Image generation using deep learning generative models has witnessed significant strides in various domains, particularly in scene and object generation. However, the complexities escalate when applied to facial image...
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ISBN:
(数字)9798350386592
ISBN:
(纸本)9798350386608
Image generation using deep learning generative models has witnessed significant strides in various domains, particularly in scene and object generation. However, the complexities escalate when applied to facial image generation, especially in healthcare scenarios where detailed and realistic depictions are crucial. This paper introduces a pioneering approach to generating lifelike faces with specific attributes, including age, hair color, and gender, leveraging the manipulable latent space of a Generative Adversarial Network (GAN). The proposed system not only holds promise for applications such as criminal identification and film production but also showcases practical implications in the healthcare domain. By offering a user-friendly interface for attribute input and face display, the system facilitates healthcare professionals in generating diverse patient avatars for medical training simulations. The implementation utilizes Python, PyTorch, and the CelebA dataset, with the training process conducted on Google Colab for computational efficiency. This work represents a novel intersection of advanced deep learning, human-computer interaction, and real-world healthcare applications, providing a holistic exploration of attribute-driven face synthesis in the medical field.
Static program analysis is a popular software technique performed by automated tools for verifying large scale software systems. It works without executing the program, just analyzing the source code and applying vari...
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In C/C++, test code often inuences the source code of the unit we want to test. During the test development process we often have to introduce new interfaces to replace existing dependencies, e.g. a supplementary sett...
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Concurrent programming with classical mutex/lock techniques does not scale well when reads are way more frequent than writes. In such situations the read-copy-update (RCU) locking pattern guarantees minimal overhead f...
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Resolving symbol references is an important part of many application areas from development environments to various static analyser tools, especially when it is used for code comprehension purposes. Different occurren...
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Concurrent programming with classical mutex/lock techniques does not scale well when reads are way more frequent than writes. Such situation happens in operating system kernels among other performance critical multith...
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Symbol reference has an important role in various areas of software technology. Some modern object-oriented languages use it for implementing function and operator overloading, linkers use it for connecting objects be...
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The mathematical models of diagrams of using cases of computer systems and information technologies (for Microsoft Visual *** platform) are built in the forms of Glushkov's algorithmic algebra systems, Zeitlin-Pog...
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The mathematical models of diagrams of using cases of computer systems and information technologies (for Microsoft Visual *** platform) are built in the forms of Glushkov's algorithmic algebra systems, Zeitlin-Pogorilyi's modified algorithmic algebra systems, modified algorithmic algebras and primitive program algebras (PPA), which is an example of programing algebra class of composite type. Property of monotonicity and continuity is established for the branching operation of PPA as the corollary of the representation of branching operation in terms of set-theoretic constructions of function restriction over set using the properties of monotonicity and distributivity of function restriction and whole image of set with respect to binary relation.
The paper is considered to the problems of development of analytical information resource management systems. The authors present a service-oriented architecture solution that provides data collection and aggregation ...
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Comments are essential components of programming languages: they preserve the developer's intentions, help the maintainers to understand hidden concepts, and may act as a source of automatic documentation generati...
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ISBN:
(纸本)9781450312400
Comments are essential components of programming languages: they preserve the developer's intentions, help the maintainers to understand hidden concepts, and may act as a source of automatic documentation generation. However most of the software maintenance tools (refactorers, slicing and analyser tools) ignore them therefore they lose an important part of information about the software. One of the reasons why tools neglect comments is that there is no single well-defined location in the software's AST where to place them. The relationship between the program's control structure and the comments depend on code conventions and human habits. Our research - part of a project to develop a software maintenance tool - focuses on the code comprehension process of large legacy C++ projects and heavily utilize code comments. We evaluated the commenting behaviour used in large projects and categorized the major patterns. We found that these patterns are strongly correlating in a single project. In the paper we present a method to find the correct place of the comments in the AST-based on project-specific rules. We evaluate our method and test it against open source C++ projects. Copyright 2012 ACM.
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