63 documents found, page 1 of 7
A flexible, low-cost and algorithm-independent calibrator for automated blood p...
Pereira, J. M. C. D.; Ribeiro, G.; Postolache, O.Arterial hypertension is one of the most important public health problems, especially in developed countries. The quality and calibration of blood pressure (BP) equipment used for non-invasive blood pressure (NIBP) measurement are essential to obtain accurate data that support correct medical diagnostics. This paper includes the hardware and software description of a flexible, low-cost and algorithm-independent...
Securing IoT sensors using sharding-based blockchain network technology integra...
Aslam, A.; Postolache, O.; Oliveira, S.; Pereira, J. D.Sharding is an emerging blockchain technology that is used extensively in several fields such as finance, reputation systems, the IoT, and others because of its ability to secure and increase the number of transactions every second. In sharding-based technology, the blockchain is divided into several sub-chains, also known as shards, that enhance the network throughput. This paper aims to examine the impact of ...
A new intelligent approach for automatic stress level assessment based on multi...
Ribeiro, G.; Postolache, O.; Martin, F. F.Stress is a natural feeling of not being able to cope with specific demands and events, and it may even worsen a person’s health, especially in chronic disease patients. Stress questionnaires are inefficient and time-consuming. Several models for stress estimation are based on facial analysis, voice recognition, thermography, electrocardiography (ECG), and photoplethysmography (PPG), but they are not practical ...
A novel AI approach for assessing stress levels in patients with type 2 diabete...
Ribeiro, G.; Monge, J.; Postolache, O.; Pereira, J. M. D.Stress is the inherent sensation of being unable to handle demands and occurrences. If not properly managed, stress can develop into a chronic condition, leading to the onset of additional chronic health issues, such as cardiovascular illnesses and diabetes. Various stress meters have been suggested in the past, along with diverse approaches for its estimation. However, in the case of more serious health issues...
Visual navigation systems for maritime smart ships: A survey
Wang, Y.; Chen, X.; Wu, Y.; Zhao, J.; Postolache, O.; Liu, S.The rapid development of artificial intelligence has greatly ensured maritime safety and made outstanding contributions to the protection of the marine environment. However, improving maritime safety still faces many challenges. In this paper, the development background and industry needs of smart ships are first studied. Then, it analyzes the development of smart ships for navigation from various fields such a...
Improved YOLOv5 network for high-precision three-dimensional positioning and at...
Zhang, Y.; Song, Y.; Zheng, L.; Postolache, O.; Mi, C.; Shen, Y.For automated quayside container cranes, accurate measurement of the three-dimensional positioning and attitude of the container spreader is crucial for the safe and efficient transfer of containers. This paper proposes a high-precision measurement method for the spreader’s three-dimensional position and rotational angles based on a single vertically mounted fixed-focus visual camera. Firstly, an image preproce...
YOLOX-Ray: An efficient attention-based single-staged object detector tailored ...
Raimundo, A.; Pavia, J. P.; Sebastião, P.; Postolache, O.Industrial inspection is crucial for maintaining quality and safety in industrial processes. Deep learning models have recently demonstrated promising results in such tasks. This paper proposes YOLOX-Ray, an efficient new deep learning architecture tailored for industrial inspection. YOLOX-Ray is based on the You Only Look Once (YOLO) object detection algorithms and integrates the SimAM attention mechanism for ...
AI-based smart sensing and AR for gait rehabilitation assessment
Monge, J.; Raimundo, A.; Ribeiro, G.; Postolache, O.; Santos, J.Health monitoring is crucial in hospitals and rehabilitation centers. Challenges can affect the reliability and accuracy of health data. Human error, patient compliance concerns, time, money, technology, and environmental factors might cause these issues. In order to improve patient care, healthcare providers must address these challenges. We propose a non-intrusive smart sensing system that uses a SensFloor sm...
That's AWESOME: Awareness while experiencing and surfing on movies through emot...
Chambel, T.; Arriaga, P.; Fonseca, M. J.; Langlois, T.; Postolache, O.; Ribeiro, C.; Piçarra, N.; Alarcão, S. M.; Jorge, A.This paper presents the AWESOME research project: Awareness While Experiencing and Surfing On Movies through Emotions, which focused on the role of emotions in movies, aiming to enhance viewers' emotional awareness while searching, accessing and watching movies. The project addressed challenges such as capturing viewers' emotional responses, and analyzing movie content based on subtitles, audio, and video. Thro...
The association between childhood obesity and cardiovascular changes in 10 year...
Cordeiro, J.; Mosca, S.; Correia-Costa, A.; Ferreira, C.; Pimenta, J.; Correia-Costa, L.; Barros, H.; Postolache, O.The increasing prevalence of overweight and obesity is a worldwide problem, with several well-known consequences that might start to develop early in life during childhood. The present research based on data from children that have been followed since birth in a previously established cohort study (Generation XXI, Porto, Portugal), taking advantage of State-of-the-Art (SoA) data science techniques and methods, ...