Ivan Miguel Pires
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View article: Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data
Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data Open
The domain of Human Activity Recognition (HAR) has undergone a remarkable evolution, driven by advancements in sensor technology, artificial intelligence (AI), and machine learning algorithms. The aim of this article consists of taking as …
View article: Lower Limb Movement during 10-Meter Walk Test: A Dataset with Inertial, Magnetic, and Temperature Sensors
Lower Limb Movement during 10-Meter Walk Test: A Dataset with Inertial, Magnetic, and Temperature Sensors Open
This paper presents a dataset from a study analyzing lower limb movement during a 10-meter walk test. The study utilized SensorTileBox sensors integrated into shin pads to capture detailed movement and environmental data from participants.…
View article: Enhancing Security in 5G Edge Networks: Predicting Real-Time Zero Trust Attacks Using Machine Learning in SDN Environments
Enhancing Security in 5G Edge Networks: Predicting Real-Time Zero Trust Attacks Using Machine Learning in SDN Environments Open
The Internet has been vulnerable to several attacks as it has expanded, including spoofing, viruses, malicious code attacks, and Distributed Denial of Service (DDoS). The three main types of attacks most frequently reported in the current …
View article: Prediction of perinatal depression among women in Pakistan using Hybrid RNN-LSTM model
Prediction of perinatal depression among women in Pakistan using Hybrid RNN-LSTM model Open
Perinatal depression (PND) refers to a complex mental health condition that can occur during pregnancy (prenatal period) or in the first year after childbirth (postnatal period). Prediction of PND holds considerable importance due to its s…
View article: Ten Meter Walk Test for motor function assessment with technological devices based on lower members’ movements: A systematic review
Ten Meter Walk Test for motor function assessment with technological devices based on lower members’ movements: A systematic review Open
The review comprehensively explains these technologies' advantages and current use in therapeutic contexts.
View article: Virtual reality as a learning tool: Evaluating the use and effectiveness of simulation laboratories in educational settings
Virtual reality as a learning tool: Evaluating the use and effectiveness of simulation laboratories in educational settings Open
Virtual Reality Laboratories (VRLs) are essential progress towards educational solutions that would allow students to learn the sometimes complex experimental processes without spending physical resources. The resources used in some experi…
View article: Towards an explainable machine learning model to reduce readmission risks for diabetes patients
Towards an explainable machine learning model to reduce readmission risks for diabetes patients Open
Objective:: Hospital readmission of Diabetes patients is a persistent burden on the healthcare industry. Artificial Intelligence (AI) based Machine Learning (ML) techniques offer the potential to predict readmission rates and related risk …
View article: LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction
LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction Open
The desert locust is one of the most destructive locusts recorded in human history, and it has caused significant food shortages, monetary losses, and environmental calamities. Prediction of locust attacks is complicated as it depends on v…
View article: A roadmap for empowering cardiovascular disease patients: a 5P-Medicine approach and technological integration
A roadmap for empowering cardiovascular disease patients: a 5P-Medicine approach and technological integration Open
This article explores the multifaceted concept of cardiovascular disease (CVD) patients’ empowerment, emphasizing a shift from compliance-oriented models to active patient participation. In recognizing that cardiovascular disease is a para…
View article: Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning
Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning Open
Schizophrenia is a severe mental disorder that impairs a person’s mental, social, and emotional faculties gradually. Detection in the early stages with an accurate diagnosis is crucial to remedying the patients. This study proposed a new m…
View article: Classification of Vascular Dementia on magnetic resonance imaging using deep learning architectures
Classification of Vascular Dementia on magnetic resonance imaging using deep learning architectures Open
Vascular Dementia is a severe disease that results from dead nerve cells’ accumulation in blood vessels. This affects the blood flow and impairs memory and decision-making abilities. Machine learning and deep learning have been used in det…
View article: Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach
Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach Open
Lexical answer type prediction is integral to biomedical question–answering systems. LAT prediction aims to predict the expected answer’s semantic type of a factoid or list-type biomedical question. It also aids in the answer processing st…
View article: Fabric surface defect classification and systematic analysis using a cuckoo search optimized deep residual network
Fabric surface defect classification and systematic analysis using a cuckoo search optimized deep residual network Open
Fabric defects can significantly impact the quality of a textile product. By analyzing the types and frequencies of defects, manufacturers can identify process inefficiencies, equipment malfunctions, or operator errors. Although deep learn…
View article: Sensor-based systems for the measurement of Functional Reach Test results: a systematic review
Sensor-based systems for the measurement of Functional Reach Test results: a systematic review Open
The measurement of Functional Reach Test (FRT) is a widely used assessment tool in various fields, including physical therapy, rehabilitation, and geriatrics. This test evaluates a person’s balance, mobility, and functional ability to reac…
View article: Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test
Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test Open
The functional reach test (FRT) is a clinical tool used to evaluate dynamic balance and fall risk in older adults and those with certain neurological diseases. It provides crucial information for developing rehabilitation programs to impro…
View article: Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices
Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices Open
Named Data Networking (NDN) has emerged as a promising network architecture for content delivery in edge infrastructures, primarily due to its name-based routing and integrated in-network caching. Despite these advantages, sub-optimal perf…
View article: Can sensors be used to measure the Arm Curl Test results? a systematic review
Can sensors be used to measure the Arm Curl Test results? a systematic review Open
There is growing interest in the automated measurement of physical fitness tests, such as the Arm Curl Test, to enable more objective and accurate assessments. This review aimed to systematically analyze the types of sensors and technologi…
View article: Wireless Power and Data Transfer via mm-Wave Simultaneously Using Beamforming Technology through 5G Small Towers
Wireless Power and Data Transfer via mm-Wave Simultaneously Using Beamforming Technology through 5G Small Towers Open
The world is heading toward significant advancements in science and technology, particularly in wireless communication technology, to improve and modify how wireless communication functions before introducing the new 5G technology. This ne…
View article: An Overview of Machine Learning Algorithms to Reduce Driver Fatigue and Distraction-Related traffic Accidents
An Overview of Machine Learning Algorithms to Reduce Driver Fatigue and Distraction-Related traffic Accidents Open
Sensor-equipped driver monitoring systems are a significant advancement in vehicle safety technology, continuously monitoring drivers' condition and behavior using various sensors. These systems identify exhaustion, inattention, or impairm…