Despite advancements in the application of deep learning algorithms for predicting the Remaining Useful Life (RUL) of lithium batteries, several significant challenges persist. The handling of data with long-ter
In addition, researchers have been advocating use of machine learning techniques for energy optimization as well. Several machine learning based technique have been proposed to optimize power dissipation in embedded systems such as regression based learning [6] & reinforcement learning [7]. Similar to...
Hassan, K., Thakur, A.K., Singh, G.Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review.Arch Computat Methods Eng Download citation
This trend has required the consideration of additional metrics that, together with peak performance, illustrate in a more realistic manner the practical quality of computing facilities [1]. Among others, energy efficiency (considered as the actual ratio between performance and consumed energy) or ...
An emulation of single axis controllers is shown to be an effective control method. Encoder positional information is the basis of this low-leve control structure, which will later be tailored for use with processors devoted to each axis. High level control issues, such as adaptive learning ...
processing resources, for example, Digital Signal Processor (DSP) cores for signal/image processing [7], Graphics Processing Units (GPUs) for graphics processing and AI acceleration in deep learning [8,9], and Coarse-Grained Reconfigurable Arrays (CGRA) for the acceleration of (nested-)loops [...
The proposed method was applied to the filter design with an average test error of only 1.37%. 2.2. Deep Neural Network As the SI design problem of microsystems becomes more complex, the learning power of NNs can be improved by increasing the number of hidden layers in order to more ...
9. A Study of the Effect of RRAM Reliability Soft Errors on the Performance of RRAM-Based Neuromorphic Systems[J].Amr M. S. Tosson;Shimeng Yu;Mohab H. Anis;Lan Wei,IEEE transactions on very large scale integration (VLSI) systems.2017,第11期 10. A VLSI array of low-power spiking...
In this study, the Arneodo chaotic system was designed as an incommensurate fractional-order system, and the equilibrium points, time series, and phase portraits of the system were obtained, while the Lyapunov exponents were calculated. The incommensurate fractional-order system was modeled and simulat...
[48] presented a novel approach for state of health (SoH) estimation in Lithium-ion batteries (LiBs) utilizing deep features extracted from signals captured by different sensors using denoising auto-encoders (DAEs). Antoni et al. [49] introduced a method for developing optimal health indicators...