Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nisha Dayana"'
Autor:
Prachi Agrawal, Rangel Arthur, E. Aslanzadeh, A. Baghernejad, Emilio Bertolotti, Alberto Borghetti, João P.S. Catalão, Nisha Dayana, A. Lenin Fred, Reinaldo Padilha França, Amir H. Gandomi, Talari Ganesh, Shafieh Ghafori, Farhad Soleimanian Gharehchopogh, Amineh Ghazi, Balázs Gulyás, Ajay Kumar H, Ali Habibollahzade, Said Ali Hassan, Alireza Heidari, Yuzo Iano, Mohammad Sadegh Javadi, Esmaeil Keshavarz, S.N. Kumar, Farhad Hosseinzadeh Lotfi, Emmanuel Kwasi Mensah, L.R. Jonisha Miriam, Ali Wagdy Mohamed, Ana Carolina Borges Monteiro, A.F. Nematollahi, Ali Esmaeel Nezhad, Parasuraman Padmanabhan, Iman Rahimi, A. Rahiminejad, Abolfazl Ranjbar, Morteza Taherkhani, Babak Talatahari, Siamak Talatahari, Mehdi Toloo, Mohammad Tolouei, B. Vahidi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99b365009ee8d58bdc962857dd490e0
https://doi.org/10.1016/b978-0-12-823799-1.00060-7
https://doi.org/10.1016/b978-0-12-823799-1.00060-7
Autor:
A. Lenin Fred, T R. Nisha Dayana
Publikováno v:
International Journal of Computer Sciences and Engineering. 7:327-332
Autor:
Parasuraman Padmanabhan, A. Lenin Fred, Balázs Gulyás, Nisha Dayana, H. Ajay Kumar, S. N. Kumar
Computer-aided algorithms are used in the medical field for the diagnosis of anomalies. Magnetic resonance imaging (MRI) does not involve a radiation effect, unlike computed tomography, and gives detailed information about soft tissues. This work pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9d1c61ce78a5b9180ec0cfe89fa23e4
https://doi.org/10.1016/b978-0-12-822271-3.00012-8
https://doi.org/10.1016/b978-0-12-822271-3.00012-8
Autor:
Balázs Gulyás, H. Ajay Kumar, Nisha Dayana, A. Lenin Fred, Parasuraman Padmanabhan, S. N. Kumar
Image segmentation and classification plays vital role in disease diagnosis and treatment planning. Traditionally, statistical methods like logistic regression or discriminant analysis have been used for performing classification tasks in data analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::234350bc8f8d1acfe87ae493070dd138
https://doi.org/10.1016/b978-0-12-822271-3.00011-6
https://doi.org/10.1016/b978-0-12-822271-3.00011-6
Autor:
Akshay Aggarwal, R. Amutha, K. Ashwini, Alan Swee Hock Ch'ng, Rino Cherian, Nisha Dayana, A. Lenin Fred, Nik Farhan Nik Fuad, Kurubaran Ganasegeran, R. Geetha, M.S. Geetha Devasena, Varun P. Gopi, G. Gopu, Balazs Gulyas, Ajay Kumar Haridhas, G. Indumathi, Rachna Jain, null Jothimani, S.N. Kumar, Vaibhav Kumar, Irene Looi, Ramalatha Marimuthu, Antoanela Naaji, Ain Nazari, J. Neelaveni, Parasuraman Padmanabhan, R. Ponuma, Marius Popescu, E. Priya, Sahar Qazi, Fakhrul Razan Rahmad, Khalid Raza, S.R. Reeja, Manicka Nagarajan Saroja, V. Sathananthavathi, D. Selvathi, Arun Kumar Shanmugam, Sathyamangalam Natarajan Shivappriya, Anis Azwani Muhd Suberi, Razali Tomari, Kiran Waghmare, Wan Nurshazwani Wan Zakaria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b5463fd95a10b2e2d961ad93106d3ec
https://doi.org/10.1016/b978-0-12-822271-3.01002-1
https://doi.org/10.1016/b978-0-12-822271-3.01002-1
Autor:
A. Lenin Fred, T R. Nisha Dayana
Publikováno v:
International Journal of Engineering & Technology. 7:76
Currently, content-based Image recovery (CBIR) drives for producing approaches which supports viable searching and scanning of vast picture progressive libraries by considering unwavering image texture features and has been a rapidly growing inspecti
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