Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Kalpdrum Passi"'
Autor:
Arunkumar Arulappan, Aniket Mahanti, Kalpdrum Passi, Thiruvenkadam Srinivasan, Ranesh Naha, Gunasekaran Raja
Publikováno v:
IEEE Access, Vol 12, Pp 34489-34504 (2024)
The transformation from physical network function to Virtual Network Function (VNF) requires a fundamental design change in how applications and services are tested and assured in a hybrid virtual network. Once the VNFs are onboarded in a cloud netwo
Externí odkaz:
https://doaj.org/article/7d9ee52f14f84b819429d7d6bfd35ffd
Autor:
Pegah Azami, Kalpdrum Passi
Publikováno v:
Algorithms, Vol 17, Iss 10, p 425 (2024)
In this paper, we propose a hybrid method for detecting fake accounts on Instagram by using the Binary Grey Wolf Optimization (BGWO) and Particle Swarm Optimization (PSO) algorithms. By combining these two algorithms, we aim to leverage their complem
Externí odkaz:
https://doaj.org/article/e96823a8815646b1a343a0f686945f14
Publikováno v:
IEEE Access, Vol 11, Pp 92660-92675 (2023)
Pastures are a vital source of dairy products and cattle nutrition, and as such, play a significant role in New Zealand’s agricultural economy. However, weeds can be a major problem for pastures, making it a challenge for dairy farmers to monitor a
Externí odkaz:
https://doaj.org/article/0bb5c92e223e4d55a7b7c621902e6d81
Autor:
Niousha Ghannad, Kalpdrum Passi
Publikováno v:
Algorithms, Vol 16, Iss 9, p 399 (2023)
Currently, video and digital images possess extensive utility, ranging from recreational and social media purposes to verification, military operations, legal proceedings, and penalization. The enhancement mechanisms of this medium have undergone sig
Externí odkaz:
https://doaj.org/article/d03fc6ac19b746568e16875e1f1d4291
Publikováno v:
Frontiers in Bioinformatics, Vol 2 (2022)
Epigenomics is the branch of biology concerned with the phenotype modifications that do not induce any change in the cell DNA sequence. Epigenetic modifications apply changes to the properties of DNA, which ultimately prevents such DNA actions from b
Externí odkaz:
https://doaj.org/article/7d04d3c1667f4262bf1a1c892d85975d
Autor:
Aryan Yousefi, Kalpdrum Passi
Publikováno v:
Algorithms, Vol 16, Iss 2, p 97 (2023)
Image captioning is the multi-modal task of automatically describing a digital image based on its contents and their semantic relationship. This research area has gained increasing popularity over the past few years; however, most of the previous stu
Externí odkaz:
https://doaj.org/article/449b3f8921844a918473bcf1e2398039
Autor:
Harshkumar Mehta, Kalpdrum Passi
Publikováno v:
Algorithms, Vol 15, Iss 8, p 291 (2022)
Explainable artificial intelligence (XAI) characteristics have flexible and multifaceted potential in hate speech detection by deep learning models. Interpreting and explaining decisions made by complex artificial intelligence (AI) models to understa
Externí odkaz:
https://doaj.org/article/85b59fa4c1fa41788e340b417a879cfe
Publikováno v:
Symmetry, Vol 14, Iss 5, p 978 (2022)
Network Function Virtualization (NFV) is an enabling technology that brings together automated network service management and corresponding virtualized network functions that use an NFV Infrastructure (NFVI) framework. The Virtual Network Function Ma
Externí odkaz:
https://doaj.org/article/3f09367bd9274ff29f540dd3ec9fc7fa
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
For decades, tuberculosis (TB), a potentially serious infectious lung disease, continues to be a leading cause of worldwide death. Proven to be conveniently efficient and cost-effective, chest X-ray (CXR) has become the preliminary medical imaging to
Externí odkaz:
https://doaj.org/article/71a3d9d7ba914c658ce9266139719324
Publikováno v:
Current Womens Health Reviews. 20
Abstract: Ovarian cancer is one of the most common cancers in women in the world. It is also the 5th top cause of cancer-related death in the world. Despite chemotherapy being the primary treatment along with surgery, patients frequently suffer from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c632a217130241f6cbf0353cd07d1a89
https://doi.org/10.2174/1573404820666230505110617
https://doi.org/10.2174/1573404820666230505110617