Video super-resolution based on deep learning: a comprehensive survey
Video super-resolution (VSR) is reconstructing high-resolution videos from low resolution
ones. Recently, the VSR methods based on deep neural networks have made great …
ones. Recently, the VSR methods based on deep neural networks have made great …
Recent advances in Grey Wolf Optimizer, its versions and applications
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
Fractional-order calculus-based flower pollination algorithm with local search for global optimization and image segmentation
Introducing a novel approach to enhance the diversification and intensification propensities
of the flower pollination algorithm (FPA) is the main aim of this paper. Therefore, the …
of the flower pollination algorithm (FPA) is the main aim of this paper. Therefore, the …
Expanding synthetic real-world degradations for blind video super resolution
M Jeelani, N Cheema, K Illgner-Fehns… - Proceedings of the …, 2023 - openaccess.thecvf.com
Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have
drastically improved over the last few years and shown impressive performance on synthetic …
drastically improved over the last few years and shown impressive performance on synthetic …
Fractional-order cuckoo search algorithm for parameter identification of the fractional-order chaotic, chaotic with noise and hyper-chaotic financial systems
D Yousri, S Mirjalili - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Identifying the parameters of the chaos phenomena in the economic-financial systems is a
critical issue to control and avoid the financial crises and bogging the market down …
critical issue to control and avoid the financial crises and bogging the market down …
Fractional-order artificial bee colony algorithm with application in robot path planning
Y Cui, W Hu, A Rahmani - European Journal of Operational Research, 2023 - Elsevier
Artificial bee colony (ABC) algorithm is a popular meta-heuristic optimization algorithm
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …
Efficient fractional-order modified Harris hawks optimizer for proton exchange membrane fuel cell modeling
An effective harmony between the exploration and exploitation phases in meta-heuristics is
an essential design consideration to provide reliable performance on a wide range of …
an essential design consideration to provide reliable performance on a wide range of …
Adaptive fractional-order genetic-particle swarm optimization Otsu algorithm for image segmentation
L Chen, J Gao, AM Lopes, Z Zhang, Z Chu, R Wu - Applied Intelligence, 2023 - Springer
Abstract The two-dimensional (2D) Otsu algorithm used in image segmentation considers
both the gray scale information of the image and the spatial information contained in the …
both the gray scale information of the image and the spatial information contained in the …
Towards high-quality and efficient video super-resolution via spatial-temporal data overfitting
As deep convolutional neural networks (DNNs) are widely used in various fields of computer
vision, leveraging the overfitting ability of the DNN to achieve video resolution upscaling has …
vision, leveraging the overfitting ability of the DNN to achieve video resolution upscaling has …
Kernel adaptive memory network for blind video super-resolution
Although recent video super-resolution (VSR) works show remarkable restoration
performance for low-resolution (LR) video downscaled by a fixed known blur kernel, blind …
performance for low-resolution (LR) video downscaled by a fixed known blur kernel, blind …