Comparison of various machine learning models for accurate detection of fake news
K Poddar, KS Umadevi - 2019 Innovations in Power and …, 2019 - ieeexplore.ieee.org
Fake news consists of news that is not well researched or deliberate steps have been taken
to spread misinformation or hoaxes via different forms of news distribution networks. This …
to spread misinformation or hoaxes via different forms of news distribution networks. This …
Hardware implementation neural network controller on FPGA for stability ball on the platform
P Kravets, V Shymkovych - … in Computer Science for Engineering and …, 2020 - Springer
This study is about a development and investigation of the neural network controller of the
stabilization system of a moving object on a plane with its hardware implementation on the …
stabilization system of a moving object on a plane with its hardware implementation on the …
Applying recurrent neural network for passenger traffic forecasting
The article represents the analysis of neural networks that can be used to predict passenger
traffic between cities. Passenger data nonstationary timetable is considered. A class of …
traffic between cities. Passenger data nonstationary timetable is considered. A class of …
An Improved Particle Swarm Optimization Algorithm for Parameters Optimizing of Feedforward Neural Networks
X Zhang, T Yang, L Wang, Z He… - 2022 14th International …, 2022 - ieeexplore.ieee.org
Deep learning is an important branch of neural networks, which has high accuracy in
classification and regression problems, and has been widely used. However, its …
classification and regression problems, and has been widely used. However, its …
A Deep Learning-Based Framework for Accurate Facial Ethnicity Classification and Efficient Query Retrieval
G Amali, KSV Keerthana, JS Pahlajani - Handbook of Research on …, 2021 - igi-global.com
Facial images carry important demographic information such as ethnicity and gender.
Ethnicity is an essential part of human identity and serves as a useful identifier for numerous …
Ethnicity is an essential part of human identity and serves as a useful identifier for numerous …
Particle swarm intelligence based univariate parameter tuning of recursive least square algorithm for optimal heart sound signal filtering
MMA Dhas, S Chandrasekaran - Gazi University Journal of Science, 2019 - dergipark.org.tr
Heart Sound Signal (HSS) is considered as one of the important bio-signals. It carries vital
information about the heart functions. For bio-acoustic observations, the HSS is diagnosed …
information about the heart functions. For bio-acoustic observations, the HSS is diagnosed …
[PDF][PDF] A New Galactic Swarm Optimization Algorithm Enhanced with Grey Wolf Optimizer for Training Artificial Neural Networks
DGB Amali, M Mohsina, KS Umadevi - Turkish Journal of Computer …, 2021 - turcomat.org
A New Galactic Swarm Optimization Algorithm Enhanced with Grey Wolf Optimizer for Training
Artificial Neural Networks Page 1 Turkish Journal of Computer and Mathematics Education …
Artificial Neural Networks Page 1 Turkish Journal of Computer and Mathematics Education …
Applying Recurrent Neural Network for Passenger Traffic Forecasting
S Kukharyev - Advances in Computer Science for Engineering …, 2019 - books.google.com
The article represents the analysis of neural networks that can be used to predict passenger
traffic between cities. Passenger data nonstationary timetable is considered. A class of …
traffic between cities. Passenger data nonstationary timetable is considered. A class of …