Zobrazeno 1 - 10
of 535
pro vyhledávání: '"Machine and deep learning"'
Autor:
Barua, Hrishav Bakul, Kalin, Stefanov, Che, Lemuel Lai En, Abhinav, Dhall, KokSheik, Wong, Ganesh, Krishnasamy
Low Dynamic Range (LDR) to High Dynamic Range (HDR) image translation is an important computer vision problem. There is a significant amount of research utilizing both conventional non-learning methods and modern data-driven approaches, focusing on u
Externí odkaz:
http://arxiv.org/abs/2410.15068
Autor:
Dass, Sharana Dharshikgan Suresh, Barua, Hrishav Bakul, Krishnasamy, Ganesh, Paramesran, Raveendran, Phan, Raphael C. -W.
Human action or activity recognition in videos is a fundamental task in computer vision with applications in surveillance and monitoring, self-driving cars, sports analytics, human-robot interaction and many more. Traditional supervised methods requi
Externí odkaz:
http://arxiv.org/abs/2404.06243
High Dynamic Range (HDR) content (i.e., images and videos) has a broad range of applications. However, capturing HDR content from real-world scenes is expensive and time-consuming. Therefore, the challenging task of reconstructing visually accurate H
Externí odkaz:
http://arxiv.org/abs/2403.17837
High Dynamic Range (HDR) imaging aims to replicate the high visual quality and clarity of real-world scenes. Due to the high costs associated with HDR imaging, the literature offers various data-driven methods for HDR image reconstruction from Low Dy
Externí odkaz:
http://arxiv.org/abs/2402.06692
Autor:
Lachaab, Mohamed, Omri, Abdelwahed
Publikováno v:
EuroMed Journal of Business, 2023, Vol. 19, Issue 4, pp. 781-797.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EMJB-05-2022-0104
Autor:
Maryam Gillani, Gianluca Pollastri
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1796-1807 (2024)
Protein subcellular localization prediction is of great significance in bioinformatics and biological research. Most of the proteins do not have experimentally determined localization information, computational prediction methods and tools have been
Externí odkaz:
https://doaj.org/article/5f4da4074e544f2c98a13bccd0b09829
Autor:
Rachida Hachache, Ali Yahyaouy, Jamal Riffi, Hamid Tairi, Soukayna Abibou, Mohammed El Adoui, Mohammed Benjelloun
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Purpose Despite suffering from the same disease, each patient exhibits a distinct microbiological profile and variable reactivity to prescribed treatments. Most doctors typically use a standardized treatment approach for all patients sufferi
Externí odkaz:
https://doaj.org/article/763fad7abe024da885b7cd200ae74c53
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 3, Iss 4 (2024)
The review delves into creating an understandable framework for machine learning in robotics. It stresses the significance of machine learning in materials science and robotics highlighting how it can transform industries by boosting efficiency and d
Externí odkaz:
https://doaj.org/article/488b4c8b29654ebbba180ae598f70194
Publikováno v:
Artificial Intelligence in Geosciences, Vol 5, Iss , Pp 100084- (2024)
Water prediction plays a crucial role in modern-day water resource management, encompassing both hydrological patterns and demand forecasts. To gain insights into its current focus, status, and emerging themes, this study analyzed 876 articles publis
Externí odkaz:
https://doaj.org/article/5571bd2906bb43d19c69a54a8156828f
Vaccinations against viruses have always been the need of the hour since long past. However, it is hard to efficiently distribute the vaccines (on time) to all the corners of a country, especially during a pandemic. Considering the vastness of the po
Externí odkaz:
http://arxiv.org/abs/2208.01112