Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ankur Kulhari"'
Publikováno v:
Indian Journal of Entomology.
Investigations on biology of shoot and fruit borer (Earias vitella) on okra revealed that the freshly laid eggs were spherical, bluish green and finally become brownish. These measured 0.52± 0.02 x 0.51± 0.02 mm.The incubation period was 3.35± 0.7
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:1-29
Sentiment analysis is a type of contextual text mining that assesses how users feel about emotive topics that are frequently discussed on social media. To analyze the sentiments of the textual data, a number of sentiment analysis methods such as lexi
Publikováno v:
International Journal of System Assurance Engineering and Management. 9:821-829
Unsupervised data classification (data clustering) is one of the mostly used data analysis methods which groups the unlabeled data into identical clusters (groups). Classical clustering methods do not perform effectively while clustering high dimensi
Autor:
Avinash C. Pandey, Ankur Kulhari
Publikováno v:
Advances in Computer and Computational Sciences ISBN: 9789811037726
Classification of satellite images can be used for land information extraction, i.e., land cover maps, forest maps, industrial maps, residential maps, flooded maps, etc. The classification can be performed using any of the two methods, namely supervi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8b825b583042c71676b4015ba028306
https://doi.org/10.1007/978-981-10-3773-3_35
https://doi.org/10.1007/978-981-10-3773-3_35
Autor:
Mukesh Saraswat, Ankur Kulhari
Publikováno v:
IC3
A robust subspace clustering assigns a label to each data point in a noisy and high dimensional dataset which has a collection of multiple linear subspaces of low dimension. To reduce the effect of noise in the dataset for subspace clustering, many m
Publikováno v:
IC3
Data clustering is one of the widely used data analysis methods which groups the unlabeled data into similar clusters. Classical data clustering methods under-performs to cluster multi-dimensional dataset such as micro arrays datasets. Therefore, thi
Publikováno v:
IC3
Gravitational search algorithm is a popular adaptive search algorithm among nature-inspired algorithms and has been successfully used for optimizing many real-world problems. Gravitational search algorithm uses the law of Newton gravity for finding t
Autor:
Avinash C. Pandey, Ankur Kulhari
Publikováno v:
2016 Second International Conference on Computational Intelligence & Communication Technology (CICT).
Differentiated Services provide Quality of Service within a domain by aggregation of flows. There are mainly four modules which work together in Differentiated Services Classifier, Meter, Marker, and Shaper/Dropper. When congestion increases at Diffe
Publikováno v:
International Journal of Computer Applications. 101:5-7
Internet applications are growing rapidly. The requirement of QoS by these applications varies from very lenient to strict. Maintaining QoS is one of the most typical and challenging task in such scenario. Differentiated services architecture is very
Publikováno v:
2014 International Conference on Computational Intelligence and Communication Networks.
It is essential for a network to support guaranteed quality-of-service (QoS) for some applications on Internet. Robustness of the network plays an important role to achieve the basic QoS requirements to support real-time applications. Though it has b