246 documents found, page 1 of 25
For a deeper encounter with cultural heritage: analysis of “Leonardo: Experienc...
Kosztyła, Aleksandra; Cardoso, Pedro; Alvelos, HeitorWithin the broader research focused on conveying the meaning and beauty of cultural heritage, immersive art exhibitions stand as the tangible embodiment of experience design principles, but require academic research to elevate them beyond perceived superficiality to provide deeper, meaningful encounters. This article presents a case study of the “Leonardo: Experience a Masterpiece” exhibition at the National Ga...
Practical Guidance on the Detection of NTRK Fusions in Sarcomas: Current Status...
Fernandes, Isabel; Macedo, Daniela; Gouveia, Emanuel; Ferreira, Ana; Lima, Jorge; Lopez, Dolores; Melo-Alvim, Cecília; Carvalho, Alice; Tavares, PauloSarcomas are a rare and heterogeneous group of mesenchymal malignant tumors and account for approximately 1% of all adult cancers and around 20% of all pediatric solid tumors in Europe. Technology advances have enabled a more accurate and efficient characterization of the molecular mechanisms underlying the pathogenesis of sarcoma subtypes and revealed novel and unexpected therapeutic targets with prognostic/pr...
The magnitude of legal wildlife trade and implications for species survival
Michael Marshall, Benjamin; Alamshah, Aubrey L.; Cardoso, Pedro; Cassey, Phillip; Chekunov, Sebastian; Eskew, Evan A.; Fukushima, Caroline S.The unsustainable use of wildlife is a primary driver of global biodiversity loss. No comprehensive global dataset exists on what species are in trade, their geographic origins, and trade’s ultimate impacts, which limits our ability to sustainably manage trade. The United States is one of the world’s largest importers of wildlife, with trade data compiled in the US Law Enforcement Management Information System ...
Human-centered AI in placemaking: a review of technologies, practices, and impacts
Cardoso, Pedro; Rodrigues, JoaoArtificial intelligence (AI) for placemaking holds the potential to revolutionize how we conceptualize, design, and manage urban spaces to create more vibrant, resilient, and people-centered cities. In this context, integrating Human-Centered AI (HCAI) into public infrastructure presents an exciting opportunity to reimagine the role of urban amenities and furniture in shaping inclusive, responsive, and technolo...
Affective computing databases: in-depth analysis of systematic reviews and surveys
Migueis Vaz Martins, Pedro Jorge; Rodrigues, Joao; Cardoso, PedroThe field of affective computing (AffC) is a hot research topic, where keeping track of the latest state-of-the-art can be cumbersome. Probably, due to this, a huge increase in publications of systematic reviews or surveys (SRoS) is appearing in different journals, covering various aspects such as databases, methods, and overall perspectives. Nevertheless, this increase does not mean more and better information...
Editorial for the special issue applied and innovative computational intelligen...
Cardoso, Pedro; Rodrigues, Joao; Portalés, CristinaWe are pleased to present the third edition of the Special Issue “Applied and Innovative Computational Intelligence Systems” in Applied Sciences, a journal with an Impact Factor of 2.7 and a CiteScore of 4.5 (2022). This Special Issue offers a unique opportunity for computational intelligence (CI) researchers and practitioners to share their latest theoretical and experimental outcomes with the international co...
Multioccupancy activity recognition based on deep learning models fusing UWB lo...
Anguita-Molina, Miguel Ángel; Cardoso, Pedro; Rodrigues, Joao; Medina-Quero, Javier; Polo-Rodríguez, AuroraHuman activity recognition (HAR) focuses on developing systems and techniques to recognize and categorize human actions automatically based on sensor data. This study combines ultrawideband (UWB) technology and binary sensors to describe and recognize daily activities in real-world environments with multiple occupants, ensuring accurate user localization through noninvasive and privacy-respecting methods. A nov...
Air pollution forecasting using autoencoders: A classification-based prediction...
Rodríguez-García, María Inmaculada; Carrasco-García, María Gema; Cubillas Fernández, Paloma Rocío; Ribeiro, Conceição; Cardoso, PedroThis study aims to evaluate and compare the performance of Autoencoders (AEs) and Sparse Autoencoders (SAEs) in forecasting the next-hour concentration levels of various air pollutants—specifically NO2(t + 1), PM10(t + 1), and SO2(t + 1)—in the Bay of Algeciras, a highly complex region located in southern Spain. Hourly data related to air quality, meteorological conditions, and maritime traffic were collected f...
Affective computing emotional body gesture recognition: evolution and the cream...
Migueis Vaz Martins, Pedro Jorge; Rodrigues, Joao; Cardoso, PedroThe field of affective computing (AffC) has experienced significant growth, making it challenging to stay up to date with the latest advancements. This surge in interest has likely contributed to a significant rise in the number of systematic reviews or surveys (SRoS) being published across various journals, covering topics like databases, methods, and general perspectives. This paper provides three key contrib...
Air pollution forecasting using autoencoders: a classification-based prediction...
Rodríguez-García, María Inmaculada; Carrasco-García, María Gema; Fernández, Paloma Rocío Cubillas; Ribeiro, Conceição; Cardoso, PedroThis study aims to evaluate and compare the performance of Autoencoders (AEs) and Sparse Autoencoders (SAEs) in forecasting the next-hour concentration levels of various air pollutants—specifically NO2(t + 1), PM10(t + 1), and SO2(t + 1)—in the Bay of Algeciras, a highly complex region located in southern Spain. Hourly data related to air quality, meteorological conditions, and maritime traffic were collected f...