Zobrazeno 1 - 10
of 40
pro vyhledávání: '"N. S. Rajput"'
Autor:
D. Mouloua, N. S. Rajput, S. Saitzek, K. Kaja, K. Hoummada, M. El Marssi, M. A. El Khakani, M. Jouiad
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Molybdenum disulfide (MoS2) has been combined so far with other photodetecting semiconductors as an enhancing agent owing to its optical and electronic properties. Existing approaches demonstrated MoS2-incorporated photodetector devices usin
Externí odkaz:
https://doaj.org/article/0aa8e673524c48b28d7b7f1cb72715f1
Autor:
Sumit Srivastava, N. S. Rajput
Publikováno v:
2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC).
Publikováno v:
IGARSS
The accuracy of estimated fractional vegetation cover (FVC) depends on selecting the best suitable input features, precise ground information, and a prediction model. Therefore, in this paper, four machine learning (ML) algorithms, namely Support Vec
Publikováno v:
IGARSS
Convolutional neural networks (CNNs) are top-rated to classify hyperspectral images. Usually, these use the spectral-spatial approach (SSA), in which the patch corresponding to each pixel to be classified extracted from the hyperspectral image. The s
Autor:
Jeff Morgan, Saeed H. Alsamhi, Faris A. Almalki, John G. Breslin, Jahan Hassan, Abdu Saif, Radhya Sahal, Ammar Hawbani, N. S. Rajput
The development of the Internet of Things (IoT) technology and their integration in smart cities have changed the way we work and live, and enriched our society. However, IoT technologies present several challenges such as increases in energy consump
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cda10d69bb9853b20db9cd0c3b154b3
http://research.thea.ie/handle/20.500.12065/3651
http://research.thea.ie/handle/20.500.12065/3651
Autor:
S. N. Chaudhri, N. S. Rajput
Publikováno v:
SENSORNETS
Scopus-Elsevier
Scopus-Elsevier
Publikováno v:
2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS).
Remote sensing is the analytics of sensor data modalities to capture the earth's surface characteristics. The hyperspectral data widely used for surface material identification by using pixel-wise unique signature patterns. The true-color-composite (
Publikováno v:
ISOCC
Intelligent gas monitoring system is having its widespread applications. It essentially requires an accurate classification with precise quantification of gases/odors. Although, gas sensor arrays are capable of generating signatures however, mostly t
Publikováno v:
Blockchain Technologies ISBN: 9789811522048
The increasing urbanization demands development of smart cities. Smart cities can be considered as to serve the requirement of its citizen in better way. The smart cities have many applications involving intelligent gas monitoring. In this chapter we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76213271f5c59718f477703bbc7e830e
https://doi.org/10.1007/978-981-15-2205-5_3
https://doi.org/10.1007/978-981-15-2205-5_3
Publikováno v:
IEEE Sensors Journal. 17:3416-3421
Accurate classification of gases/odors is a classical challenge. Gas sensor arrays are generally used to enhance classification accuracy as they generate unique signature patterns for each individual gas/odor sample. However, instead of using these r