Hierarchical estimation approach for RBF-AR models with regression weights based on the increasing data length

Y Zhou, X Zhang, F Ding - … on Circuits and Systems II: Express …, 2021 - ieeexplore.ieee.org
In the radial basis function-based state-dependent autoregressive (RBF-AR) models with
regression weights, the local linear models are included between the hidden layers and the …

A novel nonlinear optimization method for fitting a noisy Gaussian activation function

J Li, F Ding, T Hayat - … Journal of Adaptive Control and Signal …, 2022 - Wiley Online Library
It is significant to fit a Gaussian function with the observation data for artificial intelligence or
other engineering fields. Considering the influence of noises, this article proposes a …

Pearson correlation coefficient-based performance enhancement of broad learning system for stock price prediction

G Li, A Zhang, Q Zhang, D Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate prediction of a stock price is a challenging task due to the complexity, chaos, and
non-linearity nature of financial systems. In this brief, we proposed a multi-indicator feature …

Analog gaussian function circuit: Architectures, operating principles and applications

V Alimisis, M Gourdouparis, G Gennis, C Dimas… - Electronics, 2021 - mdpi.com
This review paper explores existing architectures, operating principles, performance metrics
and applications of analog Gaussian function circuits. Architectures based on the translinear …

Reconfigurable mixed-kernel heterojunction transistors for personalized support vector machine classification

X Yan, JH Qian, J Ma, A Zhang, SE Liu, MP Bland… - Nature …, 2023 - nature.com
Advances in algorithms and low-power computing hardware imply that machine learning is
of potential use in off-grid medical data classification and diagnosis applications such as …

3D printing of conductive polymer aerogel thermoelectric generator with tertiary doping

T Li, Y Huang, JXM Chen, YC Sun, O Aghababaei… - Nano Energy, 2023 - Elsevier
The rapid advancement of conductive polymer aerogel for thermoelectric application has
predominantly depended on the use of performance-enhancing additives for improvement in …

A low-power analog integrated implementation of the support vector machine algorithm with on-chip learning tested on a bearing fault application

V Alimisis, G Gennis, M Gourdouparis, C Dimas… - Sensors, 2023 - mdpi.com
A novel analog integrated implementation of a hardware-friendly support vector machine
algorithm that can be a part of a classification system is presented in this work. The utilized …

An ultra-low power adjustable current-mode analog integrated general purpose artificial neural network classifier

V Alimisis, A Papathanasiou, E Georgakilas… - … -International Journal of …, 2024 - Elsevier
This study introduces a methodology tailored to analog hardware architecture for
implementing an artificial neural network. The fundamental components of the architecture …

Monolithic design of self-adaptive CMOS converter and robust event-triggered consensus control for integration of multi-renewable energy sources with battery …

M Talaat, AR Mohamed, BE Sedhom, A Wahba… - Journal of Energy …, 2024 - Elsevier
Recently, integrating renewable energy sources (RESs) has been one of the most effective
ways to overcome the power shortage problems due to the cumulative load demand, which …

General methodology for the design of bell-shaped analog-hardware classifiers

V Alimisis, NP Eleftheriou, A Kamperi, G Gennis… - Electronics, 2023 - mdpi.com
This study introduces a general methodology for the design of analog integrated bell-
shaped classifiers. Each high-level architecture is composed of several Gaussian function …