Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ankita Shukla"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 7, p 899 (2022)
Agent-based models return spatiotemporal information used to process time series of specific parameters for specific individuals called “agents”. For complex, advanced and detailed models, this typically comes at the expense of high computing tim
Externí odkaz:
https://doaj.org/article/a6d0b8ff53f64c178f666332c953df06
Publikováno v:
Sensors; Volume 22; Issue 11; Pages: 4107
A key aspect of ocean protection consists in estimating the abundance of marine mammal population density within their habitat, which is usually accomplished using visual inspection and cameras from line-transect ships, small boats, and aircraft. How
In this paper, an e-commerce website with Content-based Recommendations and collaborative filtering recommender systems is proposed. The Recommender system makes use of data mining and information filtering techniques to make sure that the customer h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::671ee371c286736a951c8aa51b27b4cf
Autor:
Saket Anand, Ankita Shukla, Divyam Anshumaan, Pei Gao, Suguru Onda, Connor Anderson, Gullal Sigh Cheema, Ryan Farrell
Publikováno v:
ICCV Workshops
Visual data analytics is increasingly becoming an important part of wildlife monitoring and conservation strategies. In this work, we discuss our solution to the image-based Amur tiger re-identification (Re-ID) challenge hosted by the CVWC Workshop a
Publikováno v:
PRICAI 2019: Trends in Artificial Intelligence ISBN: 9783030298937
PRICAI (3)
PRICAI (3)
Ecological imbalance owing to rapid urbanization and deforestation has adversely affected the population of several wild animals. This loss of habitat has skewed the population of several non-human primate species like chimpanzees and macaques and ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068a1f4dae7101cbe91b9b25ed17a937
https://doi.org/10.1007/978-3-030-29894-4_32
https://doi.org/10.1007/978-3-030-29894-4_32
Publikováno v:
SPAWC
Embedding techniques such as word2vec [1] have gained popularity due to their ability to represent words and their semantic variants as real valued vectors. Biological sequence analysis may also leverage unsupervised feature representations, augmente