[PDF][PDF] Pseudo zernike moment and deep stacked sparse autoencoder for COVID-19 diagnosis

YD Zhang, MA Khan, Z Zhu, SH Wang - Comput Mater Contin, 2021 - academia.edu
(Aim) COVID-19 is an ongoing infectious disease. It has caused more than 107.45 m
confirmed cases and 2.35 m deaths till 11/Feb/2021. Traditional computer vision methods …

[HTML][HTML] Solving flow-shop scheduling problem with a reinforcement learning algorithm that generalizes the value function with neural network

J Ren, C Ye, F Yang - Alexandria engineering journal, 2021 - Elsevier
This paper solves the flow-shop scheduling problem (FSP) through the reinforcement
learning (RL), which approximates the value function with neural network (NN). Under the …

A talent cultivation model for improving the innovation ability of college students in scientific research

Y Qi, J Wang - International Journal of Emerging Technologies in …, 2020 - learntechlib.org
The innovation ability of college students in scientific research is constrained by multiple
factors. What is worse, the current talent training model in colleges faces many defects. To …

Automatic synthesis technology of music teaching melodies based on recurrent neural network

Y Zhang, Z Li - Scientific Programming, 2021 - Wiley Online Library
Computer music creation boasts broad application prospects. It generally relies on artificial
intelligence (AI) and machine learning (ML) to generate the music score that matches the …

[HTML][HTML] Stepped generalized predictive control of test tank temperature based on backpropagation neural network

Q Zhao, Q Liu, N Cao, F Guan, S Wang… - Alexandria Engineering …, 2021 - Elsevier
It is significant to ensure the temperature stability of the test tank, which has a direct impact
on reducing production energy consumption, improving tank quality and ensuring …

GPR data reconstruction using residual feature distillation block U-Net

Q Dai, Y He, Y Lei, J Lei, X Wang… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Due to the unevenness of ground surface, mismatch between trig interval and sampling
speed, or other electromagnetic interferences, traces missing is a quite typical occurrence …

[HTML][HTML] Recognition of brain tumors in MRI images using texture analysis

BG Elshaikh, MEM Garelnabi, H Omer… - Saudi Journal of …, 2021 - Elsevier
Objectives Brain neoplasms or intracranial tumors, which are more common in older adults,
can affect individuals of any age including pediatric and children. Exposure to carcinogenic …

Phishing Website Detection Using Machine Learning Classifiers Optimized by Feature Selection.

D Mehanović, J Kevrić - Traitement du Signal, 2020 - search.ebscohost.com
Security is one of the most actual topics in the online world. Lists of security threats are
constantly updated. One of those threats are phishing websites. In this work, we address the …

Comprehensive evaluation of music course teaching level based on improved multi-attribute fuzzy evaluation model

L Yang - International Journal of Emerging Technologies in …, 2020 - learntechlib.org
Aiming at the problems of multi-attribute fuzzy information and imperfect evaluation system
existing in the current evaluation process of music course teaching level, the paper studies …

Intelligent technology-based improvement of teaching ability of professional courses in art design

J Peng - International Journal of Emerging Technologies in …, 2020 - learntechlib.org
Despite the development of intelligent technology, there are many problems in the
improvement of teaching ability of professional courses in art design, namely, the impact …