Machine learning algorithms for FPGA Implementation in biomedical engineering applications: A review
Abstract Field Programmable Gate Arrays (FPGAs) are integrated circuits that can be
configured by the user after manufacturing, making them suitable for customized hardware …
configured by the user after manufacturing, making them suitable for customized hardware …
A dynamic intelligent control analysis on the wireless smart machine environments in the industry 4.0
FW Wibowo - 2018 International Seminar on Research of …, 2018 - ieeexplore.ieee.org
The concept of the industry 4.0 basically is the smart physical object environment. The
elements of the smart environment can make a decision with their-selves. The embedded …
elements of the smart environment can make a decision with their-selves. The embedded …
An analysis of FPGA hardware platform based artificial neural network
FW Wibowo - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
The artificial neural networks (ANN) algorithm is a mathematical model of a network by
applying neurons and usually, it is represented as a directed graph with vertexes and edges …
applying neurons and usually, it is represented as a directed graph with vertexes and edges …
Kmeans-Chimpanzee Leader Election Optimization Algorithms-Based Data Analysis in Clustering Model
The data analysis process includes data grouping techniques based on data transformation,
data cleaning, model building, and similar characteristics to understand important …
data cleaning, model building, and similar characteristics to understand important …
FPGA Acceleration of a hierarchical clustering and data fusion application for disease subtype discovery
AO Voicu-Spineanu - 2021 - essay.utwente.nl
Starting from an R implementation of the hierarchical clustering and data fusion algorithm,
the method is translated into C++ and further optimized via software techniques for a better …
the method is translated into C++ and further optimized via software techniques for a better …