Hybrid model for detection of cervical cancer using causal analysis and machine learning techniques
UK Lilhore, M Poongodi, A Kaur… - … Methods in Medicine, 2022 - Wiley Online Library
Cervical cancer has become the third most common form of cancer in the in‐universe, after
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …
Privacy-preserving brain–computer interfaces: A systematic review
A brain–computer interface (BCI) establishes a direct communication pathway between the
human brain and a computer. It has been widely used in medical diagnosis, rehabilitation …
human brain and a computer. It has been widely used in medical diagnosis, rehabilitation …
[HTML][HTML] Sentiment analysis and classification of Indian farmers' protest using twitter data
Protests are an integral part of democracy and an important source for citizens to convey
their demands and/or dissatisfaction to the government. As citizens become more aware of …
their demands and/or dissatisfaction to the government. As citizens become more aware of …
Evaluation of neuro images for the diagnosis of Alzheimer's disease using deep learning neural network
M Hamdi, S Bourouis, K Rastislav… - Frontiers in Public …, 2022 - frontiersin.org
Alzheimer's Disease (AD) is a progressive, neurodegenerative brain disease and is an
incurable ailment. No drug exists for AD, but its progression can be delayed if the disorder is …
incurable ailment. No drug exists for AD, but its progression can be delayed if the disorder is …
An artificial intelligence-based stacked ensemble approach for prediction of protein subcellular localization in confocal microscopy images
Predicting subcellular protein localization has become a popular topic due to its utility in
understanding disease mechanisms and developing innovative drugs. With the rapid …
understanding disease mechanisms and developing innovative drugs. With the rapid …
Classification of COVID-19 individuals using adaptive neuro-fuzzy inference system
Coronavirus is a fatal disease that affects mammals and birds. Usually, this virus spreads in
humans through aerial precipitation of any fluid secreted from the infected entity's body part …
humans through aerial precipitation of any fluid secreted from the infected entity's body part …
Effective task scheduling algorithm with deep learning for Internet of Health Things (IoHT) in sustainable smart cities
SM Nagarajan, GG Deverajan, P Chatterjee… - Sustainable Cities and …, 2021 - Elsevier
In the recent years, important key factor for urban planning is to analyze the sustainability
and its functionality towards smart cities. Presently, many researchers employ the …
and its functionality towards smart cities. Presently, many researchers employ the …
Recurrent neural network and reinforcement learning model for COVID-19 prediction
Detection and prediction of the novel Coronavirus present new challenges for the medical
research community due to its widespread across the globe. Methods driven by Artificial …
research community due to its widespread across the globe. Methods driven by Artificial …
Privacy-preservation in the context of natural language processing
Data privacy is one of the highly discussed issues in recent years as we encounter data
breaches and privacy scandals often. This raises a lot of concerns about the ways the data is …
breaches and privacy scandals often. This raises a lot of concerns about the ways the data is …
COVID‐19 diagnosis system by deep learning approaches
HK Bhuyan, C Chakraborty, Y Shelke… - Expert Systems, 2022 - Wiley Online Library
The novel coronavirus disease 2019 (COVID‐19) has been a severe health issue affecting
the respiratory system and spreads very fast from one human to other overall countries. For …
the respiratory system and spreads very fast from one human to other overall countries. For …