Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Moutan Mukhopadhyay"'
Publikováno v:
Neural Computing and Applications. 35:6499-6514
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031250873
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ac5e4d30706d49378282e61efbee8ff
https://doi.org/10.1007/978-3-031-25088-0_9
https://doi.org/10.1007/978-3-031-25088-0_9
Publikováno v:
International Journal of Privacy and Health Information Management. 8:13-51
Like other fields, the healthcare sector has also been greatly impacted by big data. A huge volume of healthcare data and other related data are being continually generated from diverse sources. Tapping and analysing these data, suitably, would open
Publikováno v:
2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON).
Human emotional states can be detected by various ways such as analysingthe brain signals (EEG), speech, skin responses, facial expressions, body gestures etc. But facial expressions recognition is one of the popular techniquesand easy to detect with
Autor:
Radhika Adholeya, Abdelmegeid Amin Ali, Eman M. Anwar, Caitrin Armstrong, Monika Arora, Shivam Bachhety, Siddhant Bagga, David Benrimoh, E. Dhiravida Chelvi, Samarth Chugh, Vandna Dahiya, Robert Fratila, Cheryl Gabbay, R. Gopi, Sarthak Gupta, Hassan Shaban Hassan, G.R. Hemalakshmi, Sonia Israel, Rachna Jain, T. Jayasankar, Shivani Kapania, Ashish Khanna, Akiva Kleinerman, Sujatha Krishamoorthy, N. Krishnaraj, Shubham Kumaram, Timothe Langlois-Therrien, G. Manjula, Joseph Mehltretter, Nykan Mirchi, Moutan Mukhopadhyay, Saurabh Pal, Kelly Perlman, N.B. Prakash, Pijush Kanti Dutta Pramanik, S. Sheeba Rani, Shiva Shankar Reddy, Blagoj Ristevski, Colleen Rollins, Ariel Rosenfeld, Bechara Saab, Snezana Savoska, K. Shankar, Swati Sharan, Deepak Kumar Sharma, C. Sharon Roji Priya, Simar Preet Singh, Emily Snook, Myriam Tanguay-Sela, Mark Thoburn, S. Venkata Lakshmi, Amit Yaniv-Rosenfeld
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f70ba6199b7a4e9a311d2d7c222079f8
https://doi.org/10.1016/b978-0-12-820203-6.00018-7
https://doi.org/10.1016/b978-0-12-820203-6.00018-7
Publikováno v:
Studies in Big Data ISBN: 9789813363991
In the era of Big Data, a massive amount of data is generated and collected, continually, from various sources. To use these data for their optimum value, i.e. to uncover correlations, hidden patterns and other valuable insights, they need to be proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de8ad6252bce95609db7c5e8495e19ee
https://doi.org/10.1007/978-981-33-6400-4_4
https://doi.org/10.1007/978-981-33-6400-4_4
Autor:
Saurabh Pal, Niloy Dasgupta, Moutan Mukhopadhyay, Prasenjit Choudhury, Anand Nayyar, Pijush Kanti Dutta Pramanik
Publikováno v:
ICIIT
Despite the success and the popularity of the online learning system, it still lacks in dynamically adapting suitable pedagogical methods according to the changing emotions and behaviour of the learner, as can be done in the face-to-face mode of lear
Publikováno v:
Frontiers in Intelligent Computing: Theory and Applications ISBN: 9789813291850
To have an effective e-learning system, it is important to recommend the appropriate learning material on the basis of suitable difficulty level to the learner for comprehension. For this, assessing the difficulty level of the learning material in te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73634d7077f0a6681936bd962c5b07ed
https://doi.org/10.1007/978-981-32-9186-7_29
https://doi.org/10.1007/978-981-32-9186-7_29
Big data has unlocked a new opening in healthcare. Thanks to the considerable benefits and opportunities, it has attracted the momentous attention of all the stakeholders in the healthcare industry. This chapter aims to provide an overall but thoroug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0565bcfeb8ae6efbc301ff345498b52e
https://doi.org/10.4018/978-1-5225-7071-4.ch004
https://doi.org/10.4018/978-1-5225-7071-4.ch004