Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Sourabh Shastri"'
Publikováno v:
Health and Technology
Many countries around the world have been influenced by Covid-19 which is a serious virus as it gets transmitted by human communication. Although, its syndrome is quite similar to the ordinary flu. The critical step involved in Covid-19 is the initia
Publikováno v:
Spatial Information Research
The pandemic of novel coronavirus disease 2019 (Covid-19) has left the world to a standstill by creating a calamitous situation. To mitigate this devastating effect the inception of artificial intelligence into medical health care is mandatory. This
Publikováno v:
Evolving Systems. 13:281-295
Coronary artery disease (CAD) is the most prominent disease that is responsible for increasing mortality and morbidity rate from past few decades. Early and accurate detection of CAD (a type of cardiovascular diseases) is among the most pressing need
Publikováno v:
International Journal of Information Technology. 13:959-971
Ensemble learning is one of the powerful machine learning approaches that is generally used to strengthen models by combining the performances of several weak learners. It holds a great potential for solving umpteen problems in healthcare domain by e
Publikováno v:
Society 5.0 and the Future of Emerging Computational Technologies ISBN: 9781003184140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::270a4bff06df55bfac204353588d7339
https://doi.org/10.1201/9781003184140-8
https://doi.org/10.1201/9781003184140-8
Publikováno v:
International Journal of Information Technology. 13:433-446
The ensemble is an efficacious machine learning framework that combines variety of algorithms for better performance and effective prediction. Over the past few years, numerous researchers proposed wide variety of ensemble methodologies in the field
Publikováno v:
Internet of Things ISBN: 9781003219620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec57d6a28bef94c30ea45b09214215ed
https://doi.org/10.1201/9781003219620-13
https://doi.org/10.1201/9781003219620-13
Autor:
Yesake Abaye, Rajeev Agrawal, Faijan Akhtar, Mahmood Aldobali, Dawood M.R. Al-qadasi, R.S. Anand, Gufran Ansari, M.A. Ansari, Ashamo Betelihem Asfaw, Atif Amin Baig, Kahkashan Baig, Rajarshi Bhadra, Meenakshi Bisla, Naveen Chauhan, Harvinder Chhabra, Channabasava Chola, Shrey Dedhia, M.J.A. Fazmiya, Arindam Ganguly, Kanika Garg, G. Gaurav, Hirpesa Kebede Gutema, Talha Hashmi, Md Belal Bin Heyat, Sonali Jadhav, K.B. Jayanthi, Subhajit Kar, Munna Khan, Arvind Kumar, Sachin Kumar, Mohamed Lounis, Vibhakar Mansotra, Sumbul Mehdi, Rajat Mehrotra, Pradeep Mohapatra, Debanjan Mitra, Benjir Nachhmin, Kirti Pal, Khaleequr Rahman, Shrabana Saha, Siddharth Salvi, Preet Sanghavi, Shadan Alam Shadab, Hossain Shahriar, Astha Sharma, Sanjeev Sharma, Sourabh Shastri, Kashif Sherwani, Kuljeet Singh, Nidhi Singh, Punit Kumar Singh, Sudhakar Singh, R. Sivakani, Sweta Sneha, Pankaj Sonawane, Sudha Subramaniam, Arshiya Sultana, Bibi Nushrina Teelhawod, Pragati Tripathi, Usen Usen, Aditi Verma, Shakaria Wilson, Akhter Hussain Yatoo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3583b904110a41190ed27c958379b1a0
https://doi.org/10.1016/b978-0-323-99031-8.09989-0
https://doi.org/10.1016/b978-0-323-99031-8.09989-0
Publikováno v:
SSRN Electronic Journal.