Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chiranjibi Shah"'
Publikováno v:
Healthcare Analytics, Vol 4, Iss , Pp 100280- (2023)
Blockchain technology and the Internet of Medical Things (IoMT) have garnered increased attention recently due to their growing application in effectively managing data security, storage, and transmission concerns within healthcare organizations. How
Externí odkaz:
https://doaj.org/article/5d6db2cc79534ee1935601eaa76ced81
Autor:
Jack H. Prior, Matthew D. Campbell, Matthew Dawkins, Paul F. Mickle, Robert J. Moorhead, Simegnew Y. Alaba, Chiranjibi Shah, Joseph R. Salisbury, Kevin R. Rademacher, A. Paul Felts, Farron Wallace
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Increased necessity to monitor vital fish habitat has resulted in proliferation of camera-based observation methods and advancements in camera and processing technology. Automated image analysis through computer vision algorithms has emerged as a too
Externí odkaz:
https://doaj.org/article/cd4eb2ad64594485a9d9b9ee2c5296c1
Autor:
Chiranjibi Shah, Qian Du
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5248-5259 (2021)
Sparse representation can be used for the representation of high-dimensional data into a low-dimensional subspace. Recently, sparse graph-based discriminant analysis that uses l1-norm optimization has drawn much attention in dimensionality reduction
Externí odkaz:
https://doaj.org/article/6ec9dbb6c6204695ac1d86a71a057b8c
Autor:
Simegnew Yihunie Alaba, M M Nabi, Chiranjibi Shah, Jack Prior, Matthew D. Campbell, Farron Wallace, John E. Ball, Robert Moorhead
Publikováno v:
Sensors, Vol 22, Iss 21, p 8268 (2022)
Fish species recognition is crucial to identifying the abundance of fish species in a specific area, controlling production management, and monitoring the ecosystem, especially identifying the endangered species, which makes accurate fish species rec
Externí odkaz:
https://doaj.org/article/872a1e7de9a64381a696b359eb2a50a8
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 716 (2022)
Tree-based methods and deep neural networks (DNNs) have drawn much attention in the classification of images. Interpretable canonical deep tabular data learning architecture (TabNet) that combines the concept of tree-based techniques and DNNs can be
Externí odkaz:
https://doaj.org/article/bf1a4af53e6747448d818e283d37b512
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-15
Autor:
Chiranjibi Shah, Qian Du
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Recently, graph-based discriminant analysis has drawn much attention in representing a high-dimensional hyperspectral data set using a low-dimensional subspace by defining high-dimensional data structure on a graph. Obtaining optimal representation c
Autor:
Chiranjibi Shah, Qian Du
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
Chiranjibi Shah, Qian Du
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
Qian Du, Chiranjibi Shah
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5248-5259 (2021)
IGARSS
IGARSS
Sparse representation can be used for the representation of high-dimensional data into a low-dimensional subspace. Recently, sparse graph-based discriminant analysis that uses l1-norm optimization has drawn much attention in dimensionality reduction