Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

S Singh, PK Sharma, B Yoon, M Shojafar… - Sustainable cities and …, 2020 - Elsevier
In the digital era, the smart city can become an intelligent society by utilizing advances in
emerging technologies. Specifically, the rapid adoption of blockchain technology has led a …

[HTML][HTML] Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review

J Chaki, ST Ganesh, SK Cidham… - Journal of King Saud …, 2022 - Elsevier
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …

Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long short …

YB Özçelik, A Altan - Fractal and Fractional, 2023 - mdpi.com
Diabetic retinopathy (DR), which is seen in approximately one-third of diabetes patients
worldwide, leads to irreversible vision loss and even blindness if not diagnosed and treated …

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

S Bhattacharya, PKR Maddikunta, QV Pham… - Sustainable cities and …, 2021 - Elsevier
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …

An ensemble machine learning approach through effective feature extraction to classify fake news

S Hakak, M Alazab, S Khan, TR Gadekallu… - Future Generation …, 2021 - Elsevier
There are numerous channels available such as social media, blogs, websites, etc., through
which people can easily access the news. It is due to the availability of these platforms that …

Analysis of dimensionality reduction techniques on big data

GT Reddy, MPK Reddy, K Lakshmanna, R Kaluri… - Ieee …, 2020 - ieeexplore.ieee.org
Due to digitization, a huge volume of data is being generated across several sectors such as
healthcare, production, sales, IoT devices, Web, organizations. Machine learning algorithms …

A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU

TR Gadekallu, DS Rajput, MPK Reddy… - Journal of Real-Time …, 2021 - Springer
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …

A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning

D Das, SK Biswas, S Bandyopadhyay - Multimedia Tools and Applications, 2022 - Springer
Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …

Enhancement of detection of diabetic retinopathy using Harris hawks optimization with deep learning model

N Gundluru, DS Rajput, K Lakshmanna… - Computational …, 2022 - Wiley Online Library
In today's world, diabetic retinopathy is a very severe health issue, which is affecting many
humans of different age groups. Due to the high levels of blood sugar, the minuscule blood …

Deep neural networks to predict diabetic retinopathy

TR Gadekallu, N Khare, S Bhattacharya… - Journal of Ambient …, 2023 - Springer
Diabetic retinopathy is a prominent cause of blindness among elderly people and has
become a global medical problem over the last few decades. There are several scientific …