Results 141 to 150 of about 836 (298)
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Super edge-antimagic graceful labeling of graphs
G. Marimuthu, P. Krishnaveni
openalex +2 more sources
Graceful labeling construction for some special tree graph using adjacency matrix [PDF]
Nikson Simarmata +2 more
openalex +1 more source
How can children and young people have a voice in urban treescapes?
Abstract Scientific understanding of climate change has, to date, failed to result in sufficient action. This paper proposes that a deficit model of top‐down learning and dissemination in relation to public engagement with science may be part of the problem, particularly when considering the attitudes, values and empowerment of children and young ...
Simon Carr +10 more
wiley +1 more source
A chromosome-scale assembly of the early-flowering Prunus campanulata and comparative genomics of cherries. [PDF]
Hu Y, Feng C, Wu B, Kang M.
europepmc +1 more source
NETWORK SECURITY UTILIZING TOTAL PRIME GRACEFUL LABELING [PDF]
V. Kowsalya, M. Keerthika
openalex +1 more source
Edge even graceful labeling of some graphs [PDF]
Mohamed R. Zeen El Deen
openalex +1 more source
Animating blossom: Time‐lapse to encourage plant awareness in the YouTube era
Time‐lapse videos can effectively capture key traits of flower blossoms, such as color, 3D structure, and temporal changes, making them valuable complements to herbarium specimens and other botanical collections. Despite the abundance of such videos on YouTube, most provide no ecological and botanical insights.
Tae Kyung Yoon
wiley +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source

