[HTML][HTML] Remote monitoring system using slow-fast deep convolution neural network model for identifying anti-social activities in surveillance applications

EM Onyema, S Balasubaramanian, C Iwendi… - Measurement …, 2023 - Elsevier
Remote monitoring is the process that monitors and observes information from a distance
utilizing sensors or electronic types of equipment. Remote monitoring is used in real-time …

Heart disease risk prediction using deep learning techniques with feature augmentation

MT García-Ordás, M Bayón-Gutiérrez… - Multimedia Tools and …, 2023 - Springer
Cardiovascular diseases state as one of the greatest risks of death for the general
population. Late detection in heart diseases highly conditions the chances of survival for …

[HTML][HTML] Evaluation of IoT-Enabled hybrid model for genome sequence analysis of patients in healthcare 4.0

EM Onyema, UK Lilhore, P Saurabh, S Dalal… - Measurement …, 2023 - Elsevier
Genome sequence matching is vital for health analytics and treatment in healthcare 4.0. It
focuses on finding whether a given sequence resembles other sequences that can help …

Application of artificial intelligence for classification, segmentation, early detection, early diagnosis, and grading of diabetic retinopathy from fundus retinal images: A …

G Rajarajeshwari, GC Selvi - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) remains a major factor contributing to vision loss worldwide,
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …

[HTML][HTML] A fusion architecture to deliver multipurpose mobile health services

AG Bermúdez, D Carramiñana, AM Bernardos… - Computers in Biology …, 2024 - Elsevier
Mobile Health (mHealth) services typically make use of customized software architectures,
leading to development-dependent fragmentation. Nevertheless, irrespective of their specific …

A novel ai based early diabetic retinopathy detection using retinal images

S Navaneethan, NSD Raj… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Diabetic Retinopathy (DR), a common complication of diabetes, is a leading cause of
blindness. Early detection is important to prevent vision loss. This study explores the …

AI model for blockchain based industrial application in healthcare IoT

V Bibhu, L Das, A Rana, S Sharma… - AI Models for Blockchain …, 2023 - Springer
Artificial intelligence is one of the prominent areas that automates the functional system to
reduce human efforts and cost incurs by healthcare industries. Blockchain, the Internet of …

[HTML][HTML] DR-NASNet: Automated system to detect and classify diabetic retinopathy severity using improved pretrained NASNet model

MZ Sajid, MF Hamid, A Youssef, J Yasmin, G Perumal… - Diagnostics, 2023 - mdpi.com
Diabetes is a widely spread disease that significantly affects people's lives. The leading
cause is uncontrolled levels of blood glucose, which develop eye defects over time …

[PDF][PDF] NEP-2020's Implementation & Execution: A Study Conducted Using Neutrosophic PESTEL Analysis.

M Yasir, A Zafar, MA Wajid - International Journal of Neutrosophic …, 2023 - researchgate.net
It is evident how crucial education is to a person's overall development. The knowledge of
the economy and society is still in its infancy. In terms of social and economic elements …

Diabetic retinopathy disease detection using shapley additive ensembled densenet-121 resnet-50 model

AR Mary, P Kavitha - Multimedia Tools and Applications, 2024 - Springer
Diabetic retinopathy (DR) is a common eye disease that results in vision loss by damaging
the blood vessels. Diabetic patients are at high risk of develo** DR owing to the damage …