Results 21 to 30 of about 1,950,051 (253)

Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization

Frontiers in Bioengineering and Biotechnology, 2022
In order to solve the problems of poor image quality, loss of detail information and excessive brightness enhancement during image enhancement in low light environment, we propose a low-light image enhancement algorithm based on improved multi-scale ...
Ying Sun, ZiCheng Zhao, Du Jiang, Xiliang Tong, Bo Tao, Guozhang Jiang, Jianyi Kong, Juntong Yun, Y. Liu, Xin Liu, Guojun Zhao, Zifan Fang   +11 more
semanticscholar   +1 more source

Distributed Parallel Particle Swarm Optimization for Multi-Objective and Many-Objective Large-Scale Optimization

IEEE Access, 2017
With the advent of big data era, complex optimization problems with many objectives and large numbers of decision variables are constantly emerging. Traditional research about multi-objective particle swarm optimization (PSO) focuses on multi-objective ...
Bin Cao, Jianwei Zhao, Zhihan Lv, Xin Liu, Shan Yang, Xinyuan Kang, Kai Kang   +6 more
doaj   +1 more source

Multi-Agent Distributed Optimization via Inexact Consensus ADMM [PDF]

, 2014
Multi-agent distributed consensus optimization problems arise in many signal processing applications. Recently, the alternating direction method of multipliers (ADMM) has been used for solving this family of problems.
Chang, Tsung-Hui, Hong, Mingyi, Hong, Mingyi, Wang, Xiangfeng   +3 more
core   +4 more sources

Multi-time-scale economic scheduling method for electro-hydrogen integrated energy system based on day-ahead long-time-scale and intra-day MPC hierarchical rolling optimization

Frontiers in Energy Research, 2023
To build a clean, secure, and efficient energy system, the hydrogen energy is an important developing trend for the energy revolution, and electro-hydrogen coupling system is expected to play an important role in the future.
Leiqi Zhang, Wuzhen Dai, Bo Zhao, Xuesong Zhang, Min Liu, Qiliang Wu, Jian Chen   +6 more
doaj   +1 more source

A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization [PDF]

, 2011
Conjugate gradient methods are widely used for solving large-scale unconstrained optimization problems, because they do not need the storage of matrices.
Hager W. W., Hiroshi Yabe, John A. Ford, Yabe H., Yasushi Narushima   +4 more
core   +1 more source

Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology

IEEE Transactions on Medical Imaging, 2017
To obtain a patient-specific cardiac electro-physiological (EP) model, it is important to estimate the 3-D distributed tissue properties of the myocardium. Ideally, the tissue property should be estimated at the resolution of the cardiac mesh.
J. Dhamala, H. Arevalo, J. Sapp, M. Horacek, Katherine C. Wu, N. Trayanova, Linwei Wang   +6 more
semanticscholar   +1 more source

Multi-objective Optimization Method Based on Reinforcement Learning in Multi-domain SFC Deployment [PDF]

Jisuanji kexue, 2021
With the development of network virtualization technology,the deployment of service function chain in multi-domain network brings new challenges to the optimization of service function chain.The traditional deployment method usually optimizes a single ...
WANG Ke, QU Hua, ZHAO Ji-hong
doaj   +1 more source

Optimal Beamforming for Hybrid Satellite Terrestrial Networks with Nonlinear PA and Imperfect CSIT [PDF]

, 2020
In hybrid satellite-terrestrial networks (HSTNs), spectrum sharing is crucial to alleviate the "spectrum scarcity" problem. Therein, the transmit beams should be carefully designed to mitigate the inter-satellite-terrestrial interference.
Chen, Yunfei, Feng, Wei, Ge, Ning, Liu, Chengxiao, Wang, Cheng-Xiang   +4 more
core   +2 more sources

Cross-Scale Cost Aggregation for Stereo Matching [PDF]

, 2014
Human beings process stereoscopic correspondence across multiple scales. However, this bio-inspiration is ignored by state-of-the-art cost aggregation methods for dense stereo correspondence.
Dongbo Min, Kang Zhang, Lifeng Sun, Qi Tian, Shiqiang Yang, Shuicheng Yan, Yuqiang Fang   +6 more
core   +1 more source

Algorithms for entanglement renormalization [PDF]

, 2009
We describe an iterative method to optimize the multi-scale entanglement renormalization ansatz (MERA) for the low-energy subspace of local Hamiltonians on a D-dimensional lattice.
G. Evenbly, G. Vidal, O. Bratteli, P. Di Francesco, R. J. Baxter   +4 more
core   +2 more sources