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 …
Data driven vibration control: A review
With the ongoing advancements in sensor networks and data acquisition technologies
across various systems like manufacturing, aviation, and healthcare, the data driven …
across various systems like manufacturing, aviation, and healthcare, the data driven …
A novel approach to large-scale dynamically weighted directed network representation
A d ynamically w eighted d irected n etwork (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) …
NeuLFT: A novel approach to nonlinear canonical polyadic decomposition on high-dimensional incomplete tensors
AH igh-D imensional and I ncomplete (HDI) tensor is frequently encountered in a big data-
related application concerning the complex dynamic interactions among numerous entities …
related application concerning the complex dynamic interactions among numerous entities …
A PID-incorporated latent factorization of tensors approach to dynamically weighted directed network analysis
A large-scale dynamically weighted directed network (DWDN) involving numerous entities
and massive dynamic interaction is an essential data source in many big-data-related …
and massive dynamic interaction is an essential data source in many big-data-related …
Generalized nesterov's acceleration-incorporated, non-negative and adaptive latent factor analysis
A non-negative latent factor (NLF) model with a single latent factor-dependent, non-negative
and multiplicative update (SLF-NMU) algorithm is frequently adopted to extract useful …
and multiplicative update (SLF-NMU) algorithm is frequently adopted to extract useful …
Symmetry and graph bi-regularized non-negative matrix factorization for precise community detection
Community is a fundamental and highly desired pattern in a Large-scale Undirected
Network (LUN). Community detection is a vital issue when LUN representation learning is …
Network (LUN). Community detection is a vital issue when LUN representation learning is …
Cryptocurrency transaction network embedding from static and dynamic perspectives: An overview
Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests
from both industrial and academic communities. With its rapid development, the …
from both industrial and academic communities. With its rapid development, the …
Adjusting learning depth in nonnegative latent factorization of tensors for accurately modeling temporal patterns in dynamic QoS data
A nonnegative latent factorization of tensors (NLFT) model precisely represents the temporal
patterns hidden in multichannel data emerging from various applications. It often adopts a …
patterns hidden in multichannel data emerging from various applications. It often adopts a …
STGSA: A novel spatial-temporal graph synchronous aggregation model for traffic prediction
The success of intelligent transportation systems relies heavily on accurate traffic prediction,
in which how to model the underlying spatial-temporal information from traffic data has come …
in which how to model the underlying spatial-temporal information from traffic data has come …