Zobrazeno 1 - 10
of 1 526
pro vyhledávání: '"Nasipuri, P."'
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence,2015
This paper presents a new technique for person recognition based on the fusion of hand geometric features of both the hands without any pose restrictions. All the features are extracted from normalized left and right hand images. Fusion is applied at
Externí odkaz:
http://arxiv.org/abs/2410.09842
The influence of fractional order parameter $(\alpha)$ in nonlinear waves is examined in the fractional Zakharov-Kuznetsov (FZK) equation with the Hirota bilinear approach. Symbolic computation is used for all mathematical calculations. A significant
Externí odkaz:
http://arxiv.org/abs/2409.18993
Autor:
Nasipuri, Snehalata, Chandra, Swarniv, Ghosh, Uday Narayan, Das, Chinmay, Chatterjee, Prasanta
In different nonlinear mediums, the wave trains carry energy and expose many amazing features. To describe a nonlinear phenomenon, a soliton is one that preserves its shape and amplitude even after the collision. Breather is one kind of soliton struc
Externí odkaz:
http://arxiv.org/abs/2407.06825
Deep Learning, particularly Convolutional Neural Networks (CNN), has been successful in computer vision tasks and medical image analysis. However, modern CNNs can be overconfident, making them difficult to deploy in real-world scenarios. Researchers
Externí odkaz:
http://arxiv.org/abs/2403.10881
Since 2019, the global COVID-19 outbreak has emerged as a crucial focus in healthcare research. Although RT-PCR stands as the primary method for COVID-19 detection, its extended detection time poses a significant challenge. Consequently, supplementin
Externí odkaz:
http://arxiv.org/abs/2403.10880
Digital forensic is now an unavoidable part for securing the digital world from identity theft. Higher order of crimes, dealing with a massive database is really very challenging problem for any intelligent system. Biometric is a better solution to w
Externí odkaz:
http://arxiv.org/abs/2402.11206
Biometrics is indispensable in this modern digital era for secure automated human authentication in various fields of machine learning and pattern recognition. Hand geometry is a promising physiological biometric trait with ample deployed application
Externí odkaz:
http://arxiv.org/abs/2312.10447
In this paper, we use a very prominent technique, Hirota Bilinear Method (HBM) to survey the lump structures of the Kadomtsev-Petviashvili (KP) equation in the frame of a collisionless magnetized plasma system composed of dust grains, ions, and nonex
Externí odkaz:
http://arxiv.org/abs/2310.03329
Publikováno v:
Proceedings of International Conference on Frontiers in Computing and Systems. COMSYS 2022
Fine-grained image classification (FGIC) is a challenging task in computer vision for due to small visual differences among inter-subcategories, but, large intra-class variations. Deep learning methods have achieved remarkable success in solving FGIC
Externí odkaz:
http://arxiv.org/abs/2308.01813
Publikováno v:
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023
Human body-pose estimation is a complex problem in computer vision. Recent research interests have been widened specifically on the Sports, Yoga, and Dance (SYD) postures for maintaining health conditions. The SYD pose categories are regarded as a fi
Externí odkaz:
http://arxiv.org/abs/2308.00323