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Web-Based Visualization and Analysis Framework for Graph Data 2nd

Web-Based Visualization and Analysis Framework for Graph Dat...

引用

2nd international Semantic Intelligence conference (ISIC)

作者： Senturk, Fatmana Bilici, Mehmet Ali Tanisman, Sezercan Aytac, Vecdi Pamukkale Univ Dept Comp Engn Denizli Turkiye Ege Univ Dept Comp Engn Izmir Turkiye

ISBN: (纸本)9789811971280;9789811971266;9789811971259

Graph theory has many applications in computer science. Graphs are involved in the mathematical modeling of problems belonging to very popular computer and data science, such as datamining, data clustering, computer network, image segmentation, etc. Graph theory is used in computer science to solve problems modeled as graphs. However, many applications do not have an interface that displays and edits graphs instantly. Moreover, these applications are not supported with a web interface. In this study, a web interface has been developed that support graph theory concepts, display more than one graph simultaneously, have a user-friendly interface, and include algorithms to analyze graphs. Also, we present a web service for these graph analyzing algorithms.

关键词： Graph theory

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Diffusion Model for Image Generation - A Survey 2

Diffusion Model for Image Generation - A Survey

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2nd international conference on Artificial Intelligence, Human-computer Interaction and Robotics, AIHCIR 2023

作者： Hu, Xinrong Jin, Yuxin Liang, Jinxing Liu, Junping Luo, Ruiqi Li, Min Peng, Tao School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China

ISBN: (纸本)9798350360363

Diffusion models are a class of generative model that excels in generating high-quality images, making them the state-of-the-art among other generative models. Their impressive image generation capabilities and diverse generation patterns have garnered significant attention. To facilitate the widespread utilization of diffusion models in various domains, this article provides a comprehensive overview of their applications in the field of image generation. Firstly, we introduce the foundational theory of diffusion models and the widely adopted general frameworks. Then, we categorize the applications of diffusion models in the field of image generation into the following areas: unconditional generation, conditional generation, text-to-image translation, image-to-image translation, image super-resolution, image editing, and image inpainting techniques. Furthermore, we thoroughly discuss the limitations of diffusion models in the context of image generation and provide insights into future research and development directions in this field. © 2023 IEEE.

关键词： Diffusion

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applications of Artificial Intelligence in Structural Engineering 2

Applications of Artificial Intelligence in Structural Engine...

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2nd international conference on Multidisciplinary Engineering and Applied Science, ICMEAS 2023

作者： Olatunji, Temitope Thomas, Sadiq Obadiah, Nyangwarimam Ali Oyeleke, Oluseun Odimba, Chinomso Lawal, Shariff Nile University of Nigeria Computer Engineering Abuja Nigeria Nile University of Nigeria Industrial Chemistry Abuja Nigeria Airforce Institute of Technology Mechanical Engineering Kaduna Nigeria

ISBN: (纸本)9798350358834

AI has the potential to revolutionize the way we design, build, and maintain our built environment. The paper provides an overview of various AI branches, including deep learning, neural networks, swarm optimization, fuzzy logic, machine learning, pattern recognition, probability theory, and metaheuristic optimization. It highlights the applications of AI in structural engineering, such as structural health monitoring, modular construction decision making, and vibration control. The paper also examines the limitations, challenges, and opportunities associated with the adoption of AI in the industry. The paper concludes that AI has enormous potential to enhance the efficiency, safety, and sustainability of structural engineering, and that further research and collaboration between academia and industry are necessary to fully realize the benefits of this technology. © 2023 IEEE.

关键词： Fuzzy logic

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Research on Geostress Inversion Method of computer Big Data Technology in Support Vector Regression Algorithm 2

Research on Geostress Inversion Method of Computer Big Data ...

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2nd IEEE international conference on Power, Electronics and computer applications, ICPECA 2022

作者： Qianshun, Li Shandong University of Science and Technology College of Energy and Mining Engineering Qingdao266590 China

ISBN: (纸本)9781665442763

The in-situ stress field is the basic data for the excavation and support design of deep my roadways. The article uses support vector machine (SVM) theory based on statistical learning theory to establish a calculation model. At the same time, the data of the horizontal maximum ground stress and pore pressure field measured at the well site were used to perform a fitting and the influence of the kernel function in the fitting calculation was compared and analyzed. Based on the principle of support vector machine, the mechanical parameters and initial stress field of the calculation area are inverted. The calculated results are basically consistent with the measured in-situ stress values and meet the accuracy requirements. This shows that the inversion result is consistent with the actual project, and the inversion method used is reasonable. © 2022 IEEE.

关键词： Support vector machines

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Enhancing Backlight and Spotlight Images by the Retinex-Inspired Bilateral Filter SuPeR-B 16th

Enhancing Backlight and Spotlight Images by the Retinex-Insp...

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16th international Joint conference on computer Vision, Imaging and computer graphics theory and applications (VISIGRAPP) / 16th international conference on computer Vision theory and applications (VISAPP)

作者： Lecca, Michela Fdn Bruno Kessler Digital Ind Ctr I-38123 Trento Italy

ISBN: (纸本)9783031254765;9783031254772

Backlight and spotlight images are pictures where the light sources generate very bright and very dark regions. The enhancement of such images has been poorly investigated and is particularly hard because it has to brighten the dark regions without over-enhance the bright ones. The solutions proposed till now generally perform multiple enhancements or segment the input image in dark and bright regions and enhance these latter with different functions. In both the cases, results are merged in a new image, that often must be smoothed to remove artifacts along the edges. This work describes SuPeR-B, a novel Retinex inspired image enhancer improving the quality of backligt and spotlight images without needing for multi-scale analysis, segmentation and smoothing. According to Retinex theory, SuPeR-B re-works the image channels separately and rescales the intensity of each pixel by a weighted average of intensities sampled from regular sub-windows. Since the rescaling factor depends both on spatial and intensity features, SuPeR-B acts like a bilateral filter. The experiments, carried out on public challenging data, demonstrate that SuPeR-B effectively improves the quality of backlight and spotlight images and also outperforms other state-of-the-art algorithms.

关键词： Image enhancement Retinex theory Bilateral filter

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Systems on Time Scales: theory and applications in Modeling 2nd

Systems on Time Scales: Theory and Applications in Modeli...

引用

2nd international conference on Mathematical Analysis and applications in Modeling, ICMAAM 2023

作者： Bartosiewicz, Zbigniew Faculty of Computer Science Bialystok University of Technology Bialystok Poland

ISBN: (纸本)9789819791934

Systems on time scales incorporate continuous- and discrete-time dynamical systems. They can serve as models of real systems from various areas. Positive systems on time scales are studied here in more detail. Such systems appear in biology, medicine and chemistry. The language of time scales allows for natural description of time discretization in continuous-time models. During such discretization some properties of the system may be lost, while other may be preserved. Invariance under discretization of positivity and uniform exponential stability is investigated, both for linear and nonlinear systems. One of the results says that if discretization preserves positivity of the system, then it also preserves uniform exponential stability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Continuous time systems

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Convolutional Neural Network Hardware Optimization Using Bayesian Method 2

Convolutional Neural Network Hardware Optimization Using Bay...

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2nd international conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024

作者： Pandey, Jyoti Asati, Abhijit R. Shenoy, Meetha V. Eee Department Rajasthan Pilani India

ISBN: (纸本)9798350328202

Convolutional Neural Network (CNN) models have demonstrated significant benefits in the realm of computer vision and applications related to image processing. Optimizing hyperparameters in CNN models is crucial to ensuring an effective implementation of the model, whether on software, hardware, or a 'software-hardware co-design' platform, thereby enhancing overall performance and results. This work proposes a CNN architecture and applies the Bayesian optimization algorithm to find the best set of hyperparameter values which reduces training and recognition time both. In addition, a new parameter i.e., 'Network optimization parameter' (NOP) is defined which considers optimization of hardware resources for a given accuracy of the trained model. This parameter needs to be minimized which helps evaluate the best set of hyperparameter values and is essential for further implementing the CNN model in the hardware platform. The optimization is performed on both the processors, a Central Processing Unit (CPU) and a Graphical Processing Unit (GPU), in optimizing the CNN model to clearly understand the impacts of utilizing different processing units. An accuracy of 99.48 % is achieved for the Modified National Institute of Standards and Technology (MNIST) database, and an accuracy of 88.78 % is achieved for the Canadian Institute For Advanced Research (CIFAR-10) database. The proposed models are highly optimized and have lesser resource requirements (due to the lesser layer complexities and smaller filter sizes) while delivering higher accuracies compared to the available literature. Further, the calculated NOP for the proposed network is highly reduced compared to the published literature. © 2024 IEEE.

关键词： graphics processing unit

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Research on Polarization theory Based on Target Polarization Projection 2

Research on Polarization Theory Based on Target Polarization...

引用

2nd IEEE international conference on Signal, Information and Data Processing, ICSIDP 2024

作者： He, Yaomin Yang, Jian Yang, Yimin Yin, Junjun Liu, Chao Academy of Military Sciences Institute of Systems Engineering Beijing China Tsinghua University Department of Electronic Engineering Beijing China University of Science and Technology School of Computer and Communication Engineering Beijing China

ISBN: (纸本)9798331515669

Aiming at the information processing in classical polarization theory, such as polarization decomposition, optimal polarization, polarization filtering, polarization detection, and polarization classification, et al, they are of great significance which supported a large number of polarization applications. Although the theory is relatively rich, there are also some deficiencies, i.e., overlapping theories and inconsistent concepts, which have inconvenient effects on the systematic research of polarization theory. In this regard, this paper proposes the concept and mathematical model of "target polarization projection", in order to form two polarization basic theories with target polarization decomposition. It can achieve a series of polarization information processing such as polarization filtering, polarization detection, and polarization classification, thus providing a clear polarization theory framework and laying a theoretical foundation for the application of polarimetric SAR. © 2024 IEEE.

关键词： Wiener filtering

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A Comprehensive Analysis for Facial Animation using Thin Plate Splines and First Order Model 2

A Comprehensive Analysis for Facial Animation using Thin Pla...

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2nd IEEE international conference on Networks, Multimedia and Information Technology, NMITCON 2024

作者： Nahe, Pranav Ujalambkar, Aditi Chikmurge, Diptee Barve, Sunita Mit Academy of Engineering School of Computer Engineering Pune Alandi India

ISBN: (纸本)9798350372892

Real-time image animation is at the cutting edge of computer graphics, bridging the gap between technology and artistic expression. It transforms static photos into dynamic, interactive animations that can be used in a variety of industries such as gaming, advertising, and entertainment. To produce captivating visual experiences, this sector employs a variety of techniques like as keyframe animation, motion capture, and real-time rendering engines. Prior research has looked at sophisticated approaches like Thin Plate Splines (TPS) and First Order Models (FOM) in isolation within this changing landscape. FOMs, which are based on deep learning principles, excel at capturing complicated motion dynamics, whereas TPS are praised for maintaining structural integrity. However, there has been little investigation into their combined potential inside a unified system for real-time visual animation. This study is the first to combine TPS and FOM into a single system for real-time visual animation. The combined approach exploits the accuracy of FOM in capturing complex motion dynamics while keeping the structural integrity provided by TPS. This integration aims to establish a cohesive framework that mixes technical precision with creative expression. This study assesses the performance and correctness of the integrated model through thorough experimentation and comparison analysis. The system commences a real-time process that balances the strengths of both approaches by using driver videos and input photos. The purpose of this paper is to show how this unified model can preserve structural purity while accurately expressing complicated motion dynamics, changing the field of real-time image animation. Overall, the first-order model is fast and efficient, making it ideal for real-time applications. TPS, on the other hand, provides more detailed insights about face expressions, but at a slower processing speed. © 2024 IEEE.

关键词： Animation

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A theory of Topological Derivatives for Inverse Rendering of Geometry

A Theory of Topological Derivatives for Inverse Rendering of...

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IEEE/CVF international conference on computer Vision (ICCV)

作者： Mehta, Ishit Chandraker, Manmohan Ramamoorthi, Ravi Univ Calif San Diego La Jolla CA 92093 USA

ISBN: (纸本)9798350307184

We introduce a theoretical framework for differentiable surface evolution that allows discrete topology changes through the use of topological derivatives for variational optimization of image functionals. While prior methods for inverse rendering of geometry rely on silhouette gradients for topology changes, such signals are sparse. In contrast, our theory derives topological derivatives that relate the introduction of vanishing holes and phases to changes in image intensity. As a result, we enable differentiable shape perturbations in the form of hole or phase nucleation. We validate the proposed theory with optimization of closed curves in 2D and surfaces in 3D to lend insights into limitations of current methods and enable improved applications such as image vectorization, vector-graphics generation from text prompts, single-image reconstruction of shape ambigrams and multiview 3D reconstruction.

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