Deep learning techniques for prediction and diagnosis of diabetes mellitus

S Pal, N Mishra, M Bhushan, PS Kholiya… - 2022 International …, 2022 - ieeexplore.ieee.org
Diabetes Mellitus (DM) is a serious chronic disease that affects billions of people worldwide.
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …

Prediction of diabetes through retinal images using deep neural network

M Ragab, ASAM Al-Ghamdi, B Fakieh… - Computational …, 2022 - Wiley Online Library
Microvascular problems of diabetes, such as diabetic retinopathy and macular edema, can
be seen in the eye's retina, and the retinal images are being used to screen for and …

[HTML][HTML] A hybrid model based on convolution neural network and long short-term memory for qualitative assessment of permeable and porous concrete

M Kumar, S Singh, S Kim, A Anand, S Pandey… - Case Studies in …, 2023 - Elsevier
Estimating design factors like concrete strength and durability is complicated by the cement
industry's practice of producing multiple grades of cement for different uses, necessitating …

Alzheimer's Dementia and its Various Biomarker Details with Several Detection Methodologies-A Comprehensive Review

RK Singh, DK Choubey - … on Cloud Computing, Data Science & …, 2024 - ieeexplore.ieee.org
Dementia is the most critical neurodegenerative disease that gradually destroys memory
and other cognitive functions. Hence early detection is utmost necessary and to build an …

Deconstructive human face recognition using deep neural network

RK Dubey, DK Choubey - Multimedia Tools and Applications, 2023 - Springer
Confront reproduction or confront optimization as a biometric, encompasses a few points of
interest in measurable application. The estimate and structure of confront are inactive of a …

Analysis and recognition of clinical features of diabetes based on convolutional neural network

R Wang, P Li, Z Yang - Computational and Mathematical …, 2022 - Wiley Online Library
Diabetes mellitus is a common chronic noncommunicable disease, the main manifestation
of which is the long‐term high blood sugar level in patients due to metabolic disorders …

Detecting heart arrhythmias using deep learning algorithms

DK Choubey, CK Jha, N Kumar… - … of Cloud with AI for …, 2023 - Wiley Online Library
An electrocardiogram measures the electrical activity of the heart and has been widely used
for detecting heart diseases due to its simplicity and non‐invasive nature. It is possible to …

Observer‐based control for plasma glucose regulation in type 1 diabetes mellitus patients with unknown input delay

B Targui, JF Castro‐Gomez… - International Journal …, 2024 - Wiley Online Library
This article introduces an observer‐based control strategy tailored for regulating plasma
glucose in type 1 diabetes mellitus patients, addressing challenges like unknown time …

Predictive Analytics for Mortality: FSRNCA-FLANN Modeling Using Public Health Inventory Records

M Kumar, SK Singh, S Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Predictive analytics involves the use of Artificial Intelligence (AI) and Machine Learning (ML)
techniques to analyze current and historical data, identify patterns, and make predictions …

IoT driven precision cultivation for diverse Indian climate conditions

DK Choubey, A Gupta, S Suvvari, N Pathak - Soft Computing: Theories …, 2022 - Springer
India is an agricultural country. A significant percentage of GDP (approx. eighteen percent)
is contributed by agriculture sector. Due to uneven soil conditions and unpredictable …