Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Apurva A. Desai"'
Autor:
Megha N. Parikh, Apurva A. Desai
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 5, Iss , Pp 100272- (2023)
This research paper presents a comprehensive analysis, classification, and segmentation of Gujarati conjuncts, with the aim of providing a deeper understanding of the intricate conjuncts in the Gujarati script. The study investigates the coverage are
Externí odkaz:
https://doaj.org/article/79eca1051b364f75b251c4f94d5b2e48
Autor:
Hemangini S. Patel, Apurva A. Desai
Publikováno v:
International Journal of Computer Applications. 176:21-27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a958b761624cbf63c03e8c446c82cd1
https://doi.org/10.5120/ijca2020920232
https://doi.org/10.5120/ijca2020920232
Autor:
Apurva A. Desai, Deepika Shukla
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811621222
Automated recognition of Indian scripts from a document or image is a challenging problem. Gujarati is an Indian script meant for expressing the language Gujarati. Gujarati is the official language of the west Indian state of Gujarat and is spoken an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::387584ef6186dc87762d1d3fcfa8a0c9
https://doi.org/10.1007/978-981-16-2123-9_51
https://doi.org/10.1007/978-981-16-2123-9_51
Autor:
Vishal A. Naik, Apurva A. Desai
Publikováno v:
International Journal of Research in Advent Technology. 7:184-190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adf857a0c06edf495990e8a9865142fb
https://doi.org/10.32622/ijrat.762019128
https://doi.org/10.32622/ijrat.762019128
Autor:
Vishal A. Naik, Apurva A. Desai
Publikováno v:
International Journal of Computer Vision and Image Processing. 9:35-50
In this article, an online handwritten word recognition system for the Gujarati language is presented by combining strokes, characters, punctuation marks, and diacritics. The authors have used a support vector machine classification algorithm with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::135cc85f29d86ddee4a0426dd5309f05
https://doi.org/10.4018/ijcvip.2019010103
https://doi.org/10.4018/ijcvip.2019010103
Autor:
Apurva A. Desai, Michael L. Fitzgerald, Tracy Murray Stewart, Robert A. Casero, Laurence J. Marton
Publikováno v:
Cancer Chemother Pharmacol
PURPOSE: Polyamines are essential for the sustained proliferation and biomass required by tumor cells. Bis-alkylated polyamine analogues are nonfunctional competitors of natural polyamines. Of these, PG-11047, a second-generation unsaturated analogue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c75173425fef170b81e5c556b1bf092b
https://europepmc.org/articles/PMC7337042/
https://europepmc.org/articles/PMC7337042/
Autor:
Apurva A. Desai, Vishal A. Naik
Publikováno v:
International Journal of Computer Sciences and Engineering. 6:416-421
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::642d493ffab42a78dbbf0a7b68cc4812
https://doi.org/10.26438/ijcse/v6i9.416421
https://doi.org/10.26438/ijcse/v6i9.416421
Autor:
Hemangini S. Patel, Apurva A. Desai
Publikováno v:
International Journal of Computer Applications Technology and Research. 6:316-325
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c473c54a498df0c03996b6671885c277
https://doi.org/10.7753/ijcatr0607.1009
https://doi.org/10.7753/ijcatr0607.1009
Autor:
Megha Parikh, Apurva A. Desai
Publikováno v:
2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA).
The segmentation of touching symbols is one of the key factors which decrease the performance of the Optical Character Recognition (OCR) system. The existence of touching characters in the documents is a major problem of the effective character segme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a18396d1c80f1a00ddd688889c4739ad
https://doi.org/10.1109/iccubea47591.2019.9128510
https://doi.org/10.1109/iccubea47591.2019.9128510
Autor:
Vishal A. Naik, Apurva A. Desai
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811311345
In this paper, the authors present a multi-layer classification approach for online handwritten character recognition for the Gujarati characters. The Gujarati language consists of many confusing characters which lead to misclassification. Multi-laye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ce768c5bf24fe78fbdb59dff35cfec
https://doi.org/10.1007/978-981-13-1135-2_45
https://doi.org/10.1007/978-981-13-1135-2_45