538 documents found, page 1 of 54
Forecasting COVID-19 in european countries using long short-term memory
Carvalho, Kathleen; Teixeira, Rita de Almeida; Reis, Luis Paulo; Teixeira, João PauloEffective time series forecasts are increasingly important in supporting judgment in various decisions. Various prediction models are available to support these projections based on how each area provides a diverse set of data with variable behavior. Artificial neural networks (ANNs) significantly contribute to medical research since using predictive ideas allows for the study of disease progression in the futu...
Optimization, Learning Algorithms and Applications: 5th International Conferenc...
Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Pacheco, Maria F.; Oneto, Luca; Lopes, Rui PedroThe volumes CCIS 2617 and 2618 contain the refereed proceedings of the V International Conference on Optimization, Learning Algorithms and Applications (OL2A 2025), a hybrid event held on April 28–30. OL2A provided a space for the research community on optimization and learning to get together and share the latest developments, trends and techniques as well as develop new paths and collaborations. OL2A had the ...
Schizophrenia diagnosis support with spectral and cepstral features of speech
Teixeira, Felipe; Mendes, João; Soares,Salviano F. P.; Abreu, J. L. Pio; Teixeira, João PauloSchizophrenia is a severe mental illness affecting over 20 million people worldwide, significantly impairing quality of life and daily functioning. Current diagnostic methods rely heavily on subjective assessments and interactions between doctors and patients, leaving room for potential misdiagnoses. Recent advancements in technology have introduced non-invasive, fast, and user-friendly approaches, such as mach...
Optimization, Learning Algorithms and Applications: 5th International Conferenc...
Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Pacheco, Maria F.; Oneto, Luca; Lopes, Rui PedroThe volumes CCIS 2617 and 2618 contain the refereed proceedings of the V International Conference on Optimization, Learning Algorithms and Applications (OL2A 2025), a hybrid event held on April 28–30. OL2A provided a space for the research community on optimization and learning to get together and share the latest developments, trends and techniques as well as develop new paths and collaborations. OL2A had the ...
An introduction to BASIC Guide
Zare Jeddi, Maryam; Jones, Kate; Leese, Elizabeth; Fustinoni, Silvia; Galea, Karen S.; Santonen, Tiina; Porras, Simo P.; Hopf, Nancy B.; Göen, ThomasHuman biomonitoring (HBM) complements air and surface measurements by integrating exposure from all routes and sources, strengthening occupational exposure assessment and control. In occupational settings, HBM can quantify exposure during routine work and nonroutine activities, evaluate controls, investigate incidents (potential overexposures), and support medical surveillance. To use HBM to its full potential,...
The artificial intelligence act: insights regarding its application and implica...
Cabrera, Beatriz M.; Luiz, Luiz E.; Teixeira, João PauloThis paper deals with Europe's Artificial Intelligence Act, the first regulation on the subject and is considered an international milestone. Therefore, the introduction provides a historical overview of legislative developments on Artificial Intelligence in Europe until the current milestone, namely the approval of the AI Act text, which is currently being amended and translated into its official publication. ...
Impact of occupational exposure to wildfire events on systemic inflammatory bio...
Esteves, Filipa; Madureira, Joana; Barros, Bela; Alves, Sara; Pires, Joana; Martins, Sandra; Oliveira, Marta; Vaz, Josiana A.; Slezakova, KlaraWhile occupational exposure as a firefighter is considered a dangerous occupation, research on the underlying mechanisms remains limited, particularly in wildland firefighters. Inflammation, a key effect of wildfire expo- sure, plays a significant role in the development of various diseases. The current study aims to investigate the impact of wildland firefighting exposure on the levels of pro-inflammatory syst...
Occupational exposure to wildland firefighting and its effects on systemic DNA ...
Esteves, Filipa; Madureira, Joana; Costa, Carla Sofia; Pires, Joana; Barros, Bela; Alves, Sara; Vaz, Josiana A.; Oliveira, Marta; Slezakova, KlaraPortugal is among the European Union countries more devastated by forest fires. Wildland fire- fighters are at the forefront of this battle, facing exposure to a wide range of harmful pollutants. Epidemiological studies have highlighted a potential link between occupational firefighting exposure and several diseases, including cancer. To date, very few studies have explored the biological mechanisms associated ...
IV International Conference on Optimization, Learning Algorithms and Applicatio...
Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Oneto, Luca; Pacheco, Maria F.; Lopes, Rui PedroWelcome to OL2A 2025 - International Conference on Optimization, Learning Algorithms and Applications. OL2A offers a forum for the research community on optimization and learning to get together and share the latest developments and techniques, as well as to develop new paths and collaborations. OL2A provides a broad scope of presentations, covering many areas of optimization and learning and state-of the-art a...
Analyses of pandemics’ quantitative data and economic indicators
Carvalho, Kathleen; Reis, Luis Paulo; Teixeira, João PauloThe proposed work is a study that attempts to evaluate the financial impacts of pandemic mitigation strategies in order to be part of a central model that forecasts different scenarios in pandemic situations considering the impact of mitigation procedures in the Economic System and Healthcare System. Economic fluctuations impose a more significant challenge on prediction models, and pandemic modeling methodolog...