Results 161 to 170 of about 66,012 (265)

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

Improved multi-objective decision-making in manufacturing processes through uncertainty quantification and robust pareto front modelling. [PDF]

Sci Rep
De Temmerman A, Verbeke M.
europepmc   +1 more source

Equity in Evacuation Planning and Mitigation: Implications of Transportation Infrastructure and Social Vulnerability

Growth and Change, Volume 57, Issue 2, June 2026.
ABSTRACT This research addresses a critical but underexamined challenge in disaster preparedness: the identification of neighborhoods where evacuation is hardest to accomplish based on physical infrastructure constraints as well as inherent social vulnerability. Existing evacuation approaches emphasize the flow of traffic and the capacity of roads, but
Zhongqi Zheng, Alan T. Murray
wiley   +1 more source

A multi objective optimization framework for smart parking using digital twin pareto front MDP and PSO for smart cities. [PDF]

Sci Rep
Sahu D, Sinha P, Prakash S, Yang T, Rathore RS, Wang L.   +5 more
europepmc   +1 more source

Optimizing LID Practices in the Genoa Urban Drainage System Based on the Community's Call for Action Through Participatory Mapping

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT This paper presents a novel methodology for optimizing installation of low impact development practices (LIDs) in an urban hydrological catchment. This methodology helps stakeholders in deciding on what kind and area of LID must be installed in each sub‐catchment to attenuate pluvial flooding as a result of intense rain events.
Enrico Creaco, Ilaria Gnecco, Carlo Giudicianni, Stefano Boilini, Shaahin Nazarpour Tameh, Anna Palla   +5 more
wiley   +1 more source

Development and clinical deployment of an automated planning tool for prostate only and male whole pelvis plans based on multi‐criteria optimization

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Background Multi‐criteria optimization (MCO) is an advanced optimization technique that can be applied to any problem with multiple objectives that may be conflicting. MCO has been available in commercial treatment planning systems (TPS) for several years now and has been applied to treatment planning of many anatomical locations in a variety ...
Kai Huang, Kai Wang, Adam Schrum, Eric Kusmaul, Erica Fisler, Mariana Guerrero   +5 more
wiley   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, Volume 13, Issue 26, 8 May 2026.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source

One Crisis to Solve Another? The Place of Care in a World of Automated Work

Journal of Social Philosophy, EarlyView.
Anca Gheaus
wiley   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies

Engineering Reports, Volume 8, Issue 5, May 2026.
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh, Deepak Chandra Uprety, Mohd Haroon, Dyuti Banerjee, Preety Shoran, Yash Varshney, Anurag Sinha, Samarth Sinha, Shantanu Kumar Mishra   +8 more
wiley   +1 more source