[HTML][HTML] An integrated neural network and SEIR model to predict Covid-19
A novel coronavirus (COVID-19), which has become a great concern for the world, was
identified first in Wuhan city in China. The rapid spread throughout the world was …
identified first in Wuhan city in China. The rapid spread throughout the world was …
Exploring deep transfer learning ensemble for improved diagnosis and classification of alzheimer's disease
Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that affects
millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for …
millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for …
An integrated CNN-LSTM model for Bangla lexical sign language recognition
Abstract The development of Human-Computer Interaction (HCI) will not only empower the
disabled with access to technology but also help to build tools for assisting the disable and …
disabled with access to technology but also help to build tools for assisting the disable and …
A deep learning inspired belief rule-based expert system
Recent technological advancements in the area of the Internet of Things (IoT) and cloud
services, enable the generation of large amounts of raw data. However, the accurate …
services, enable the generation of large amounts of raw data. However, the accurate …
Dynamic time features expanding and extracting method for prediction model of sintering process quality index
Y Li, C Yang, Y Sun - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
In complex industrial processes, it is difficult to measure the key quality variables online. It
takes a long time to obtain quality variables through offline testing, which makes it difficult to …
takes a long time to obtain quality variables through offline testing, which makes it difficult to …
Forecasting of iron ore sintering quality index: A latent variable method with deep inner structure
Accurate and real-time estimation of iron ore sintering quality index is essential for the
stability of the production process. However, the sintering process data is generally …
stability of the production process. However, the sintering process data is generally …
An integrated real-time deep learning and belief rule base intelligent system to assess facial expression under uncertainty
Nowadays, the recognition of facial expression draws significant attention in various
domains. In view of this, a realtime facial expression recognition system has been …
domains. In view of this, a realtime facial expression recognition system has been …
An integrated CNN-RNN framework to assess road crack
Road crack detection and road damage assessment are necessary to support driving safety
in a route network. Several unexpected incidents (eg road accidents) take place all over the …
in a route network. Several unexpected incidents (eg road accidents) take place all over the …
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 …
Analyzing sentiment of movie reviews in bangla by applying machine learning techniques
RR Chowdhury, MS Hossain, S Hossain… - … on bangla speech …, 2019 - ieeexplore.ieee.org
This paper proposes a process of sentiment analysis of movie reviews written in Bangla
language. This process can automate the analysis of audience's reaction towards a specific …
language. This process can automate the analysis of audience's reaction towards a specific …