34 documents found, page 1 of 4
Machine learning stroke prediction in smart healthcare: integrating Fuzzy K-Nea...
Ahad, Abdul; Puspitasari, Ira; Jiangbin Zheng; Ullah, Shamsher; Ullah, Farhan; Bakhsh, Sheikh Tahir; Pires, Ivan MiguelThis research explores the use of Fuzzy K-Nearest Neighbor (F-KNN) and Artificial Neural Networks (ANN) for predicting heart stroke incidents, focusing on the impact of feature selection methods, specifically Chi-Square and Best First Search (BFS). The study demonstrates that BFS significantly enhances the performance of both classifiers. With BFS preprocessing, the ANN model achieved an impressive accuracy of ...
Enhancing security in 5G edge networks: predicting real-time zero trust attacks...
Ashfaq, Fiza; Wasim, Muhammad; Shah, Mumtaz Ali; Ahad, Abdul; Pires, Ivan MiguelThe 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 period are viruses, DoS attacks, and DDoS attacks. Advanced DDoS and DoS attacks are too complex for traditional security solutions, such as intrusion detection systems and fi...
Lower limb movement during 10-meter walk test: a dataset with inertial, magneti...
Santos, Maykol; Lindo, Andrés Caro; Albuquerque, Carlos; Coelho, Paulo Jorge; Pires, Ivan MiguelThis 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. The sensors recorded 3D accelerometer data (in milligravities), 3D gyroscope data (degrees per second), magnetometer readings (milligauss), and temperature (°C). The dataset ...
AIoT based soil nutrient analysis and recommendation system for crops using mac...
Cheema, Sehrish Munawar; Pires, Ivan MiguelAgriculture is indispensable to the global economy, and its growth is vital to any country’s economic success. Menace changing climate, soil erosion, salinity, depletion in carrying capacity of the soil, and other environmental factors have challenged sustainable agriculture vis-a-vis the agronomic response of crops. Predicting the suitability of a crop for specific land is a challenging task as it depends on d...
A systematic review of artificial intelligence applications in education: emerg...
Matos, Tomás; Santos, Walter; Zdravevski, Eftim; Coelho, Paulo Jorge; Pires, Ivan Miguel; Madeira, FilipeThe academic world is becoming increasingly interested in the applications of Artificial Intelligence technology in education. A systematic review examines AI applications in education, focusing on their effectiveness, challenges, and implications. A comprehensive analysis of studies published between 2011 and 2024 encompassed 45 research articles from major databases, such as PubMed Central, IEEE Xplore, Elsev...
PERI_DEP: a dataset of mother's mental health in Pakistan
Zafar, Amna; Akram, Beenish Ayesha; Wasim, Muhammad; Maham; Pires, Ivan Miguel; Coelho, Paulo JorgePerinatal depression (PND) represents a multifaceted mental health issue that impacts women throughout the perinatal period. Existing datasets have a class imbalance issue, resulting in biased outcomes. In Pakistan, we developed a novel dataset called PERI_DEP. This dataset leverages the Patient Health Questionnaire (PHQ-9), Edinburgh Postnatal Depression Scale (EPDS), and socio-demographic questionnaires to ga...
Intelligent PPG-based Heart Rate Signal Analysis for Car Drivers Monitoring
Baiense, João Pedro; Eerdekens, Anniek; Schampheleer, Jorn; Deruyck, Margot; Pires, Ivan Miguel; Velez, Fernando JoséThis research aims to contribute to enhancing road safety through the development and exploration of an intelligent wristbandbased health monitoring solution for car drivers. It focuses on using various sensors, such as the photoplethysmogram (PPG) and an accelerometer, to accurately estimate the drivers’ heart rate. The primary goal was to create a robust and accurate model capable of real-time heart rate esti...
Wearable solution for health monitoring of car drivers
Baiense, João Pedro; Coelho, Paulo Jorge; Pires, Ivan Miguel; Velez, Fernando J.The need for creative solutions in real-time health monitoring has been highlighted by the rise in health-related incidents involving drivers of motor vehicles. It has led to the development of wearable technology that seamlessly integrates with the Internet of Medical Things (IoMT) to improve driver safety and healthcare responsiveness. The development of a revolutionary wearable technology system is presented...
Dataset for authentication and authorization using physical layer properties in...
Ahmed, Kazi Istiaque; Tahir, Mohammad; Lau, Sian Lun; Habaebi, Mohamed Hadi; Ahad, Abdul; Pires, Ivan MiguelThe proliferation landscape of the Internet of Things (IoT) has accentuated the critical role of Authentication and Authorization (AA) mechanisms in securing interconnected devices. There is a lack of relevant datasets that can aid in building appropriate machine learning enabled security solutions focusing on authentication and authorization using physical layer characteristics. In this context, our research p...
Classification of Vascular Dementia on magnetic resonance imaging using deep le...
Tufail, Hina; Ahad, Abdul; Naqvi, Mustahsan Hammad; Maqsood, Rahman; Pires, Ivan MiguelVascular 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 detecting this disease. Nevertheless, their accuracy has been inconsistent, explaining why their utilization in diagnosing patients has led to poor performance. We developed seve...