Results 201 to 210 of about 147,152 (326)
Parameterized complexity of graph planarity with restricted cyclic orders
Giuseppe Liotta +2 more
openalex +1 more source
ABSTRACT This study advances the literature on sustainable urban agriculture and alternative sustainable food production systems, which have gained momentum due to the need to strengthen regional food supply chains and meet the growing urban demand for fresh food. Indoor agriculture (IA) holds promise for year‐round cultivation of fresh produce even in
Joseph Seong +2 more
wiley +1 more source
GraphVAMPnet, a graph neural network–based deep learning framework, successfully overcomes the permutation challenge in analyzing molecular dynamics trajectories of self‐assembly of PtB complexes. It accurately identifies three slow collective variables and reveals two competing kinetic pathways—incremental and hopping growth—governing Pt(II ...
Zige Liu +3 more
wiley +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
From Data Completion to Problems on Hypercubes: A Parameterized Analysis of the Independent Set Problem. [PDF]
Eiben E +4 more
europepmc +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Plan Reordering and Parallel Execution — A Parameterized Complexity View
Meysam Aghighi, Christer Bäckström
openalex +2 more sources
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Exact and parameterized algorithms for choosability. [PDF]
Bliznets I, Nederlof J.
europepmc +1 more source

