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Machine Learning Model of Digital Transformation Index for Mexican Households
Digital transformation refers to the change in all aspects of human society by the adoption of digital technologies. Different methodologies and...
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Vehicle Navigation with Hexagonal Hierarchical Spatial Index
Spatial index of geoinformation theory proposes a new possibility for development of navigation methods with global coverage and rich hierarchical...
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The Success of Business Transformation and Knowledge Management
This study is designed to identify key success factors of business transformation across different industries, create and validate scale, and...
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Age transformation based on deep learning: a survey
Age transformation aims to preserve personalized facial information while altering a given face to appear at a target age. This technique finds...
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Response index: quantitative evaluation index of translational equivariance
Translational equivariance, one of the properties of Convolutional neural networks(CNNs), directly reflects the coherence of the influence of input...
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Sturm-Liouville Transformation
This chapter revisits the topic of multidimensional transformations and applies it to initial-boundary-value problems. Some basic notions are first...
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A High-Performance Hybrid Index Framework Supporting Inserts for Static Learned Indexes
The learned index is a new index structure that uses a trained model to directly predict the position of a key and thus has high query performance....
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SAFe transformation in a large financial corporation
As agile software development is increasingly adopted in the software industry, the popularity of scaling frameworks supporting adoption in large...
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The Digital Transformation Framework
Organizations and consultants can talk about digital transformation and they can say that they are implementing it. But what they cannot accurately...
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Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry
The volume-corrected mitotic index (M/V-Index) has demonstrated prognostic value in invasive breast carcinomas. However, despite its prognostic...
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Government Digital Transformation in Indonesia
This study aims to analyze the current development of e-government in Indonesia, the obstacles in its implementation, and how digital government is...
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Channel-augmented joint transformation for transferable adversarial attacks
Deep neural networks (DNNs) are vulnerable to adversarial examples that fool the models with tiny perturbations. Although adversarial attacks have...
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Semi-automatic Labeling of Satellite Images Using Texture Features and Hough Circle Transformation
In order to extract valuable ground information from images, supervised classification is an extensively adopted technique. However, it has a...
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TS Fuzzy Model Transformation
The Chapter introduces the TS Fuzzy model transformation. In the related literature the term of the TP model transformation is used very frequently....
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Learning Geometric Transformation for Point Cloud Completion
Point cloud completion aims to estimate the missing shape from a partial point cloud. Existing encoder-decoder based generative models usually...
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Transformation of C Programming Language Memory Model into Object-Oriented Representation of EO Language
Abstract—The paper analyzes the possibilities of transforming C programming language constructs into objects of EO programming language. The key...
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Morphological Transformation for Infrared Small Object Detection
Infrared small target detection is a critical technique in an infrared system. In the past decade, many methods have concentrated on traditional...
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Enhancement of Brain Magnetic Resonance Images Using Cascade of Notch Filter and Linear Transformation Methods
AbstractIn this work, we have proposed a cascade of notch filters with linear transformation (LT) methods to enhance MRI brain images. The proposed...
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3D symmetry detection by a single image and geometric transformation
Three dimensional symmetry plane detection is a hot research topic in the field of computer vision. When detecting the symmetry plane, the integrity...
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Morlet wavelet transformation based deep similarity structured neural learning for image quality assessment
Quality assessment is a key problem to be resolved in image processing. Few research works have been designed to analyze the quality of images using...
