Results 111 to 120 of about 21,806 (260)

Advanced Molecular Imaging Probes for Skeletal Diseases: Current Progress and Future Perspectives

iRADIOLOGY, EarlyView.
This review summarizes the potential molecular imaging techniques and probes for common orthopedic diseases, such as trauma, infection, metabolism, tumor, joint, spine and other fields, aiming to provide a basis for the development of a new generation of molecular imaging probes.
Shuo Guo, Yuling Cui, Zhiye Fan, Chenxin Jiang, Bowen Fu, Guangbin Cui, Yanli He   +6 more
wiley   +1 more source

OVERVIEW OF OPTIMIZATION ALGORITHMS AT FINITE ELEMENTS MODELING OF CONDENSING UNITS DESIGN

Весці Нацыянальнай акадэміі навук Беларусі: Серыя фізіка-тэхнічных навук, 2016
A multiobjective optimization problem of a condensing unit frame is considered. Abstract of multiobjective optimization methods and algorithms is given. The article provides an example of genetic algorithm usage for seeking optimal parameters of the unit
S. V. Krasnovskaya, V. V. Naprasnikov
doaj  

Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization

International Journal of Aerospace Engineering
In the field of aerospace, solving the boundary problem associated with the parachute-capsule system remains a big challenge. The conventional Monte Carlo method proves inadequate for acquiring comprehensive boundary information.
Wen Zou, Zhanxin Cui, Genghui Li, Zhiwei Feng, Zhenkun Wang, Qingyu Gao, Qingbin Zhang, Tao Yang   +7 more
doaj   +1 more source

A Polynomial Chaos Approach to Robust Multiobjective Optimization [PDF]

, 2009
Robust design optimization is a modeling methodology, combined with a suite of computational tools, which is aimed to solve problems where some kind of uncertainty occurs in the data or in the model. This paper explores robust optimization complexity in
Lovison, Alberto, Poles, Silvia
core   +1 more source

DeepSeek‐Lattice‐KG: A Compact Language Model With Knowledge Graph Augmentation for Lattice Structure Design

Materials Genome Engineering Advances, EarlyView.
DeepSeek‐Lattice‐KG integrates a domain‐adapted 14B LLM with a Neo4j lattice knowledge graph distilled from 50,000 papers. It analyzes queries, retrieves supporting subgraphs, and generates grounded answers; on a 2100‐question, six‐domain benchmark, it achieves 94.8% accuracy.
Zhiyang Shu, Chao Wang, Changsheng Feng, Feiyu Zhou, Xueyan Chen, Yan Chen, Yilun Liu   +6 more
wiley   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

Close‐to‐nature management regulates ecosystem carbon storage through its effects on vegetation community structure in Pinus massoniana plantations

PLANTS, PEOPLE, PLANET, EarlyView.
Forest plantations play an increasingly important role in climate change mitigation through carbon sequestration, yet management strategies that enhance long‐term ecosystem carbon storage remain insufficiently understood. We investigated the effects of more than a decade of close‐to‐nature management on community structure and ecosystem carbon storage ...
Yuwen Luo, Yunliang Ni, Zongzheng Chai
wiley   +1 more source

Regional Sustainability Assessment Under Risk and Uncertainty: A Water–Energy–Food Based Framework

Sustainable Development, EarlyView.
ABSTRACT Regional sustainability assessment requires integrated structures that can examine the interactions between Water–Energy–Food (WEF) systems, socio‐economic risk conditions, and performance outcomes under uncertainty. This study proposes a multidimensional framework that combines a suitability index, composite sustainability indicators ...
Murat Oturakci
wiley   +1 more source

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source

Multiobjective simulation optimization.

, 2020
This doctoral dissertation focuses on multiobjective stochastic simulation optimization, and has been developed on the on the interface of two key research fields: operations research and artificial intelligence. Operations research models are commonly applied to support decisions in complex business and industrial systems (e.g., operations management,
openaire   +2 more sources