Zobrazeno 1 - 10
of 937
pro vyhledávání: '"Zhang Junpeng"'
Publikováno v:
Guan'gai paishui xuebao, Vol 41, Iss 2, Pp 52-58 (2022)
【Objective】 Micro-spraying hose irrigation is easy to manage and has been increasingly used in arable crops. The purpose of this paper is to study experimentally the impact of its integration with nitrogen fertilization on lodging resistance of s
Externí odkaz:
https://doaj.org/article/e332429b578a4eecba3c175abb721502
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 6, Pp 8-14 (2021)
【Objective】 Along with drought, soil salinity is a main abiotic factor limiting crop growth worldwide. Improving cultivation to alleviate salinity stress is an alternative method to safeguard agricultural production in saline soils. The aim of th
Externí odkaz:
https://doaj.org/article/4560165ff4bc4ddfa89b54a8f25807cc
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 1, Pp 30-37 (2021)
【Objective】Rainfalls in the growth season of summer maize in most areas in northern China are insufficient to meet its demand, and supplementary irrigation is thus required. The purpose of this paper is to investigate the efficacy of different ho
Externí odkaz:
https://doaj.org/article/0c299217dd464d5a8217ac1ffb0688d6
Autor:
Feng, Jie, Zhang, Tianshu, Zhang, Junpeng, Shang, Ronghua, Dong, Weisheng, Shi, Guangming, Jiao, Licheng
Unsupervised domain adaptation techniques, extensively studied in hyperspectral image (HSI) classification, aim to use labeled source domain data and unlabeled target domain data to learn domain invariant features for cross-scene classification. Comp
Externí odkaz:
http://arxiv.org/abs/2408.15263
This study proves the two-phase dynamics of a deep neural network (DNN) learning interactions. Despite the long disappointing view of the faithfulness of post-hoc explanation of a DNN, a series of theorems have been proven in recent years to show tha
Externí odkaz:
http://arxiv.org/abs/2407.19198
This paper investigates the dynamics of a deep neural network (DNN) learning interactions. Previous studies have discovered and mathematically proven that given each input sample, a well-trained DNN usually only encodes a small number of interactions
Externí odkaz:
http://arxiv.org/abs/2405.10262
Mainstreamed weakly supervised road extractors rely on highly confident pseudo-labels propagated from scribbles, and their performance often degrades gradually as the image scenes tend various. We argue that such degradation is due to the poor model'
Externí odkaz:
http://arxiv.org/abs/2403.01381
Long non-coding RNAs (lncRNAs) are important regulators to modulate gene expression and cell proliferation in the developing human brain. Previous methods mainly use bulk lncRNA and mRNA expression data to study lncRNA regulation. However, to analyze
Externí odkaz:
http://arxiv.org/abs/2211.08084
Spatial-temporal Gaussian process regression is a popular method for spatial-temporal data modeling. Its state-of-art implementation is based on the state-space model realization of the spatial-temporal Gaussian process and its corresponding Kalman f
Externí odkaz:
http://arxiv.org/abs/2209.12565
Autor:
Xiao, Yicheng, Zhang, Junpeng
Deep convolutional neural network with increased number of parameters has achieved improved precision in task of object detection on natural images, where objects of interests are annotated with horizontal boundary boxes. On aerial images captured fr
Externí odkaz:
http://arxiv.org/abs/2206.09796