Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shivansh Mittal"'
Publikováno v:
Processes; Volume 11; Issue 7; Pages: 1895
Current performance analysis processes for drag-dominant tidal turbines are unsuitable as disk actuator theory lacks support for varying swept blockage area, bypass flow downstream interaction, and parasitic rotor drag, whereas blade element momentum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::b945a4bdefc57c47a3054bead0b1b29b
Publikováno v:
Proceedings of the VLDB Endowment. 14:2655-2658
Kernel density visualization (KDV) is a commonly used visualization tool for many spatial analysis tasks, including disease outbreak detection, crime hotspot detection, and traffic accident hotspot detection. Although the most popular geographical in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc32e3ff2ed87a0e375eebe621bde99
https://doi.org/10.14778/3476311.3476312
https://doi.org/10.14778/3476311.3476312
Publikováno v:
International Journal for Modern Trends in Science and Technology. 6:459-462
The main objective of this project is to detect audio which may be vulnerable to people living in a family environment and ensure security at their homes. All the process from data collection to data cleaning and then training and testing the finally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0118eb2c6a54413bbcff7b6d4cfcf171
https://doi.org/10.46501/ijmtst061288
https://doi.org/10.46501/ijmtst061288
Harness big data by iCycle: intelligent computer-supported hybrid collaborative learning environment
Publikováno v:
International Journal of Smart Technology and Learning. 2:31
We present a collaborative learning environment called iCycle (Intelligent Computer-supported hybrid Collaborative Learning Environment) along with enabling Artificial Intelligence (AI) applications. The research is derived from a collaboration of fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4518c6a774767235c5ed1d89ba32ee4e
https://doi.org/10.1504/ijsmarttl.2020.10031640
https://doi.org/10.1504/ijsmarttl.2020.10031640
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-1
Kernel functions support a broad range of applications that require tasks like density estimation, classification, regression or outlier detection. For these tasks, a common online operation is to compute the weighted aggregation of kernel function v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ecc6fe448412fd64390905875157dc5
https://doi.org/10.1109/tkde.2020.3018376
https://doi.org/10.1109/tkde.2020.3018376