Results 171 to 180 of about 107,087 (251)
Multi‐scale flow analysis for scale‐aware urban canopy models
We found that scale‐aware models are necessary when numerical weather prediction models approach hectometric resolution, which is associated with a characteristic length‐scale of morphological heterogeneity. This morphology‐dependent length‐scale indicates that resolved and unresolved heterogeneity are equally important.
Jingzi Huang, Maarten van Reeuwijk
wiley +1 more source
In [3], the authors adapted the edge-graceful graph labeling definition into block designs. In this article, we adapt the line-graceful graph labeling definition into block designs and define a block design $(V,\mathcal{B})$ with $|V|=v$ as line-graceful
Erdemir, Dilara, Kolotoğlu, Emre
core
ADAPT: An Autonomous Forklift for Construction Site Operation
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer +12 more
wiley +1 more source
On the path to reference genomes for all biodiversity: laboratory protocols and lessons learned from processing over 2,000 species in the Sanger Tree of Life. [PDF]
Howard C +17 more
europepmc +1 more source
Robotics for Crop Pollination: Recent Advances and Future Direction
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota +3 more
wiley +1 more source
Child development, film evidence, and epidemiological sciences: Elwyn James Anthony and the 1957 Zurich International Congress of Psychiatry. [PDF]
Evans B.
europepmc +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
A real-time phenotyping framework using machine learning for plant stress severity rating in soybean. [PDF]
Naik HS +8 more
europepmc +1 more source

