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An overview of data-driven battery health estimation technology for battery management system
Battery degradation, caused by multiple coupled degradation mechanisms, severely affects
the safety and sustainability of a battery management system (BMS). The battery state of …
the safety and sustainability of a battery management system (BMS). The battery state of …
An overview of recommendation techniques and their applications in healthcare
With the increasing amount of information on the internet, recommendation system (RS) has
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
A novel approach to large-scale dynamically weighted directed network representation
A dynamically weighted directed network (DWDN) is frequently encountered in various big
data-related applications like a terminal interaction pattern analysis system (TIPAS) …
data-related applications like a terminal interaction pattern analysis system (TIPAS) …
HRST-LR: a hessian regularization spatio-temporal low rank algorithm for traffic data imputation
Intelligent Transportation Systems (ITSs) are vital for alleviating traffic congestion and
improving traffic efficiency. Due to the delay of network transmission and failure of detectors …
improving traffic efficiency. Due to the delay of network transmission and failure of detectors …
EDMF: Efficient deep matrix factorization with review feature learning for industrial recommender system
Recommendation accuracy is a fundamental problem in the quality of the recommendation
system. In this article, we propose an efficient deep matrix factorization (EDMF) with review …
system. In this article, we propose an efficient deep matrix factorization (EDMF) with review …
Fast and accurate non-negative latent factor analysis of high-dimensional and sparse matrices in recommender systems
A fast non-negative latent factor (FNLF) model for a high-dimensional and sparse (HiDS)
matrix adopts a Single Latent Factor-dependent, Non-negative, Multiplicative and …
matrix adopts a Single Latent Factor-dependent, Non-negative, Multiplicative and …
A generalized Nesterov's accelerated gradient-incorporated non-negative latent-factorization-of-tensors model for efficient representation to dynamic QoS data
Dynamic Quality-of-Service (QoS) data can be efficiently represented by a Non-negative
Latent-factorization-of-tensors model, which relies on a Non-negative and Multiplicative …
Latent-factorization-of-tensors model, which relies on a Non-negative and Multiplicative …
Efficient and high-quality recommendations via momentum-incorporated parallel stochastic gradient descent-based learning
A recommender system (RS) relying on latent factor analysis usually adopts stochastic
gradient descent (SGD) as its learning algorithm. However, owing to its serial mechanism …
gradient descent (SGD) as its learning algorithm. However, owing to its serial mechanism …
Proximal alternating-direction-method-of-multipliers-incorporated nonnegative latent factor analysis
High-dimensional and incomplete (HDI) data subject to the nonnegativity constraints are
commonly encountered in a big data-related application concerning the interactions among …
commonly encountered in a big data-related application concerning the interactions among …
A fast nonnegative autoencoder-based approach to latent feature analysis on high-dimensional and incomplete data
High-Dimensional and Incomplete (HDI) data are frequently encountered in various Big
Data-related applications. Despite its incompleteness, an HDI data repository contains rich …
Data-related applications. Despite its incompleteness, an HDI data repository contains rich …