Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Hatem A. Rashwan"'
Autor:
Muhammad Mursil, Hatem A. Rashwan, Pere Cavallé-Busquets, Luis A. Santos-Calderón, Michelle M. Murphy, Domenec Puig
Publikováno v:
Information, Vol 15, Iss 11, p 714 (2024)
Birthweight (BW) is a widely used indicator of neonatal health, with low birthweight (LBW) being linked to higher risks of morbidity and mortality. Timely and precise prediction of LBW is crucial for ensuring newborn health and well-being. Despite re
Externí odkaz:
https://doaj.org/article/583cb25df8224dd0b8f92322918bf052
Publikováno v:
IEEE Access, Vol 11, Pp 22430-22440 (2023)
To solve real-life problems for different smart city applications, using deep Neural Network, such as parking occupancy detection, requires fine-tuning of these networks. For large parking, it is desirable to use a cenital-plane camera located at a h
Externí odkaz:
https://doaj.org/article/9e1cee4afa5c415999b0267576243021
Publikováno v:
Sensors, Vol 23, Iss 6, p 2919 (2023)
Recently, significant progress has been achieved in developing deep learning-based approaches for estimating depth maps from monocular images. However, many existing methods rely on content and structure information extracted from RGB photographs, wh
Externí odkaz:
https://doaj.org/article/b30a2329672d4c058cdf84dad908f0e6
Autor:
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefania Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
Publikováno v:
IEEE Access, Vol 7, Pp 39069-39082 (2019)
Wearable sensors (e.g., lifelogging cameras) represent very useful tools to monitor people's daily habits and lifestyle. Wearable cameras are able to continuously capture different moments of the day of their wearers, their environment, and interacti
Externí odkaz:
https://doaj.org/article/9123dc28b54940d4a3d62cbde83622b3
Autor:
Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romani, Domenec Puig
Publikováno v:
IEEE Access, Vol 7, Pp 130552-130565 (2019)
Skin lesion segmentation in dermoscopic images is still a challenge due to the low contrast and fuzzy boundaries of lesions. Moreover, lesions have high similarity with the healthy regions in terms of appearance. In this paper, we propose an accurate
Externí odkaz:
https://doaj.org/article/a437eed0236b400f940e8694a32bb5da
Publikováno v:
Sensors, Vol 22, Iss 14, p 5353 (2022)
In current decades, significant advancements in robotics engineering and autonomous vehicles have improved the requirement for precise depth measurements. Depth estimation (DE) is a traditional task in computer vision that can be appropriately predic
Externí odkaz:
https://doaj.org/article/7757e060d63443aeae961de5e2905d0d
Publikováno v:
IET Computer Vision, Vol 12, Iss 2, Pp 138-145 (2018)
Insect detection is one of the most challenging problems of biometric image processing. This study focuses on developing a method to detect both individual insects and touching insects from trap images in extreme conditions. This method is able to co
Externí odkaz:
https://doaj.org/article/c5ab612e866849129ea4febe78b12f3b
Autor:
Marc Baget-Bernaldiz, Romero-Aroca Pedro, Esther Santos-Blanco, Raul Navarro-Gil, Aida Valls, Antonio Moreno, Hatem A. Rashwan, Domenec Puig
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1385 (2021)
Background: The aim of the present study was to test our deep learning algorithm (DLA) by reading the retinographies. Methods: We tested our DLA built on convolutional neural networks in 14,186 retinographies from our population and 1200 images extra
Externí odkaz:
https://doaj.org/article/4e1cd713bdf34b6aaaaa576caceed332
Autor:
Nasibeh Saffari, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Meritxell Arenas, Eleni Mangina, Blas Herrera, Domenec Puig
Publikováno v:
Diagnostics, Vol 10, Iss 11, p 988 (2020)
Breast density estimation with visual evaluation is still challenging due to low contrast and significant fluctuations in the mammograms’ fatty tissue background. The primary key to breast density classification is to detect the dense tissues in th
Externí odkaz:
https://doaj.org/article/a094ee911d344421a7c57c25d49e4ebc
Effective ML-based quality of life prediction approach for dependent people in guardianship entities
Autor:
Gaurav Kumar Yadav, Benigno Moreno Vidales, Hatem A Rashwan, Joan Oliver, Domenec Puig, G.C. Nandi, Mohamed Abdel-Nasser
Publikováno v:
Alexandria Engineering Journal. 65:909-919
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b4f2987fc89ca181fe7c1f26dbd888
https://doi.org/10.1016/j.aej.2022.10.028
https://doi.org/10.1016/j.aej.2022.10.028