Zobrazeno 1 - 10
of 314
pro vyhledávání: '"Mukesh Singhal"'
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 2, Iss 1, Pp 59-64 (2013)
The purpose of grid computing is to produce a virtual supercomputer by using free resources available through widespread networks such as the Internet. This resource distribution, changes in resource availability, and an unreliable communication infr
Externí odkaz:
https://doaj.org/article/2d60672bd29447a49910c2fe847b63f8
Autor:
Mukesh Singhal, Romil Singhal
Publikováno v:
Indian Journal of Dental Research, Vol 23, Iss 1, Pp 112-115 (2012)
Objective: Even with beautifully done restorations, an unattractive gingival zenith position, can negatively affect the smile of a person. In this short communication we describe the treatment of a rotated maxillary right central incisor using a digi
Externí odkaz:
https://doaj.org/article/6879e5a0a57d4952a644862945fd4cbe
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
Multimedia Tools and Applications. 81:41697-41710
A convenient, accurate and well-known way toward any supervised task is using Nearest Neighbor approach or its variants. However, there has been little attempt toward improving interpretability by human and providing a classical optimization of Synth
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Autor:
Zhixun He, Mukesh Singhal
Publikováno v:
2022 3rd International Conference on Pattern Recognition and Machine Learning (PRML).
Publikováno v:
The Journal of Supercomputing. 77:5239-5266
Tree construction is one of the popular methods for tackling any supervised task in machine learning. However, there has been little effort in applying trees for unsupervised tasks. The traditional unsupervised trees are based on recursively partitio