Ivan Miguel Pires
Orcid: 0000-0002-3394-6762
According to our database1,
Ivan Miguel Pires
authored at least 103 papers
between 2015 and 2024.
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Bibliography
2024
Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach.
Knowl. Inf. Syst., August, 2024
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
LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction.
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
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
, 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
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
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023
Proceedings of the Progress in Artificial Intelligence, 2023
Proceedings of the 6th Conference on Cloud and Internet of Things, 2023
2022
Sensors, 2022
Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review.
Sensors, 2022
Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection.
Sensors, 2022
Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification.
J. Imaging, 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
Proceedings of the Wireless Mobile Communication and Healthcare, 2022
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
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
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022
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
Sensors, 2021
A Portable Smart Fitness Suite for Real-Time Exercise Monitoring and Posture Correction.
Sensors, 2021
Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks.
Sensors, 2021
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
IEEE Access, 2021
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021
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
Proceedings of the Smart Objects and Technologies for Social Good, 2021
Proceedings of the Smart Objects and Technologies for Social Good, 2021
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
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
Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test.
Comput., 2020
Comput., 2020
PriADA: Management and Adaptation of Information Based on Data Privacy in Public Environments.
Comput., 2020
Proceedings of the Science and Technologies for Smart Cities, 2020
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
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
Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020
Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020
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
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
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
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
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019
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
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
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