Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Rajiv Kapoor"'
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-9 (2024)
Abstract Background Preeclampsia, a condition very frequently linked to maternal and fetal deaths worldwide, remains a pressing concern due to delays in recognition and response. Effective screening tests for early detection of high-risk cases and ap
Externí odkaz:
https://doaj.org/article/cbbc01b6e51642cf80f493e81b7b18d2
Publikováno v:
IET Computer Vision, Vol 11, Iss 3, Pp 207-219 (2017)
Particle filters (PFs) are sequential Monte Carlo methods that use particle representation of state‐space model to implement the recursive Bayesian filter for non‐linear and non‐Gaussian systems. Owing to this property, PFs have been extensivel
Externí odkaz:
https://doaj.org/article/de8ea510f691482abaa1369ffcffd92a
Publikováno v:
Protection and Control of Modern Power Systems, Vol 2, Iss 1, Pp 1-10 (2017)
Abstract The paper deals with the application of Volterra bound Interval type −2 fuzzy logic techniques in power quality assessment. This work proposes a new layout for detection, localization and classification of various types of power quality ev
Externí odkaz:
https://doaj.org/article/49f77855571747199f85f88f2f2ce446
Autor:
Mahipal Singh Choudhry, Rajiv Kapoor
Publikováno v:
Cogent Engineering, Vol 5, Iss 1 (2018)
Segmentation is a very important step in the field of image processing. Noise and intensity inhomogeneity make challenging the segmentation of images, especially for medical images. Fuzzy C-means (FCM) clustering is one of the most widely used method
Externí odkaz:
https://doaj.org/article/e3e8d715ad744c88baa46376f157446d
Autor:
Rajiv Kapoor, Rashmi Gupta
Publikováno v:
IET Computer Vision, Vol 9, Iss 2, Pp 226-233 (2015)
Recently, much research has been carried out on dimensionality reduction techniques that summarise a large set of features into a smaller set, leading to much less redundancy. Among the various non‐linear dimensionality reduction techniques, Isomap
Externí odkaz:
https://doaj.org/article/5903880d3aca49c185a6c3ce27a3bb7b
Autor:
Rajiv Kapoor, Rashmi Gupta
Publikováno v:
IET Computer Vision, Vol 7, Iss 3, Pp 201-208 (2013)
The proposed method is based on extraction of non‐linearity from the nearest neighbourhood elements of image. To detect non‐linearity, relation between the nearest neighbourhood elements of the image, have been expressed in terms of Gaussian memb
Externí odkaz:
https://doaj.org/article/dddb39b8950447e1b292607443fddb16
Publikováno v:
International Journal of System Assurance Engineering and Management. 13:3002-3016
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1d721f4be39d06b8408fa5746c1791d
https://doi.org/10.1007/s13198-022-01780-5
https://doi.org/10.1007/s13198-022-01780-5
Publikováno v:
International Journal of Intelligent Information Technologies. 18:1-16
Image dehazing in supervised learning models suffers from overfitting and underfitting problems. To avoid overfitting, the authors use regularization techniques like dropout and L2 norm. Dropout helps in reducing overfitting and batch normalization r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::407138cdac2fcc877b4cb63defe7badf
https://doi.org/10.4018/ijiit.309584
https://doi.org/10.4018/ijiit.309584
Publikováno v:
Journal of Electrical Engineering. 73:318-324
In our paper, we have proposed to use graphs to detect anomaly in human action video. Although the detection of anomaly is a widely researched topic, but very few researchers have detected anomaly in action video using graphs. in our proposed method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141e4816ca009ef6bcd1196a597cf45c
https://doi.org/10.2478/jee-2022-0042
https://doi.org/10.2478/jee-2022-0042
Multi-sensor based object tracking using enhanced particle swarm optimized multi-cue granular fusion
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd45c1aed9670bd8d926eded8310d915
https://doi.org/10.1007/s11042-023-15164-9
https://doi.org/10.1007/s11042-023-15164-9