A novel clustering method using enhanced grey wolf optimizer and mapreduce
With advancement of the technology, data size is increasing rapidly. For making intelligent
decisions based on data, efficacious analytic methods are required. Data clustering, a …
decisions based on data, efficacious analytic methods are required. Data clustering, a …
[HTML][HTML] EEWC: energy-efficient weighted clustering method based on genetic algorithm for HWSNs
Wireless sensor networks are widely used in monitoring and managing environmental
factors like air quality, humidity, temperature, and pressure. The recent works show that …
factors like air quality, humidity, temperature, and pressure. The recent works show that …
Optimised robust watermarking technique using CKGSA in DCT‐SVD domain
Digital watermarking embeds a watermark to minimise the problem of illegal copying and
disseminating multimedia contents. However, the existing techniques do not maintain the …
disseminating multimedia contents. However, the existing techniques do not maintain the …
[HTML][HTML] A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks
Background The energy-constrained heterogeneous nodes are the most challenging
wireless sensor networks (WSNs) for developing energy-aware clustering schemes …
wireless sensor networks (WSNs) for developing energy-aware clustering schemes …
An automatic nuclei segmentation method using intelligent gravitational search algorithm based superpixel clustering
H Mittal, M Saraswat - Swarm and Evolutionary Computation, 2019 - Elsevier
A reliable nuclei segmentation is still an open-ended problem, especially in the breast
cancer histology images. For the same, this paper proposes an intelligent gravitational …
cancer histology images. For the same, this paper proposes an intelligent gravitational …
An optimized robust watermarking technique using CKGSA in frequency domain
The existing SVD based watermarking techniques insert watermark into the singular
component which causes the false positive problem (FPP). To overcome this problem, a …
component which causes the false positive problem (FPP). To overcome this problem, a …
[HTML][HTML] Adaptive habitat biogeography-based optimizer for optimizing deep CNN hyperparameters in image classification
Abstract Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in
image classification tasks, but optimizing their hyperparameters can be challenging due to …
image classification tasks, but optimizing their hyperparameters can be challenging due to …
Histopathological image classification using enhanced bag-of-feature with spiral biogeography-based optimization
R Pal, M Saraswat - Applied Intelligence, 2019 - Springer
An exponential growth of histopathological digital images over the Internet requires an
efficient method for organizing them properly for better retrieval and analysis process. For …
efficient method for organizing them properly for better retrieval and analysis process. For …
[HTML][HTML] Optimal keyframe selection-based lossless video-watermarking technique using IGSA in LWT domain for copyright protection
Video piracy is a challenging issue in the modern world. Approximately 90\% 90% of newly
released films were illegally distributed around the world via the Internet. To overcome this …
released films were illegally distributed around the world via the Internet. To overcome this …
Energy efficient multi-criterion binary grey wolf optimizer based clustering for heterogeneous wireless sensor networks
Wireless sensor networks are constrained by limited energy resources of sensor nodes,
which limits the efficiency and lifetime of the network. Clustering is a widely adopted strategy …
which limits the efficiency and lifetime of the network. Clustering is a widely adopted strategy …