Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ahana Roy Choudhury"'
Publikováno v:
Journal of Biomolecular Structure and Dynamics. 40:7018-7026
An array of 4H-chromene derivatives have been reported for anticancer properties but their selectivity and mode of anticancer activity are unexplored. In this context, we have investigated a biolog...
Publikováno v:
AI Communications. 33:75-92
Financial time-series forecasting, and profit maximization is a challenging task, which has attracted the interest of several researchers and is immensely important for investors. In this paper, we present a deep learning system, which uses a variety
Publikováno v:
KES
Automatic identification of (paved) roads is crucial for applications such as autonomous navigation and urban planning. We use high-resolution aerial images, airborne Lidar, and low-resolution multi-spectral images to perform pixel-wise segmentation
Autor:
Adhikesavan Harikrishnan, Chavan Sakshi, Ahana Roy Choudhury, Selvakumar Jayaraman, Vijaykumar Veena
Publikováno v:
Journal of Biomolecular Structure and Dynamics
Journal of Biomolecular Structure & Dynamics
article-version (VoR) Version of Record
Journal of Biomolecular Structure & Dynamics
article-version (VoR) Version of Record
Momordica dioica have proven medicinal potential of antidiabetic, antiviral and immune stimulating properties. Flavonoids and triterpenoids from M. dioica were more extensively investigated for antiviral, antidiabetic and immunomodulatory activities.
Publikováno v:
Machine Learning for Medical Image Reconstruction ISBN: 9783030885519
MLMIR@MICCAI
MLMIR@MICCAI
Diffusion Weighted Imaging (DWI) is one of the standard MRI images that are used for the diagnosis of brain tumors. However, the acquired DW images suffer from artifacts such as EPI (echo-planar imaging) distortion. These distortions are corrected us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33e4708e27fa7366b2e3ca64ba4635d5
https://doi.org/10.1007/978-3-030-88552-6_7
https://doi.org/10.1007/978-3-030-88552-6_7
Publikováno v:
WACV
We address the problem of reconstructing road networks as undirected graphs over large geographic regions in cold start scenarios where neither the preliminary graph nor any on-road trajectory information is available. The goal of this paper is to tr
Publikováno v:
ICTAI
Financial time series forecasting is a challenging task, which has attracted the interest of several researchers and is immensely important for investors. In this paper, we present a deep learning system, which uses a variety of data for a subset of
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030117252
BrainLes@MICCAI (2)
BrainLes@MICCAI (2)
Multi-modal MRI scans are commonly used to grade brain tumors based on size and imaging appearance. As a result, imaging plays an important role in the diagnosis and treatment administered to patients. Deep learning based approaches in general, and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0500162cf3ea857c4b336e0a19528e08
https://doi.org/10.1007/978-3-030-11726-9_14
https://doi.org/10.1007/978-3-030-11726-9_14
Publikováno v:
CCGrid
Recently, there has been a growing interest in enabling fast data analytics by leveraging system capabilities from large-scale high-performance computing (HPC) systems. OpenSHMEM is a popular run-time system on HPC systems that has been used for larg
Publikováno v:
2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).
We propose a novel heuristic algorithm that performs geographical routing based on a greedy approach. Our proposed scheme first allocates the geographic locations of the source and the destination nodes influenced by their GPS information. A virtual