Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Mohd Dilshad Ansari"'
Publikováno v:
Electrica, Vol 22, Iss 3, Pp 403-409 (2022)
Externí odkaz:
https://doaj.org/article/a05873ba5ec641f1b125b13369495fbd
Publikováno v:
International Journal of Optics, Vol 2020 (2020)
Face recognition from an image/video has been a fast-growing area in research community, and a sizeable number of face recognition techniques based on texture analysis have been developed in the past few years. Further, these techniques work well on
Externí odkaz:
https://doaj.org/article/22b3c981f2d34f0aa7ec55882c1b84de
Publikováno v:
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 16:103-109
Aim: A data structure visualisation system uses object-oriented thinking and COM technology to dynamically and interactively simulate and track data structure algorithms and realize the dynamic synchronisation and visualisation of abstract data struc
Autor:
Muqeem Ahmed, Mohd Dilshad Ansari, Ninni Singh, Vinit Kumar Gunjan, Santhosh Krishna B. V., Mudassir Khan
Publikováno v:
Mobile Information Systems. 2022:1-18
Recommender system (RS) is a unique type of information clarification system that anticipates the user's evaluation of items from a large pool based on the expectations of a single stakeholder. The proposed system is highly useful for getting expecte
Publikováno v:
Paladyn, Journal of Behavioral Robotics. 13:99-109
Internet of medical things (IoMT) communication has become an increasingly important component of 5G wireless communication networks in healthcare as a result of the rapid proliferation of IoMT devices. Under current network architecture, widespread
Publikováno v:
Journal of Intelligent Systems. 31:221-236
An intelligent climate and watering agriculture system is presented that is controlled with Android application for smart water consumption considering small and medium ruler agricultural fields. Data privacy and security as a big challenge in curren
Publikováno v:
Journal of Intelligent Systems. 31:501-510
To optimize the weak robustness of traditional face recognition algorithms, the classification accuracy rate is not high, the operation speed is slower, so a face recognition algorithm based on local binary pattern (LBP) and stacked autoencoder (AE)
Publikováno v:
Paladyn, Journal of Behavioral Robotics. 13:67-75
A number of suggestions are made based on the improved evolutionary algorithm and using the polishing parameter optimization of an industrial robot as an example to optimize the industrial process parameter control. By fitting a cubic B-spline curve,
Publikováno v:
Nonlinear Engineering. 11:331-338
In order to improve the performance of edge detection for noisy images, a new edge detection method based on nonlinear structure tensor is proposed. First, the tensor product of noisy images is calculated. The tensor product is diffused according to
Publikováno v:
Recent Advances in Computer Science and Communications. 14:2376-2392
Background: A broad range of nature inspired optimization techniques are proposed in the literature and applied for stock market prediction. They performed notably differently across the stock market datasets. Higher Order Neural Network (HONN) have