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EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks
Ejection fraction (EF) is a key indicator of cardiac function, allowing identification of patients prone to heart dysfunctions such as heart failure....
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An improved ant-based heuristic approach for solving the longest cycle problem in large-scale complex networks
The longest cycle problem (LCP) has a crucial significance in graph theory and has a wide range of applications in the real-world. Although some...
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Influence maximization in social networks based on discrete harris hawks optimization algorithm
Influence Maximization (IM) is an important topic in the field of social network analysis, and is widely used in viral marketing, recommendation...
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Influence maximization in mobile social networks based on RWP-CELF
Influence maximization (IM) problem for messages propagation is an important topic in mobile social networks. The success of the spreading process...
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Light-weight Spatio-Temporal Graphs for Segmentation and Ejection Fraction Prediction in Cardiac Ultrasound
Accurate and consistent predictions of echocardiography parameters are important for cardiovascular diagnosis and treatment. In particular,...
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Efficient influence spread estimation for influence maximization
Word-of-Mouth promotion is among the effective methods of marketing and is highly regarded by many commercial companies. This type of marketing is...
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A survey on meta-heuristic algorithms for the influence maximization problem in the social networks
The different communications of users in social networks play a key role in effect to each other. The effect is important when they can achieve their...
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Ejection Fraction estimation using deep semantic segmentation neural network
The Ejection Fraction value denotes how much blood is pumped out of the heart to different parts of the body. It is a routine clinical procedure in...
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An efficient discrete differential evolution algorithm based on community structure for influence maximization
As one of the main contents of influence analysis, influence maximization is selecting a group of influential nodes with specified size in a given...
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A novel discrete ICO algorithm for influence maximization in complex networks
It is axiomatic that influence maximization is one of the major issues of the Internet today. In this paper a novel specialized metaheuristic...
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Distributed convex optimization for nonlinear multi-agent systems disturbed by a second-order stationary process over a digraph
In this paper, we investigate the distributed convex optimization problem for a class of nonlinear multi-agent systems disturbed by random noise over...
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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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Identifying influential nodes for influence maximization problem in social networks using an improved discrete particle swarm optimization
Influence maximization problem is to select a set of influential nodes and maximize the influence spread of the seed set in the social networks....
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The Extent of LGE-Defined Fibrosis Predicts Ventricular Arrhythmia Severity: Insights from a Preclinical Model of Chronic Infarction
Abnormal propagation of cardiac electrical impulses in hearts with fibrosis developed post-infarction often lead to rapid ventricular tachycardia...
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Risk-Averse Influence Maximization
The top k-influencers problem, as a social influence maximization (SIM) problem, seeks out the best k actors, called the seed set, in a network with...
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Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization
Influence maximization refers to selecting a small number of influential nodes in a given network to maximize the influence affected by the subset....
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Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine
The systolic and diastolic heart failure (HF) subjects are typically categorized based on clinical indices only. The relationship between different...
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Efficient community-based influence maximization in large-scale social networks
The Influence Maximization problem (IMP) is a fundamental algorithmic challenge that involves selecting a set of k users, known as the seed set, from...
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IT Organizations in Particular
IT in particular, as the driver of the knowledge age in companies, plays a virtually predestined role in sha** an organization in times of high...
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Unicode
Unicode is a computing industry standard for encoding, representing, and handling text. It was introduced in 1991 and is nowadays practically the...