Towards long lifetime battery: AI-based manufacturing and management
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …
only contribute to decarbonization such as transportation electrification, smart grid, but also …
Deconv-transformer (DecT): A histopathological image classification model for breast cancer based on color deconvolution and transformer architecture
Histopathological image recognition of breast cancer is an onerous task. Although many
deep learning models have achieved good classification results on histopathological image …
deep learning models have achieved good classification results on histopathological image …
Neural dynamics for distributed collaborative control of manipulators with time delays
Time-delay phenomena extensively exist in practical systems, eg, multi-agent systems,
bringing negative impacts on their stabilities. This work analyzes a collaborative control …
bringing negative impacts on their stabilities. This work analyzes a collaborative control …
A novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis
In recent years, deep learning techniques have achieved significant progress in a variety of
tasks. However, existing techniques might not perform well in the presence of data scarcity …
tasks. However, existing techniques might not perform well in the presence of data scarcity …
Coevolutionary neural solution for nonconvex optimization with noise tolerance
L Jin, Z Su, D Fu, X Xiao - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
The existing solutions for nonconvex optimization problems show satisfactory performance
in noise-free scenarios. However, they are prone to yield inaccurate results in the presence …
in noise-free scenarios. However, they are prone to yield inaccurate results in the presence …
Efficient industrial robot calibration via a novel unscented Kalman filter-incorporated variable step-size Levenberg-Marquardt algorithm
Robots facilitate a critical category of equipment to implement intelligent production.
However, due to extensively inevitable factors like structural errors and gear tolerances, the …
However, due to extensively inevitable factors like structural errors and gear tolerances, the …
Distributed Proportional–Integral Fuzzy State Estimation Over Sensor Networks Under Energy-Constrained Denial-of-Service Attacks
This article deals with the distributed proportional–integral state estimation problem for
nonlinear systems over sensor networks (SNs), where a number of spatially distributed …
nonlinear systems over sensor networks (SNs), where a number of spatially distributed …
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis
A latent factor analysis (LFA) model can be efficiently built via the stochastic gradient
descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated …
descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated …
Spatio-Temporal Residual Graph Attention Network for Traffic Flow Forecasting
Q Zhang, C Li, F Su, Y Li - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Accurate spatiotemporal traffic flow forecasting is significant for the modern traffic
management and control. In order to capture the spatiotemporal characteristics of the traffic …
management and control. In order to capture the spatiotemporal characteristics of the traffic …
Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective
Intelligent manufacturing is facing significant challenges in adapting to the ever-changing
equipment, instrumentation, process and economics. Such a trend together with the …
equipment, instrumentation, process and economics. Such a trend together with the …