Results 201 to 210 of about 343,225 (391)
Effect of Soil Fumigation and Pruning Date on the Indoleacetic Acid Content of Peach Trees in a Short Life Site1 [PDF]
, 1976 George E. Carter
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A zoogeographic model for the evolution of diversity and endemism in Madagascar
Ecography, EarlyView.The delineation of zoogeographic regions is essential for understanding the evolution of biodiversity. Madagascar, characterized by high levels of endemism and habitat diversity, presents unique challenges and opportunities for such studies. Traditional global zoogeographic classifications, largely based on vertebrates, may overlook finer‐scale ...
Gabriela P. Camacho +3 more
wiley +1 more source
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer [PDF]
arXivTraditional channel-wise pruning methods by reducing network channels struggle to effectively prune efficient CNN models with depth-wise convolutional layers and certain efficient modules, such as popular inverted residual blocks. Prior depth pruning methods by reducing network depths are not suitable for pruning some efficient models due to the ...
arxiv
A Winter Pruning Operation in White and Red Pine [PDF]
, 1977 William G. Murray
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The effects of climate on bat morphology across space and time
Ecography, EarlyView.According to Bergmann's and Allen's rules, climate change may drive morphological shifts in species, affecting body size and appendage length. These rules predict that species in colder climates tend to be larger and have shorter appendages to improve thermoregulation. Bats are thought to be sensitive to climate and are therefore expected to respond to
Laura Paltrinieri +54 more
wiley +1 more source
Responses of Vigorous ‘Delicious’ Apple Trees to Pruning and Growth Regulator Treatments1 [PDF]
, 1976 D.C. Elfving, C. G. Forshey
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Ecography, EarlyView.The processes driving defense trait correlations may vary within and between species based on ecological or environmental contexts. However, most studies of plant defense theory fail to address this potential for shifts in trait correlations across scales.
Carolyn D. K. Graham, Marjorie G. Weber
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A General Approach to Dropout in Quantum Neural Networks
Advanced Quantum Technologies, EarlyView., 2023 Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala +3 more
wiley +1 more source