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A metaheuristic multi-objective interaction-aware feature selection method
Another problem with multi-objective feature selection approaches is the interaction between features.
Underwater Image Super-Resolution using Generative Adversarial Network-based Model
Single image super-resolution (SISR) models are able to enhance the resolution and visual quality of underwater images and contribute to a better understanding of underwater environments.
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
Deep learning-based super-resolution methods can help to improve the resolution and perceptual quality of low-resolution (LR) medical images.
An Evolutionary Correlation-aware Feature Selection Method for Classification Problems
Firstly, as an extension of EDA, the proposed method generates only two individuals in each iteration that compete based on a fitness function and evolve during the algorithm, based on our proposed update procedure.
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
The important challenges in accurate detection of automated epileptic seizures using DL with EEG and MRI modalities are discussed.
WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II
Digital watermarking is a remarkable issue in the field of information security to avoid the misuse of images in multimedia networks.
