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Learning Behavior Interest Propagation Strategy of MOOCs Based on Multi Entity Knowledge Graph
MOOCs might be an important organization way to realize the online learning process. Online technology and sharing technology enable MOOCs to realize...
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Population affinity propagation approach for points of dispensing location allocation
AbstractPublic health emergencies such as disease outbreaks necessitate a rapid response to contain the outbreak and limit the spread of infections....
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Multi-Round Influence Maximization: A Variable Neighborhood Search Approach
The study of Social Network Influence has attracted the interest of scientists. The wide variety of real-world applications of this area, such as...
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Joint Memory Propagation and Rectification for Video Object Segmentation
Spatio-temporal memory matching-based methods have achieved significant breakthroughs in the task of video object segmentation. Nevertheless, they...
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Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection
Although the Internet and social media provide people with a range of opportunities and benefits in a variety of ways, the proliferation of fake news...
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When is Slower Block Propagation More Profitable for Large Miners?
For years, Bitcoin miners put little effort into adopting several widely-acclaimed block acceleration techniques, which, as some argued, would secure...
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Influence maximization in social networks using discrete BAT-modified (DBATM) optimization algorithm: a computationally intelligent viral marketing approach
Viral marketing relies on a set of users who have characteristics to rapidly increase the propagation of information. In viral marketing, information...
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A microservice regression testing selection approach based on belief propagation
Regression testing is required to assure the quality of each iteration of microservice systems. Test case selection is one of main techniques to...
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Auto-metric distribution propagation graph neural network with a meta-learning strategy for diagnosis of otosclerosis
Otosclerosis is a multifactorial bone disorder that affects the otic capsule; otosclerosis is a significant cause of deafness in adults. Since the...
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MLPR: Efficient influence maximization in linear threshold propagation model using linear programming
Influence maximization is an important research topic in social networks that has different applications such as analyzing spread of rumors,...
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Forecasting Model for the Number of Breeding Sows Based on Pig’s Months of Age Transfer and Improved Flower Pollination Algorithm-Back Propagation Neural Network
Regulating the number of breeding sows (NBS) is crucial for pork supply–demand balance. Current forecasting methods for NBS fail to consider the...
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FastCELF++: A Novel and Fast Heuristic for Influence Maximization in Complex Networks
Social networks reflect the relationships and interactions between individuals and have played a significant role in the spread of information, in...
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Activity propagation in systems of linear inequalities and its relation to block-coordinate descent in linear programs
We study a constraint propagation algorithm to detect infeasibility of a system of linear inequalities over continuous variables, which we call...
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Community Detection Using Label Propagation Algorithm with Random Walk Approach
Community detection is widely used research topic. Community detection refers to detect same type of community structure in given graph or network....
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Human Presence Probability Map (HPP): A Probability Propagation Based on Human Flow Grid
Personal assistance, delivery services, and crowd navigation through robots fleet are complex activities that involve human-robot interaction and...
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Influence maximization based on SATS scheme in social networks
Key user identification for messages propagation constitutes one of the most important topics in social networks. The success of the information...
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Profit Maximization for Competitive Influence Spread in Social Networks
Influence maximization is a classic problem in social networks and has been extensively studied in recent years. Viral marketing is an important...
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DABP: A Domain Augmentation and Bidirectional Stack-Propagation Model for Task-Oriented NLU
Natural language understanding (NLU) is the key part of task-oriented dialogue systems. Nowadays, most existing task-oriented NLU models use...
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Joint Priors-Based Restoration Method for Degraded Images Under Medium Propagation
The deep learning-based methods have shown promising performance in restoring degraded images such as underwater and haze images. However, the...
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Scattering Source Determination Using Deep Learning for 2-D Scalar Wave Propagation
Simulations focusing on wave propagation and inverse problems involving the estimation of a scattering source have been conducted for a long time. As...