نتایج جستجو برای: semi deep wells

تعداد نتایج: 366495  

2018
Cyril Buttay Dominique Planson Bruno Allard Dominique Bergogne Pascal Bevilacqua Charles Joubert Mihai Lazar Christian Martin Hervé Morel Dominique Tournier Christophe Raynaud

High temperature power electronics has become possible with the recent availability of silicon carbide devices. This material, as other wide-bandgap semiconductors, can operate at temperatures above 500°C, whereas silicon is limited to 150-200°C. Applications such as transportation or a deep oil and gas wells drilling can benefit. A few converters operating above 200°C have been demonstrated, b...

S. D. Limaye

Hard rock aquifers for the purpose of this Paper mean the non-carbonate, fractured rock aquifers in the terrain covered by crystalline basement complex, metamorphic rocks and also by extensive effusive volcanic rocks like the basalts of western India (Deccan traps. Ground water development in hard rock aquifer areas has always played a secondary role compared to that in the areas having high-yi...

1999
Y. Chang S. Y. Chou J. Kramer T. W. Sigmon A. F. Marshall K. H. Weiner

Selective growth of Ge,Si, _ x on Si is demonstrated for the first time using a pulsed laser induced epitaxy technique, combined with either standard oxide or liftoff patterning processes. Two different dimensions of Ge,,12Si0.88/Si lateral wells are formed, 3.5 pm wide by 1700 A deep, and 6 pm wide by 1300 A deep. High-resolution transmission electron microscopy, combined with energy-dispersiv...

Journal: :Pattern Recognition 2021

• The global and local structure are jointly considered for deep graph learning networks. relationship of the structures mined by hierarchical progressive learning. different fusion dynamically encoded their interdependence. Graph (GL) can capture distribution (graph structure) data based on convolutional networks (GCN), quality directly influences GCN semi-supervised classification. Most exist...

2012
Denis Ferraretti Giacomo Gamberoni Evelina Lamma

The natural complexities of petroleum reservoir systems continue to provide a challenge to geoscientists. In petroleum geology, exploration and production wells are often analysed using image logs and the use of all the available borehole data to completely characterize the reservoir potentials and performance is an important task. The development of reliable interpretation methods is of prime ...

Journal: :journal of agricultural science and technology 2014
s. mohammadzadeh h. sadighi gh. pezeshki rad

the extensive use of traditional irrigation systems has led to overexploitation of groundwater and overuse of surface water in theurmia  lake catchment (ulc) area ofiran. the purpose of this study was to model the adoption process of drip irrigation system (dis) by apple orchardists (aos) using the five stages of roger’s model for innovation decision process (idp). survey method of applying que...

2012
Na Gao Kai Huang Jinchai Li Shuping Li Xu Yang Junyong Kang

We report the development of complete structural AlGaN-based deep-ultraviolet light-emitting diodes with an aluminum thin layer for increasing light extraction efficiency. A 217% enhancement in peak photoluminescence intensity at 294 nm is observed. Cathodoluminescence measurement demonstrates that the internal quantum efficiency of the deep-UV LEDs coated with Al layer is not enhanced. The emi...

2017
Xinyu Yan Lijun Zhang Wu-Jun Li

Recently, deep learning has been successfully applied to the problem of hashing, yielding remarkable performance compared to traditional methods with hand-crafted features. However, most of existing deep hashing methods are designed for the supervised scenario and require a large number of labeled data. In this paper, we propose a novel semi-supervised hashing method for image retrieval, named ...

Journal: :IEEE Transactions on Knowledge and Data Engineering 2022

Deep semi-supervised learning is a fast-growing field with range of practical applications. This paper provides comprehensive survey on both fundamentals and recent advances in deep methods from perspectives model design unsupervised loss functions. We first present taxonomy for that categorizes existing methods, including generative consistency regularization graph-based pseudo-labeling hybrid...

2018
Alireza Sedghi Jie Luo Alireza Mehrtash Steve Pieper Clare M. Tempany Tina Kapur Parvin Mousavi William M. Wells

Deep metrics have been shown effective as similarity measures in multi-modal image registration; however, the metrics are currently constructed from aligned image pairs in the training data. In this paper, we propose a strategy for learning such metrics from roughly aligned training data. Symmetrizing the data corrects bias in the metric that results from misalignment in the data (at the expens...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید