Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Reason based machine learning approach to detect bangla abusive social media comments
For the study issue of abusive language detection, English is the most commonly employed
language. There are just a few works accessible in low-resource languages such as Bangla …
language. There are just a few works accessible in low-resource languages such as Bangla …
Belief rule-base expert system with multilayer tree structure for complex problems modeling
LH Yang, FF Ye, J Liu, YM Wang - Expert Systems with Applications, 2023 - Elsevier
Belief rule-base (BRB) expert system is one of recognized and fast-growing approaches in
the areas of complex problems modeling. However, the conventional BRB has to suffer from …
the areas of complex problems modeling. However, the conventional BRB has to suffer from …
[PDF][PDF] Explainable Text Classification Model for COVID-19 Fake News Detection.
Artificial intelligence has achieved notable advances across many applications, and the field
is recently concerned with develo** novel methods to explain machine learning models …
is recently concerned with develo** novel methods to explain machine learning models …
A fast belief rule base generation and reduction method for classification problems
The belief rule-based (BRB) system has been one of the most significant rule-based systems
for its ability to deal with various kinds of information under uncertainty, and it has shown …
for its ability to deal with various kinds of information under uncertainty, and it has shown …
A novel extended rule-based system based on K-Nearest Neighbor graph
YG Fu, XY Lin, GC Fang, J Li, HY Cai, XT Gong… - Information …, 2024 - Elsevier
Abstract The Belief Rule-Based (BRB) system faces the rule combination explosion issue,
making it challenging to construct the rule base efficiently. The Extended Belief Rule-Based …
making it challenging to construct the rule base efficiently. The Extended Belief Rule-Based …
Ensemble extended belief rule-based systems with different similarity measures for classification problems
The extended belief rule-based (EBRB) system is shown to have the potential to handle both
quantitative and qualitative information under uncertainty, and it has been used as an …
quantitative and qualitative information under uncertainty, and it has been used as an …
Belief-Rule-Based System with Self-organizing and Multi-temporal Modeling for Sensor-based Human Activity Recognition
Smart environment is an efficient and cost-effective way to afford intelligent supports for the
elderly people. Human activity recognition (HAR) is a crucial aspect of the research field of …
elderly people. Human activity recognition (HAR) is a crucial aspect of the research field of …
Lossy Compression Effect on Color and Texture Based Image Retrieval Performance
Image retrieval and compression are rigorous research field to solve the problem of storage
and management of digital image. Several digital compression techniques are available for …
and management of digital image. Several digital compression techniques are available for …
A novel fuzzy semi-supervised learning approach for the classification of colorectal cancer (fssl-crcc)
Colorectal Cancer (CRC) is a form of cancer that develops in the colon or rectum. It is also
referred as bowel cancer, colon cancer, or rectal cancer. CRC has become the second most …
referred as bowel cancer, colon cancer, or rectal cancer. CRC has become the second most …