A survey on approximate edge AI for energy efficient autonomous driving services
Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
Dynamic neural network structure: A review for its theories and applications
The dynamic neural network (DNN), in contrast to the static counterpart, offers numerous
advantages, such as improved accuracy, efficiency, and interpretability. These benefits stem …
advantages, such as improved accuracy, efficiency, and interpretability. These benefits stem …
Stacked one-class broad learning system for intrusion detection in industry 4.0
With the vigorous development of Industry 4.0, industrial Big Data has turned into the core
element of the Industrial Internet of Things. As one of the most fundamental and …
element of the Industrial Internet of Things. As one of the most fundamental and …
Adaboost-stacking based on incremental broad learning system
Due to the advantages of fast training speed and competitive performance, Broad Learning
System (BLS) has been widely used for classification tasks across various domains …
System (BLS) has been widely used for classification tasks across various domains …
An integrated BLS-Net optimized with dual PCA and improved PSO-CARS variable selection strategy to determine heavy metals in soil by XRF
S Lyu, F Li, W Yang, Q Zhang, Q Wang - Talanta, 2025 - Elsevier
Combining machine learning with X-ray fluorescence (XRF) spectroscopy is a promising
solution for quantitatively analyzing heavy metal elements in soil. However, the implied …
solution for quantitatively analyzing heavy metal elements in soil. However, the implied …
Dynamic Hybrid Models With Active Sampling and Adaptive Selection of Double-Domain Features for the Tuning of Microwave Cavity Filters
Microwave cavity filters are essential electromechanical coupling devices in communication
systems. Structural-parameter tuning by experienced operators improves the filter …
systems. Structural-parameter tuning by experienced operators improves the filter …
Kernel-based Class-specific Broad Learning System for software defect prediction
With the continuous expansion of the software industry, the problem of software defects is
receiving more and more attention. There has been a series of machine learning methods …
receiving more and more attention. There has been a series of machine learning methods …
An Integrated Stochastic Configuration Network Based on Fuzzy Transformation
F Teng, D Wang, W Zhou - 2023 9th International Conference …, 2023 - ieeexplore.ieee.org
In this paper, fuzzy transformation is considered to modify stochastic configuration network
for data regression. Firstly, the mathematical representation for stochastic configuration …
for data regression. Firstly, the mathematical representation for stochastic configuration …