Advances in decomposing complex metabolite mixtures using substructure-and network-based computational metabolomics approaches
Covering: up to the end of 2020 Recently introduced computational metabolome mining
tools have started to positively impact the chemical and biological interpretation of …
tools have started to positively impact the chemical and biological interpretation of …
A comprehensive review of community detection in graphs
The study of complex networks has significantly advanced our understanding of community
structures which serves as a crucial feature of real-world graphs. Detecting communities in …
structures which serves as a crucial feature of real-world graphs. Detecting communities in …
An improved adaptive unscented kalman filtering for state of charge online estimation of lithium-ion battery
Precise state of charge (SOC) estimation is crucial to assure safe and reliable operation of
lithium-ion battery in electric vehicles. Adaptive unscented Kalman filter (AUKF) has been …
lithium-ion battery in electric vehicles. Adaptive unscented Kalman filter (AUKF) has been …
Spectral-clustering approach to Lagrangian vortex detection
One of the ubiquitous features of real-life turbulent flows is the existence and persistence of
coherent vortices. Here we show that such coherent vortices can be extracted as clusters of …
coherent vortices. Here we show that such coherent vortices can be extracted as clusters of …
Latent factor models for credit scoring in P2P systems
Abstract Peer-to-Peer (P2P) FinTech platforms allow cost reduction and service
improvement in credit lending. However, these improvements may come at the price of a …
improvement in credit lending. However, these improvements may come at the price of a …
Capturing citizen voice online: Enabling smart participatory local government
T Alizadeh, S Sarkar, S Burgoyne - Cities, 2019 - Elsevier
Social media and online communication have changed the way citizens engage in all
aspects of lives from shopping and education, to how communities are planned and …
aspects of lives from shopping and education, to how communities are planned and …
Tensor factorization for multi-relational learning
Tensor factorization has emerged as a promising approach for solving relational learning
tasks. Here we review recent results on a particular tensor factorization approach, ie Rescal …
tasks. Here we review recent results on a particular tensor factorization approach, ie Rescal …
A survey on hypergraph mining: Patterns, tools, and generators
Hypergraphs are a natural and powerful choice for modeling group interactions in the real
world, which are often referred to as higher-order networks. For example, when modeling …
world, which are often referred to as higher-order networks. For example, when modeling …
Data based complex network modeling and analysis of shield tunneling performance in metro construction
C Zhou, LY Ding, MJ Skibniewski, H Luo… - Advanced Engineering …, 2018 - Elsevier
Shield tunneling performance depends mainly on changes in geological conditions and
machine working status. Understanding its characteristics is the key to operating and …
machine working status. Understanding its characteristics is the key to operating and …
Community detection algorithm based on nonnegative matrix factorization and pairwise constraints
H Lu, X Sang, Q Zhao, J Lu - Physica A: Statistical Mechanics and its …, 2020 - Elsevier
Community detection is a critical issue in the field of complex networks. Nonnegative matrix
factorization (NMF) has been one of the hot research topics in community detection. In the …
factorization (NMF) has been one of the hot research topics in community detection. In the …