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by
Xie, Junyuan, author.
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Transfer Learning with Deep Neural Networks for Computer Vision / Xie, Junyuan, author.
by
Chang, Kai Ming, author.
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Characterisation of droplet-compartmentalised chemical oscillator networks using computer vision /
by
Xie, Weidi, author.
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Deep neural networks in computer vision and biomedical image analysis / Xie, Weidi, author.
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Davis, John McDonald Cameron, author.
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Communication concepts and their implementation in computer networks / Davis, John McDonald Cameron
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Almada, Demetrius J., author.
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-Wave quantum computer. As a result, we found that temperature chaos must be caused by structures deeper than
by
Wang, Anshu, author.
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produced powerful tools for the task. Conditional adversarial networks serve as a general-purpose solution
by
Ahmad, Ayesha, author.
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convolutional neural networks (CNNs), which are very successful in extracting features from the data. However
by
Peng, Xi, author.
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learning and computer vision. Over the last decade, deep neural networks have achieved remarkable success
by
Cucek, Lidija, author.
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of sustainable bioprocesses using computer-aided process engineering. In the first part the synthesis
by
Wen, Haiguang, author.
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whether neuroscience theory can be applied to artificial models to advance computer vision. To address
by
Zagottis, Frank C., author.
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networks like ABC, NBC. CBS and even FOX. What is also gone is the ability to find the time to gather in
by
Yang, Anthony, author.
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Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) as classifiers. Results obtained
by
Wang, Haiyan, author.
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algorithms, various machine learning algorithms including deep neural networks, and optimal state estimator
by
Konakas, Spiridon, author.
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areas of computer graphics and computer networks are discussed. The six chapters of the thesis include
by
Driscoll, Megan Philipa, author.
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their interrogation of the technological, social, and/or political bases of computer networks. Covering
by
Ma, Christopher, author.
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regulation models of proteins in biology, communities of people within social network. Since complex networks
by
Mayers, Adrian Merton, author.
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nation-state or its proxies to acquire economic intelligence by using computer networks. Cyber economic
by
Kim, Jinseok, author.
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the statistical properties of coauthorship networks constructed from algorithmically disambiguated
by
Huling, Jared D., author.
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computationally expensive, and thus the field of computer experiments has focused on using statistical techniques
by
Keshavarzi, Parviz, author.
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computer networks. This thesis describes high performance techniques which speed up the modular
by
Wang, Chao, author. (orcid)0000-0003-4888-4565
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communication and computer networks, etc.
by
Xiao, Houping, author. (orcid)0000-0002-6981-8842
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computer networks.
by
Jadhav, Shrikant Shridhar, author.
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, e.g., computer vision [10], cellular networks [53] and deep neural network [26]. In our experiments
by
Cifuentes, Diego, author.
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chemical reaction networks, can be modeled by systems of polynomial equations, and in many cases the
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