Machine learning approaches in traditional Chinese medicine: a systematic review
H Chen, Y He - The American journal of Chinese medicine, 2022 - World Scientific
Machine learning (ML), as a branch of artificial intelligence, acquires the potential and
meaningful rules from the mass of data via diverse algorithms. Owing to all research of …
meaningful rules from the mass of data via diverse algorithms. Owing to all research of …
[كتاب][B] Nanoelectronic mixed-signal system design
SP Mohanty - 2015 - academia.edu
Consumer electronics such as mobile phones, digital cameras, digital television, high-
definition content players, health monitoring systems, and DVD/MP3 players have profound …
definition content players, health monitoring systems, and DVD/MP3 players have profound …
Efficient performance modeling for automated CMOS analog circuit synthesis
Z Zhao, L Zhang - IEEE Transactions on Very Large Scale …, 2021 - ieeexplore.ieee.org
Fast and accurate performance estimation can significantly enhance the efficiency of
automated analog circuit synthesis. This article presents a novel performance modeling …
automated analog circuit synthesis. This article presents a novel performance modeling …
Non‐linear LS‐SVM with RBF‐kernel‐based approach for AGC of multi‐area energy systems
Support vector machine (SVM) is very efficacious in pattern recognition and function
estimation problems. However, its application to design efficient automatic generation …
estimation problems. However, its application to design efficient automatic generation …
Distributed design optimization of multi-component systems using meta models and topology optimization
Distributed optimization architectures decompose large monolithic optimization problems
into sets of smaller and more manageable optimization subproblems. To ensure consistency …
into sets of smaller and more manageable optimization subproblems. To ensure consistency …
Automatic generation control (AGC) of wind power system: an least squares-support vector machine (LS-SVM) radial basis function (RBF) kernel approach
The present paper discusses the structural, operational and control complexity of present
day modern power systems in the wake of addition of electrical energy from wind turbines …
day modern power systems in the wake of addition of electrical energy from wind turbines …
Reliability-aware support vector machine-based high-level surrogate model for analog circuits
Negative bias temperature instability (NBTI) has deleterious impact on threshold voltage and
drive current of PMOS transistor. In this paper, a support vector machine (SVM)-based …
drive current of PMOS transistor. In this paper, a support vector machine (SVM)-based …
[HTML][HTML] Application of GSM-SVM for forecasting construction output: a case study of Hubei Province
M Lei, Y He, D Wang, D He, Y Feng, L Cheng, Z Qin - Buildings, 2023 - mdpi.com
It is significant to achieve the scientific forecast and quantitative analysis of construction
output. In most existing construction economic forecasting methods, both time series models …
output. In most existing construction economic forecasting methods, both time series models …
Properties prediction and design of tire tread composites using machine learning
The present study focuses on exploring the relationship between various properties of tire
tread composites and filler system using machine learning. Four different types of machine …
tread composites and filler system using machine learning. Four different types of machine …
Machine learning in macroeconomic forecasting
S Nyholm - 2022 - jyx.jyu.fi
There has always been large amounts of data available of the economy but using all of this
to make predictions about the economy has been difficult. Traditional models used in …
to make predictions about the economy has been difficult. Traditional models used in …