Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Fadi Dornaika"'
Publikováno v:
BioMedInformatics, Vol 4, Iss 1, Pp 638-660 (2024)
Background: In response to the escalating global concerns surrounding skin cancer, this study aims to address the imperative for precise and efficient diagnostic methodologies. Focusing on the intricate task of eight-class skin cancer classification,
Externí odkaz:
https://doaj.org/article/c6d981213df34ed296582fd77250de94
Publikováno v:
Information, Vol 15, Iss 10, p 591 (2024)
Recently, considerable attention has been directed toward graph-based semi-supervised learning (GSSL) as an effective approach for data labeling. Despite the progress achieved by current methodologies, several limitations persist. Firstly, many studi
Externí odkaz:
https://doaj.org/article/8162857a0e414d4ca607690d8e4d15bf
Publikováno v:
Information, Vol 15, Iss 7, p 421 (2024)
Data visualization has several advantages, such as representing vast amounts of data and visually demonstrating patterns within it. Manifold learning methods help us estimate lower-dimensional representations of data, thereby enabling more effective
Externí odkaz:
https://doaj.org/article/f83415ce27464542b3e98487f74f3f1e
Publikováno v:
Sensors, Vol 24, Iss 8, p 2433 (2024)
Through the use of Underwater Smart Sensor Networks (USSNs), Marine Observatories (MOs) provide continuous ocean monitoring. Deployed sensors may not perform as intended due to the heterogeneity of USSN devices’ hardware and software when combined
Externí odkaz:
https://doaj.org/article/a4ef96ad3a7146b49df06f7aa1c2a5fc
Autor:
Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Suman Chaudhary, Wanting Yang, Yan Qiang, Talha Anwar, Mihaela Elena Breaban, Chih-Chung Hsu, Shen-Chieh Tai, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato
Publikováno v:
Sensors, Vol 24, Iss 5, p 1557 (2024)
COVID-19 analysis from medical imaging is an important task that has been intensively studied in the last years due to the spread of the COVID-19 pandemic. In fact, medical imaging has often been used as a complementary or main tool to recognize the
Externí odkaz:
https://doaj.org/article/61747d33a1aa4021bff9fb45b8da2629
Publikováno v:
Algorithms, Vol 16, Iss 12, p 562 (2023)
Artificial intelligence (AI) has emerged as a cutting-edge tool, simultaneously accelerating, securing, and enhancing the diagnosis and treatment of patients. An exemplification of this capability is evident in the analysis of peripheral blood smears
Externí odkaz:
https://doaj.org/article/7ab8af1e32c84baaaaeb1853cdf74cd6
Publikováno v:
Algorithms, Vol 16, Iss 11, p 525 (2023)
Deep learning (DL) has made significant advances in computer vision with the advent of vision transformers (ViTs). Unlike convolutional neural networks (CNNs), ViTs use self-attention to extract both local and global features from image data, and the
Externí odkaz:
https://doaj.org/article/b467880000ca4b7e85c849b438926f6a
Autor:
Fadi Dornaika, Abdelmalik Moujahid
Publikováno v:
Algorithms, Vol 15, Iss 6, p 207 (2022)
Facial Beauty Prediction (FBP) is an important visual recognition problem to evaluate the attractiveness of faces according to human perception. Most existing FBP methods are based on supervised solutions using geometric or deep features. Semi-superv
Externí odkaz:
https://doaj.org/article/f5ea1777d3aa431d8283eb1e05464cae
Publikováno v:
Sensors, Vol 22, Iss 7, p 2660 (2022)
Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by customers with their counterparts in the shop. Due to some problems, such as a large number of clothing categories, different appearances of clothing items due to di
Externí odkaz:
https://doaj.org/article/76bf4e86ba424a089817c5020a8e81f1
Autor:
Aitor Almeida, Unai Bermejo, Aritz Bilbao, Gorka Azkune, Unai Aguilera, Mikel Emaldi, Fadi Dornaika, Ignacio Arganda-Carreras
Publikováno v:
Sensors, Vol 22, Iss 3, p 701 (2022)
Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the stratification of different pathologies, prediction of the user actions and activities, or modeling the energy usage.
Externí odkaz:
https://doaj.org/article/7ca92edc7e6349fba722eff1fffa9b31