22 documents found, page 1 of 3
Non-Invasive Follicular Neoplasm with Papillary-Like Nuclear Features in Struma...
Sardinha Abrantes, Sara; Lopes, Cláudia; Santos, Vanessa; Diniz Costa, Teresa; Osório, Ana Sofia; Machado, Catarina; Tinoco, Joaquim; Gonçalves, Lucílian/a.; n/d.
Integrating experimental analysis and gradient boosting for the durability asse...
Taheri, Ali; Azimi, Nima; Oliveira, Daniel V.; Tinoco, Joaquim; Lourenço, Paulo B.This paper presents a comprehensive study of the mechanical properties of lime-based mortar in an acidic environment, employing both experimental analysis and machine learning to model techniques. Despite the extensive use of lime-based mortar in construction, particularly for the strengthening of structures as externally bonded materials, its behavior under acidic conditions remains poorly understood in the li...
Leveraging ML for predicting UCS of soil stabilised with one-part alkali-activa...
Tinoco, Joaquim; Pinheiro, João Manuel Machado; Cristelo, Nuno; Rodrigues, Mafalda; Miranda, Tiago F. S.The transition to sustainable construction materials has driven interest in alternatives to Portland cement. Soil stabilisation with alkali-activated binders is a promising approach, yet its widespread application requires reliable predictive tools for assessing unconfined compressive strength (UCS). This study explores the use of machine learning algorithms to predict UCS in soil stabilised with a one-part alk...
Scour monitoring from train-induced vibrations
Tinoco, Joaquim; Tola, Sinem; Matos, José C.[Excerpt] Bridges with piers in rivers are at risk of foundation scour. Structural parts in the river cause turbulence around these piers, which leads to soil erosion – known as local scour. The time required for the erosion depends on the soil type around the bridge foundations. For instance, shale and silt soil around a foundation can be swept away after a single storm, whereas a bedrock scour requires hundre...
Enhancing rail defect detection: Comparative analysis of two-layer and five-lay...
Mohammadkhah, Saeed; Tinoco, Joaquim; Frias, Jesus; Matos, José Campos eEffective railway infrastructure maintenance is vital for ensuring the safety and reliability of transportation systems. This paper investigates the efficacy of Convolutional Neural Networks (CNNs) in detecting railway rail defects without and with data preprocessing. Utilizing a database comprising 556 images of both defective and non-defective rails, we deployed two CNN configurations: (a) a two-layer CNN; an...
Leveraging machine learning for designing sustainable mortars with non-encapsul...
Cunha, Sandra Raquel Leite; Parente, Manuel Afonso; Tinoco, Joaquim; Aguiar, J. L. Barroso deThe development and understanding of the behavior of construction materials is extremely complex due to the great variability of raw materials that can be used, which becomes even more challenging when functional materials, such as phase-change materials (PCM), are incorporated. Currently, we are witnessing an evolution of advanced construction materials as well as an evolution of powerful tools for modeling en...
Unusual Presentation of Secondary Syphilis in the Oral Cavity
Carvalho, Liliana; Hespanha, Berta; Tinoco, JoaquimN/a.; N/a.
Visceral Leishmaniasis in an Immunocompetent Patient: A Case Report
Rodrigues Monteiro, Miguel; Serra, João Tiago; Gomes, Filipa; Tinoco, JoaquimLeishmaniasis is a parasitic disease transmitted by the bite of female sandflies that occurs in tropical and subtropical climate regions. Visceral leishmaniasis is the most serious manifestation of the disease, leading to a 95% mortality rate after two years of infection if untreated. Visceral leishmaniasis is frequently associated with immunocompromised states, with the human immunodeficiency virus being the m...
Fragility analysis of slopes exposed to seismic hazard employing surrogate mode...
Cabanzo, Carlos Andres Mendoza; Tinoco, Joaquim; Sousa, Hélder S.; Matos, José C.Natural disasters may lead to failure of critical assets part of railway systems. Slope failure often results in major economic consequences. Due to the economic importance that railways systems have, it is pertinent to ensure good performance and long-term. The objective of the present research is to propose tools that may allow obtaining the failure probability of soil slopes under a seismic event by employin...
An evolutionary neural network approach for slopes stability assessment
Tinoco, Joaquim; Correia, A. Gomes; Cortez, Paulo; Toll, DavidA current big challenge for developed or developing countries is how to keep large-scale transportation infrastructure networks operational under all conditions. Network extensions and budgetary constraints for maintenance purposes are among the main factors that make transportation network management a non-trivial task. On the other hand, the high number of parameters affecting the stability condition of engin...