Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Shakuntala Laskar"'
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 12, Iss 4, Pp 2721-2729 (2022)
Deep-Learning and image processing have shown excellent performance in automated fish image classification and recognition task in recent years. In this research paper, we have come up with a novel deep-learning method based on CNN features extracted
Externí odkaz:
https://doaj.org/article/a42ac8957d9c49c88bf1571dab889f1a
Autor:
Deba Kumar Mahanta, Shakuntala Laskar
Publikováno v:
Journal of Advanced Dielectrics, Vol 7, Iss 4, Pp 1730001-1-1730001-9 (2017)
Insulating liquid plays an important role for the life span of the transformer. Petroleum-based mineral oil has become dominant insulating liquid of transformer for more than a century for its excellent dielectric and cooling properties. However, the
Externí odkaz:
https://doaj.org/article/b0b36693a8544443b3340154a29011a7
Publikováno v:
Journal of The Institution of Engineers (India): Series B. 104:603-621
Publikováno v:
Ecological Informatics. 75:102044
Autor:
Nilakshi Devi, Shakuntala Laskar
Publikováno v:
Bhartiya Krishi Anusandhan Patrika.
Background: India is mainly an agriculturist country where agriculture is a very important sector for Indian economy. Different varieties of crops are grown in huge acres of land yielding sufficient quantity. But due to frequent attacks of pests and
Publikováno v:
IEEE Sensors Journal. 20:3429-3441
Polyaniline in its emeraldine salt form was obtained by chemical oxidative polymerization of aniline monomer. PANi thus obtained was mixed with tantalum pentoxide (Ta2O5) nano powder in 50 wt% to get PANi-Ta2O5 nanocomposite. The nanocomposite was fu
Autor:
Subra Mukherjee, Shakuntala Laskar
Publikováno v:
Journal of Optics. 48:87-103
A Vis–NIR-based optical sensor system for monitoring of soil nutrients has been developed in this work. This instrument allows the measurement of three nutrients: nitrogen, phosphorous and potassium in soil. The sensing is based on the diffused ref
Autor:
Shakuntala Laskar, Jayashree Deka
Publikováno v:
2020 International Conference on Computational Performance Evaluation (ComPE).
Detection of edge in image is a fundamental requirement involved in computer vision and image processing applications. In this paper, the performance of traditional edge detectors is compared with Grunwald-Letnikov(G-L) based Fractional Order Derivat
Autor:
Jayashree Deka, Shakuntala Laskar
Publikováno v:
2020 International Conference on Emerging Smart Computing and Informatics (ESCI).
Detection of edges in image is a basic preprocessing step involved in image processing applications. In this paper, the performances of Grunwald-Letnikov(G-L) Fractional Order Derivative (FOD) based Prewitt, Sobel and Laplacian operators are measured
Autor:
Deba Kumar Mahanta, Shakuntala Laskar
Publikováno v:
IEEE Sensors Journal. 18:1506-1512
Measurement of transformer oil quality plays an important role in health condition monitoring of a transformer. The breakdown voltage of transformer oil is influenced by both water content and temperature variation. Therefore, accurate assessment of