Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers
MG Lanjewar, KG Panchbhai, P Charanarur - Expert Systems with …, 2023 - Elsevier
Lung cancer is a highly life-threatening disease worldwide, and detection is crucial. In this
study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four …
study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four …
Deep learning for predicting respiratory rate from biosignals
In the past decade, deep learning models have been applied to bio-sensors used in a body
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
Recent omics-based computational methods for COVID-19 drug discovery and repurposing
Abstract The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), is the main reason for the increasing …
respiratory syndrome coronavirus 2 (SARS-CoV-2), is the main reason for the increasing …
[HTML][HTML] Improved KNN algorithms of spherical regions based on clustering and region division
H Wang, P Xu, J Zhao - Alexandria Engineering Journal, 2022 - Elsevier
The KNN classification algorithm is one of the most commonly used algorithm in the AI field.
This paper proposes two improved algorithms, namely KNN TS, and KNN TS-PK+. The two …
This paper proposes two improved algorithms, namely KNN TS, and KNN TS-PK+. The two …
[PDF][PDF] Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning.
Metaverse is one of the main technologies in the daily lives of several people, such as
education, tour systems, and mobile application services. Particularly, the number of users of …
education, tour systems, and mobile application services. Particularly, the number of users of …
COVID-19 prediction based on genome similarity of human SARS-CoV-2 and bat SARS-CoV-like coronavirus
H Arslan - Computers & Industrial Engineering, 2021 - Elsevier
This paper proposes an efficient and accurate method to predict coronavirus disease 19
(COVID-19) based on the genome similarity of the severe acute respiratory syndrome …
(COVID-19) based on the genome similarity of the severe acute respiratory syndrome …
Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis
OAMF Alnaggar, BN Jagadale, MAN Saif… - Artificial Intelligence …, 2024 - Springer
In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …
Symptoms-based fuzzy-logic approach for COVID-19 diagnosis
The coronavirus (COVID-19) pandemic has caused severe adverse effects on the human life
and the global economy affecting all communities and individuals due to its rapid spreading …
and the global economy affecting all communities and individuals due to its rapid spreading …
PSAC-PDB: Analysis and classification of protein structures
This paper presents a novel framework, called PSAC-PDB, for analyzing and classifying
protein structures from the Protein Data Bank (PDB). PSAC-PDB first finds, analyze and …
protein structures from the Protein Data Bank (PDB). PSAC-PDB first finds, analyze and …
Predicting novel drug candidates against Covid-19 using generative deep neural networks
The novel Coronavirus outbreak has created a massive economic crisis, and many succumb
to death, disturbing the lives of mankind all over the world. Currently, there are no viable …
to death, disturbing the lives of mankind all over the world. Currently, there are no viable …