Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sumet Mehta"'
Publikováno v:
IEEE Access, Vol 7, Pp 50388-50399 (2019)
GSA is badly suffering from a slow convergence rate and poor local search ability when solving complex optimization problems. To solve this problem, a new hybrid population-based algorithm is proposed with the combination of dynamic multi swarm parti
Externí odkaz:
https://doaj.org/article/987e52713e794c18815fb2df494b55aa
Autor:
Muhammad Sohail, Rashid Ali, Muhammad Kashif, Sher Ali, Sumet Mehta, Yousaf Bin Zikria, Heejung Yu
Publikováno v:
Sensors, Vol 20, Iss 14, p 3945 (2020)
The Internet of Things (IoT) is a world of connected networks and modern technology devices, among them vehicular networks considered more challenging due to high speed and network dynamics. Future trends in IoT allow these inter networks to share in
Externí odkaz:
https://doaj.org/article/fb11f28a81864126818b2288f502fa7b
Publikováno v:
Information, Vol 9, Iss 9, p 234 (2018)
The K-nearest neighbour classifier is very effective and simple non-parametric technique in pattern classification; however, it only considers the distance closeness, but not the geometricalplacement of the k neighbors. Also, its classification perfo
Externí odkaz:
https://doaj.org/article/658d166bc36c4c54a9dc3b73a5cef40e
Publikováno v:
Applied Intelligence. 53:1051-1067
Publikováno v:
Lahore Garrison University Research Journal of Computer Science and Information Technology. 5:78-86
In this era of technology, a lot of advancements have been done in almost every field such as medical, science, aerospace and other fields. With the increasing advancements in technology, a lot of data is being produced at the same time. For instance
Publikováno v:
Multimedia Systems. 28:433-444
Weight normalization (WN) can help to stabilize the distribution of activations over layers, which boost the performance of DNNs in generalization. In this paper, we further propose deep structural weight normalization (DSWN) methods to inject the ne
Autor:
null Sumet Mehta
Publikováno v:
Lahore Garrison University Research Journal of Computer Science and Information Technology. 4:55-72
In this paper, we propose a new dimension reduction (DR) algorithm called ensemble graph-based locality preserving projections (EGLPP); to overcome the neighborhood size k sensitivity in locally preserving projections (LPP). EGLPP constructs a homoge
Publikováno v:
Neurocomputing. 409:431-442
Low-rank representation (LRR) is a very competitive technique in various real-world applications for its powerful capability in discovering latent structure of noisy or corrupted data set. However, traditional low-rank models treat each data point an
Publikováno v:
Lahore Garrison University Research Journal of Computer Science and Information Technology. 4:47-63
Crimes and criminal activities are increasing day by day and there are no proper criteria to search, detect, identify, and predict these criminals. Despite various surveillance cameras in different areas still, crimes are at a peak. The police invest
Autor:
Qing Hua Ling, Arfan Ali Nagra, Fei Han, Farooq Ahmad, Abeo Timothy Apasiba, Muhammad Abubaker, Sumet Mehta
Publikováno v:
Connection Science. 32:16-36
Feature selection is an important task to improve the classifier’s accuracy and to decrease the problem size. A number of methodologies have been presented for feature selection problems using meta...