Ivan Miguel Pires

Adjunct Professor

Escola Superior de Tecnologia e Gestão

Portugal

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Ivan Miguel Pires is an Adjunct Professor at Escola Superior de Tecnologia e Gestão de Águeda, Portugal. His research focuses on the intersection of artificial intelligence and healthcare, with recent articles exploring topics such as IoT applications in healthcare monitoring, machine learning in activity recognition, and mental health prognosis. Additionally, he investigates emerging trends in AI applications within education and the assessment of motor functions using advanced technological devices.

Articles (20)

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2025

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2022

Collaborators (11)

Diogo Marques

Invited Auxiliary Professor

Universidade da Beira Interior

PORTUGAL

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Filipe Madeira

Adjunct Professor

Instituto Politécnico de Santarém Escola Superior de Educação de Santarém

PORTUGAL

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Paulo Jorge Coelho

PORTUGAL

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Luís Augusto Silva

Universidad de Salamanca

SPAIN

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Andrés Caro Lindo

Universidad de Extremadura

SPAIN

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Norberto Jorge Gonçalves

Assistent Professor

Universidade de Trás-os-Montes e Alto Douro

PORTUGAL

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Fernando J. Velez

PORTUGAL

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Célia Nunes

Professora Auxiliar

Universidade da Beira Interior

PORTUGAL

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António Jorge Gonçalves de Gouveia

Assistant Professor

Universidade de Trás-os-Montes e Alto Douro

PORTUGAL

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Henrique Neiva

Assistant Professor

Universidade da Beira Interior

PORTUGAL

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Nuno Garcia

Professor Catedrático

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Ivan Miguel Pires

Research Interests

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Articles (20)

Driving Healthcare Monitoring with IoT and Wearable Devices: A Systematic Review

Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data

AIoT based soil nutrient analysis and recommendation system for crops using machine learning

PERI_DEP: A dataset of mother's mental health in Pakistan

Unraveling the inner world of PhD scholars with sentiment analysis for mental health prognosis

A systematic review of artificial intelligence applications in education: Emerging trends and challenges

Lower Limb Movement during 10-Meter Walk Test: A Dataset with Inertial, Magnetic, and Temperature Sensors

Enhancing Security in 5G Edge Networks: Predicting Real-Time Zero Trust Attacks Using Machine Learning in SDN Environments

Ten Meter Walk Test for motor function assessment with technological devices based on lower members’ movements: A systematic review

Prediction of perinatal depression among women in Pakistan using Hybrid RNN-LSTM model

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

Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A concise systematic review

Estimating the relative load from movement velocity in the seated chest press exercise in older adults

Advancing methods in big data capture, integration, classification and liberation

Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review

A natural language interface for automatic generation of data flow diagram using web extraction techniques

Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up

Load-power relationship in older adults: The influence of maximal mean and peak power values and their associations with lower and upper-limb functional capacity

Smart Objects and Technologies for Social Good

Smart Waste Management and Classification Systems Using Cutting Edge Approach

Collaborators (11)

Diogo Marques

Filipe Madeira

Paulo Jorge Coelho

Luís Augusto Silva

Andrés Caro Lindo

Norberto Jorge Gonçalves

Fernando J. Velez

Célia Nunes

António Jorge Gonçalves de Gouveia

Henrique Neiva

Nuno Garcia

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