[Retracted] COVID‐19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
SARS‐CoV‐2 is a novel virus, responsible for causing the COVID‐19 pandemic that has
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
[HTML][HTML] Application of swarm intelligence optimization algorithms in image processing: A comprehensive review of analysis, synthesis, and optimization
M Xu, L Cao, D Lu, Z Hu, Y Yue - Biomimetics, 2023 - mdpi.com
Image processing technology has always been a hot and difficult topic in the field of artificial
intelligence. With the rise and development of machine learning and deep learning …
intelligence. With the rise and development of machine learning and deep learning …
A Fine‐Tuned BERT‐Based Transfer Learning Approach for Text Classification
R Qasim, WH Bangyal, MA Alqarni… - Journal of healthcare …, 2022 - Wiley Online Library
Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …
[PDF][PDF] The Human Eye Pupil Detection System Using BAT Optimized Deep Learning Architecture.
S Navaneethan, PSS Sreedhar… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
The pupil recognition method is helpful in many real-time systems, including ophthalmology
testing devices, wheelchair assistance, and so on. The pupil detection system is a very …
testing devices, wheelchair assistance, and so on. The pupil detection system is a very …
[HTML][HTML] Analyzing RNA-seq gene expression data using deep learning approaches for cancer classification
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights
into differentially expressed genes. However, it is challenging because of its high …
into differentially expressed genes. However, it is challenging because of its high …
A2-LSTM for predictive maintenance of industrial equipment based on machine learning
Predictive maintenance (PdM) is a prominent anomaly prediction strategy in the
manufacturing system given the increasing need to minimize downtime and economic …
manufacturing system given the increasing need to minimize downtime and economic …
Detection of Fake News Text Classification on COVID‐19 Using Deep Learning Approaches
WH Bangyal, R Qasim, NU Rehman… - … methods in medicine, 2021 - Wiley Online Library
A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …
media sites, and social networking. Twitter is an essential popular microblog where people …
[HTML][HTML] Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data
Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …
transportation. Nowadays, mobility data have become increasingly available with the …
[PDF][PDF] New Modified Controlled Bat Algorithm for Numerical Optimization Problem.
Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve
diverse kinds of optimization problems. BA leverages the echolocation feature of bats …
diverse kinds of optimization problems. BA leverages the echolocation feature of bats …
[HTML][HTML] Comparison of monkeypox and wart DNA sequences with deep learning model
After the COVID-19 disease, monkeypox disease has emerged today and has started to be
seen almost everywhere in the world in a short time. Monkeypox causes symptoms such as …
seen almost everywhere in the world in a short time. Monkeypox causes symptoms such as …