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Graphical Models
In this chapter, we examine the problem of estimating the structure of the graphical modelgraphic model from observations. In the graphical model,...
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Survey of transformers and towards ensemble learning using transformers for natural language processing
The transformer model is a famous natural language processing model proposed by Google in 2017. Now, with the extensive development of deep learning,...
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Deep learning based concurrent excited gated recurrent unit for crop recommendation based on soil and climatic conditions
Agriculture plays a substantial part in aggregating the nation's economic growth. The production of crops had been greatly affected due to...
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Computational Complexity Reduction of HEVC by Early Termination of Transform Unit Partitioning Using Raster Scan Approach
High efficiency video coding (HEVC) is the newest video coding standard which has been developed by the Joint Collaborative Team on Video Coding...
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Perception of the Fuzzy Number Indeterminacy Change in Vector and Triangle Representations – Implications for Graphical User Interface Design
The purpose of the study is to learn about and analyze people’s preferences regarding two visual representations of the uncertainty of parameter...
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DSMCompare: domain-specific model differencing for graphical domain-specific languages
During the development of a software project, different developers collaborate on creating and changing models. These models evolve and need to be...
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A hybrid graphics/video rate control method based on graphical assets for cloud gaming
In Hybrid Cloud Gaming (HCG), as long as the graphical assets are available at the client side, rendering can be performed locally. However, if the...
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A systematic review on big data applications and scope for industrial processing and healthcare sectors
Nowadays, big data is an emerging area of computer science. Data are generated through different sources such as social media, e-commerce, blogs,...
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Research on Graphical Modeling and Simulation Method of Control System Based on Python
Compared with traditional control system modeling, directed graph, as one of the graphical model representation methods, can be introduced into the...
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MGU-GNN: Minimal Gated Unit based Graph Neural Network for Session-based Recommendation
AbstractSession-based recommender systems (SBRS) play a crucial role in predicting the next click of a user from anonymous session data on numerous...
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A hybrid model for lung cancer prediction using patch processing and deeplearning on CT images
Cancer is a common disease with an increasing mortality rate in recent years. Lung cancer is the most common cancer in men and women alike. It is...
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R-GCN: a residual-gated recurrent unit convolution network model for anomaly detection in blockchain transactions
The domain of deep learning has provided an exemplary paradigm for how Artificial Intelligence (AI) can be a disruptive technological paragon through...
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Real-time approximate and combined 2D convolvers for FPGA-based image processing
Convolution widely has been used as the main part of the improvement in digital image processing applications. In convolutional computations, a large...
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Boosting general-purpose stream processing with reconfigurable hardware
Reconfigurable devices such as field-programmable gate arrays (FPGAs) offer flexible solutions to workload acceleration with high energy efficiency....
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Integrated Contract-Based Unit and System Testing for Component-Based Systems
This paper presents a system testing framework for development of AADL-based systems using the HAMR model-driven development framework. A key theme...
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Graphical Data Recording
An old Far Eastern proverb advises that “a picture is worth a thousand words.” The truth of the proverb is fully realized in chemical analysis and...
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A graphical method of cumulative differences between two subpopulations
Comparing the differences in outcomes (that is, in “dependent variables”) between two subpopulations is often most informative when comparing...
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A blockchain-based framework for circular end-of-life vehicle processing
The transition of the automotive industry to a circular economy (CE) is related to the significant environmental and social impacts of its products,...
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Action unit intensity regression for facial MoCap aimed towards digital humans
Due to the increasing demand for virtual avatars, there has been a recent growth in the research and development of frameworks for realistic digital...
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Deep Learning and Graphical Models
This chapter includes a brief introduction to neural networks and deep learning. An analysis of the relations between neural networks and...