Results 1 to 10 of about 1,645 (82)
A Multi-Scale Recursive Attention Feature Fusion Network for Image Super-Resolution Reconstruction Algorithm [PDF]
Sensors, 2023 In recent years, deep convolutional neural networks (CNNs) have made significant progress in single-image super-resolution (SISR) tasks. Despite their good performance, the single-image super-resolution task remains a challenging one due to problems with
Xiaowei Han +4 more
doaj +4 more sources
Three-Dimensional Video Super-Resolution Reconstruction Scheme Based on Histogram Matching and Recursive Bayesian Algorithms [PDF]
IEEE Access, 2022 Multimedia Super-Resolution (SR) reconstruction is an essential and mandatory process for different visualization functions. Recently, several schemes have been suggested for single- and multi-image SR reconstruction.
Ghalib H. Alshammri +7 more
doaj +2 more sources
The universal evolutionary computer based on super-recursive algorithms of evolvability
, 2007 This work exposes which mechanisms and procesess in the Nature of evolution compute a function not computable by Turing machine. The computer with intelligence that is not higher than one bacteria population could have, but with efficency to solve the problems that are non-computable by Turing machine is represented.
Darko Roglic
openaire +4 more sources
Three aspects of super-recursive algorithms and hypercomputation or finding black swans
Theoretical Computer Science, 2004 Mark Burgin, Allen Klinger
+6 more sources
Image Super-resolution Reconstruction Using Recursive ResidualNetwork Based on ChannelAttention [PDF]
Jisuanji kexue, 2021 In recent years,deep learning has been widely used in image super-resolution reconstruction.To solve the problems of inadequate feature extraction,loss of details and gradient disappearance in super-resolution reconstruction methods based on deep ...
GUO Lin, LI Chen, CHEN Chen, ZHAO Rui, FAN Shi-lin, XU Xing-yu
doaj +1 more source
Mathematics, 2023 Aiming at the unknown uncertainty of an active power filter system in practical operation, combining the advantages of self-feedback structure, interval type-2 fuzzy neural network, and super-twisting sliding mode, an adaptive super-twisting sliding mode
Jiacheng Wang, Yunmei Fang, Juntao Fei
doaj +1 more source
Applied Sciences, 2023 Location information is one of the crucial and essential elements for monitoring data in wireless sensor networks. The distance vector-hop (DV-Hop) localization algorithm is of practical importance in improving its localization performance.
Qing Zhao, Zhen Xu, Lei Yang
doaj +1 more source
Drones, 2022 Unmanned aerial vehicles (UAVs) have been widely applied over the past decades, especially in the military field. Due to the unpredictability of the flight environment and failures, higher requirements are placed on the design of the control system of ...
Zhe Dong, Kai Liu, Shipeng Wang
doaj +1 more source
Complexity-Reduced Super Resolution for Foveation-Based Driving Head Mounted Displays
IEEE Access, 2021 In this paper, we propose a foveation-based super resolution (SR) algorithm to create high resolution images from low resolution inputs for virtual reality head mounted displays.
Hyoungsik Nam, Hangyeol Kang
doaj +1 more source