test.
Proceedings of the Science and Technologies for Smart Cities, 2020

CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal.
Proceedings of the IoT Technologies for HealthCare - 7th EAI International Conference, 2020

Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach.
Proceedings of the 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2020) / The 15th International Conference on Future Networks and Communications (FNC-2020) / The 10th International Conference on Sustainable Energy Information Technology, 2020

Machine learning for the evaluation of the presence of heart disease.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

Diabetes Disease through Machine Learning: A comparative study.
Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020

Teenagers from Centre of Portugal: Nutrition and Physical Activity Data.
Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020

Personal Digital Life Coach for Physical Therapy.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

E-health and M-health applications in Georgia: A review on the free available applications for Android Devices.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Control and Prevention of Personal Stress.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Diseases identification with big data concept - The older people community.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Version Reporting and Assessment Approaches for New and Updated Activity and Heart Rate Monitors.
Sensors, 2019

An Efficient Machine Learning-based Elderly Fall Detection Algorithm.
CoRR, 2019

Is the Overfitting in a Neural Network a Reliable Model for the Recognition of Activities of Daily Living?
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

Smartphone-based automatic measurement of the results of the Timed-Up and Go test.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

A review of frameworks on continuous data acquisition for e-Health and m-Health.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

2018
Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review.
Sensors, 2018

Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices.
Sensors, 2018

Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices.
Pervasive Mob. Comput., 2018

Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer.
PeerJ Prepr., 2018

Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer.
J. Ambient Intell. Smart Environ., 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.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Measurement of the Reaction Time in the 30-S Chair Stand Test using the Accelerometer Sensor Available in off-the-Shelf Mobile Devices.
Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2018

Limitations of the Use of Mobile Devices and Smart Environments for the Monitoring of Ageing People.
Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2018

Framework for the Recognition of Activities of Daily Living and Their Environments in the Development of a Personal Digital Life Coach.
Proceedings of the 7th International Conference on Data Science, 2018

2017
Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living.
CoRR, 2017

User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living.
CoRR, 2017

A Multiple Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data.
CoRR, 2017

Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer.
CoRR, 2017

Limitations of Energy Expenditure Calculation Based on a Mobile Phone Accelerometer.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2016
From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices.
Sensors, 2016

Validation Techniques for Sensor Data in Mobile Health Applications.
J. Sensors, 2016

Identification of Activities of Daily Living Using Sensors Available in off-the-shelf Mobile Devices: Research and Hypothesis.
Proceedings of the Ambient Intelligence - Software and Applications, 2016

2015
Calculation of Jump Flight Time using a Mobile Device.
Proceedings of the HEALTHINF 2015, 2015

Wound Area Assessment using Mobile Application.
Proceedings of the BIODEVICES 2015, 2015


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