Results 151 to 160 of about 67,449 (274)

Grid-connected photovoltaic module and array sizing based on an iterative approach

open access: yes, 2014
This paper deals with the sizing of a simple but efficient grid-connected photovoltaic (GCPV) system to minimize the difference between the electrical energy generated by the GCPV system and the required energy.
Rotaru, M.   +2 more
core  

Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?

open access: yesAgribusiness, EarlyView.
ABSTRACT This study examines the relationship between GVC participation and agricultural value‐added growth in 43 countries over the period 1995–2022. In contrast to prior literature, we disaggregate the agricultural sector into four sub‐sectors namely crop cultivation, animal production, forestry and fishing.
Taner Turan   +2 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Self-supervised representation learning reveals explainable physiological structure in high-dimensional magnetocardiography. [PDF]

open access: yesNPJ Digit Med
Kranz DD   +7 more
europepmc   +1 more source

Array Processing in the Face of Nonidealities

open access: yes, 2014
Real-world sensor arrays are typically composed of elements with individual directional beampatterns and are subject to mutual coupling, cross-polarization effects as well as mounting platform reflections. Errors in the array elements’ positions are also
Koivunen, Visa   +2 more
core  

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Performance comparison of interconnection schemes for mitigating partial shading losses in solar photovoltaic arrays. [PDF]

open access: yesSci Rep
Pareek S   +8 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong   +5 more
wiley   +1 more source

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