Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Amol D. Potgantwar"'
Publikováno v:
International journal of health sciences. :7736-7749
This paper devises a hybrid optimization driven deep technique for automated detection of skin cancer. Here, the pre-trained deep learning model is utilized for the skin cancer detection. The pre-processing of skin images is performed that helped to
Numerous companies rely on a number of different airlines to connect them with other regions of the world as a result of the increasingly important position that the aviation industry plays in today's global transportation sector. On the other hand,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::032d914190024182ccd4ac2abceab00e
Autor:
Sivaram Ponnusamy, Jilali Antari, Pawan R. Bhaladhare, Amol D. Potgantwar, Swaminathan Kalyanaraman
As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative Adversarial Networks (GANs) emerge as a groundbreaking solution, transcendi
This book offers a comprehensive overview of Software-Defined Network (SDN) based ad-hoc network technologies and exploits recent developments in this domain, with a focus on emerging technologies in SDN based ad-hoc networks. The authors offer pract
Publikováno v:
SSRN Electronic Journal.
Outlier detection has been engaged and considered field as of late. Exception recognition is a significant information mining movement with various applications, including MasterCard misrepresentation location, disclosure of crimes in electronic trad
Publikováno v:
Positioning. :80-89
Automatic robot navigation is being utilized in many industries for the purpose of high speed work delivery. Color follower, fix path follower robots are current solution to this activities but dynamic path configuration is not possible in these robo
Autor:
Amol D. Potgantwar, Vijay M. Wadhai
Publikováno v:
Procedia Computer Science. 78:447-456
The broad usage of mobiles or tablets as handheld devices has lead to various inventive applications & services which are making their existence felt in daily life. One such application is location tracking in indoor environments. This research will
Publikováno v:
2018 International Conference On Advances in Communication and Computing Technology (ICACCT).
Essentially the most primary and crucial part of data mining is pattern mining. For acquiring important correlations among the information, method called itemset mining plays vital role Earlier, the notion of itemset mining was used to acquire the ab
Publikováno v:
2018 International Conference On Advances in Communication and Computing Technology (ICACCT).
Privacy preservation of online user behavior data is important aspect in data mining, as of late, the study of privacy preserving data mining or networking has been studied mainly due to the extensive proliferation of confidential data on the interne
Publikováno v:
2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA).
The Region-of-Interest methodologies of image processing allocate more bits to ROI's and less bits to different areas. The perceptual character of image reduces as the background image gets deformed. To address the issue, the framework produces hiera