Results 51 to 60 of about 34,499 (189)

Efficiently Refining Beampattern in FDA-MIMO Radar via Alternating Manifold Optimization for Maximizing Signal-to-Interference-Noise Ratio

Remote Sensing
Joint transceiver beamforming is a fundamental and crucial research task in the field of signal processing. Despite extensive efforts made in recent years, the joint transceiver beamforming of frequency diverse array (FDA)-based multiple-input and ...
Langhuan Geng, Yong Li, Limeng Dong, Yumei Tan, Wei Cheng   +4 more
doaj   +1 more source

A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu, Ruoxiao Liu, Wenxin Li, Zhenming Su, Long Jin   +4 more
wiley   +1 more source

Adaptive Hybrid Chance‐Constrained SOCP‐Based ACOPF for Coordinated Optimisation of Integrated Energy Systems

IET Smart Energy Systems, EarlyView.
An adaptive chance‐constrained hybrid SOCP‐Based ACOPF for coordinated optimisation of integrated source–grid–load–storage systems is presented. The coordinated optimisation of integrated source–grid–load–storage (SGLS) systems is challenged by renewable energy uncertainty, complex industrial load characteristics and stringent policy constraints ...
Mingyue He, Zhengxiang Song, Jun Yang, Shaohua Zhang, Ya Mou, Zhongxia Zhang, Jiaqi Wu   +6 more
wiley   +1 more source

Computing Skinning Weights via Convex Duality

Computer Graphics Forum, EarlyView.
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley   +1 more source

Advancing Distribution System Planning: Exact MINLP Methods for Optimal PV and Reactive Device Deployment

Applied System Innovation
The planning of unbalanced three-phase distribution networks increasingly requires the coordinated integration of distributed energy resources, such as photovoltaic (PV) generators and static compensators (D-STATCOMs), to enhance system performance and ...
Brandon Cortés-Caicedo, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Santiago Bustamante-Mesa, Walter Gil-González   +4 more
doaj   +1 more source

Diffusion model‐regularized implicit neural representation for computed tomography metal artifact reduction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen, Chenhe Du, Xiao Wang, Yuyao Zhang   +3 more
wiley   +1 more source

Provincial Water Resource Allocation in Agricultural Sector Using Conflict Resolution Methods in Atrak Basin

مجله آب و خاک, 2017
Introduction: In spite of improving the water productivity due to development in water infrastructure systems, population increasing causing the water withdrawal is triple in the last fifty years.
Parvaneh KazemiMeresht, Shahab Araghinejad   +1 more
doaj   +1 more source

Bounding-focused discretization methods for the global optimization of nonconvex semi-infinite programs

Computational Optimization and Applications
We use sensitivity analysis to design bounding-focused discretization (cutting-surface) methods for the global optimization of nonconvex semi-infinite programs (SIPs). We begin by formulating the optimal bounding-focused discretization of SIPs as a max-min problem and propose variants that are more computationally tractable.
Evren M. Turan, Johannes Jäschke, Rohit Kannan   +2 more
openaire   +3 more sources

A deterministic global optimization algorithm based on a linearizing method for nonconvex quadratically constrained programs

Mathematical and Computer Modelling, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qu, Shao-Jian, Ji, Ying, Zhang, Ke-Cun
openaire   +2 more sources

Spatial Image Gradient Estimation From the Diffusion MRI Profile

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2980-2991, May 2026.
ABSTRACT Purpose In the course of diffusion, water molecules encounter varying values for the relaxation‐time properties of the underlying tissue. This factor, which has rarely been accounted for in diffusion MRI (dMRI), is modeled in this work, allowing for the estimation of the gradient of relaxation‐time properties from the dMRI signal. Methods With
Iman Aganj, Thorsten Feiweier, John E. Kirsch, Bruce R. Fischl, Andre J. van der Kouwe   +4 more
wiley   +1 more source